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Computer Science Personal Statement (Guide + Examples!)

Applying to study computer science can be quite a complicated programs. There are so many programs out there with so many application requirements. But don’t worry, we’re here to help.

In this blog post, we’ll give you some tips on how to write a computer science personal statement that will increase your chances of getting accepted into the program of your choice.

Table of Contents

What Is a computer science personal statement?

A computer science personal statement is a document that you submit as part of your application to study computer science.

In this statement, you’ll need to talk about your motivation for wanting to study computer science, as well as your skills and experience . This is your chance to sell yourself to the admissions committee and demonstrate why you’re the perfect candidate for their program.

Anatomy of a personal statement

Now that we’ve covered what a computer science personal statement is, let’s take a look at what it should include.

1. Introduction

Your computer science personal statement should start with a brief introduction . In this section, you’ll want to introduce yourself as a computer science applicant and explain why you’re interested in studying computer science. This is your chance to grab the attention of the admissions committee and make them want to read on.

2. Your motivation for wanting to study computer science

In this section, you’ll need to explain your motivation for wanting to study computer science. What is it about computer science that interests you? What are your long-term career aspirations? This is your chance to sell yourself to the admissions committee and demonstrate your commitment to the subject.

3. Your skills and experience

In this section, you’ll need to talk about your skills and experience . What computer science-related courses have you taken? Do you have any industry experience? This is your chance to show the admissions committee that you have the skills and experience necessary to succeed in their program.

4. Conclusion

Your computer science personal statement should end with a brief conclusion . In this section, you’ll want to restate your motivation for wanting to study computer science and reiterate your commitment to the subject. This is your chance to leave a lasting impression on the admissions committee.

Who reads my computer science personal statement?

The computer science personal statement is read by the admissions committee of the computer science department to which you’re applying.

This committee is made up of professors and industry professionals who are experts in the field of computer science. They will use your personal statement to determine whether or not you’re a good fit for their program.

Usually, the admission review process includes several rounds, and your computer science personal statement will be read by multiple members of the admissions committee.

How long should my computer science personal statement be?

Your computer science personal statement should be between 500 and 1000 words . This is enough space for you to introduce yourself, talk about your motivation for wanting to study computer science, and discuss your skills and experience.

Speaking in pages, your computer science personal statement should be one to two pages long . If your personal statement is longer than that, the admissions committee is likely to skim it, or even worse, not read it at all.

What should I include in my computer science personal statement?

There are a few things you will want to include in your computer science personal statement. In general, you should provide the admissions committee with convincing motivation and evidence that will portray you as someone both passionate and promising as a future computer science student.

Some things that you may want to include in your computer science personal statement are:

• Source of motivation for studying computer science
• Evidence of programming or quantitative abilities
• Competitions/olympiads
• Relevant work experience
• Relevant projects
• Accomplishments
• Future career aspirations

Your personal statement may also include other information that you feel is important for the admissions committee to know about you. However, make sure that whatever you include is relevant to computer science and will help you stand out as a strong candidate.

What should I not write in my computer science personal statement?

There are a few things you’ll want to avoid including in your computer science personal statement. First, avoid repeating information that is already available in your application . The admissions committee will already have access to your transcripts, test scores, and resume, so there’s no need to include this information in your personal statement.

Second, avoid including information that is not relevant to computer science . The admissions committee is looking for evidence that you’re passionate about computer science and have the skills and experience necessary to succeed in their program, so including information about your hobbies or extracurricular activities may not be the best way to go forward.

An exception to this is if you’re including information about extenuating circumstances that have impacted your academic performance, in which case you should briefly explain how these circumstances have affected you and why you’re still a strong candidate for their program.

Finally, avoid using cliches, quotes, or formulas in your computer science personal statement . The admissions committee is looking for an original and authentic voice, so be sure to write in your own words.

Tips on writing a top-notch computer science personal statement

Now that we’ve gone over what to include and what not to include in your computer science personal statement, let’s talk about how you can write a top-notch personal statement.

First, start by brainstorming a list of your computer science-related experiences, skills, and accomplishments . This will give you a good starting point for your personal statement and help you determine what information is most relevant to include.

As you’re drafting your computer science personal statement, be sure to keep the following tips in mind:

• Write in clear, concise, and easy-to-understand language
• Use active voice
• Be honest and authentic
• Personalize your statement to the program you’re applying to
• Proofread your statement for grammar, spelling, and punctuation errors

By following these tips, you can write a computer science personal statement that is sure to impress the admissions committee and increase your chances of getting into your dream program.

Computer science personal statement examples

Now that we’ve covered the basics of what a computer science personal statement should include, let’s take a look at some computer science personal statement examples.

“I have been programming since I was 12 years old, and ever since then I have been fascinated by the possibilities that computer science offers. I am motivated by the idea of being able to create something from scratch and see it come to life, and I know that computer science will allow me to do just that. In addition, I have experience in working with code from different languages, which has taught me how to think critically and solve problems. My skills in critical thinking and problem solving are essential for studying computer science, as they will allow me to tackle complex challenges head-on.

Apart from my skills and experience, I am also passionate about learning new things. This is why during my free time I volunteered for Code for America, where I worked with a team of designers and developers to build a civic engagement platform. This experience showed me the importance of collaboration when it comes to creating something amazing, and it solidified my belief that teamwork is key to success.

Another project I got involved with was the development of a computer game for blind children. This project was important to me because it allowed me to use my skills for something good, and it also showed me how computer science can be used to create inclusive technologies.

Last year, I also had the opportunity to intern at Lyft, where I worked on a team that developed a new feature for the Lyft app. This experience was invaluable, as it gave me insights into the inner workings of one of the world’s most successful companies. It also showed me how computer science can be used to solve real-world problems.

Ultimately, I believe that I would be an excellent candidate for your computer science program because of my passion for the field combined with my skills and experience. I am confident that I have what it takes to succeed in computer science, and I hope to use my skills and knowledge to make a difference in the world.”

“I have always been interested in the way computers work and how they can be used to solve problems. This interest began when I was very young and has continued to grow as I have gotten older. My father is a computer scientist, so I have been exposed to computer science my entire life. In high school, I took several computer science courses and really enjoyed them. I also competed in several programming competitions and did well in them. In the following essay, I want to highlight my accomplishments as a computer science candidate and express my passion for this exciting field.

I am a computer science major at *NAME* University. I have taken several computer science courses and have gotten exceptional grades. My favorite course so far has been Introduction to Algorithms, for which I worked as a teaching assistant during my third year. I also competed in the Association for Computing Machinery International Collegiate Programming Contest, and our team placed in the top 100 out of 6,000 teams worldwide. This experience showed me that I have the ability to solve complex problems and work well under pressure.

As a student, I also worked as a part-time research assistant in the AI and Robotics laboratory, where I assisted in the development of a computer vision system for an autonomous robot. This experience allowed me to develop my skills in programming and computer science. In addition, I have also been a member of the Student Senate and have served on the Executive Board of the Student Government Association. These experiences have allowed me to develop leadership skills and learn how to work with others.

I am interested in computer science because it is a field that is constantly changing and evolving. There are always new problems to solve and new ways to solve them. I find this challenge exciting and invigorating. I am also interested in computer science because it is a field that combines creativity with logic. I enjoy using both my creative and logical sides when solving problems.

I am applying to your program specifically because I believe that it will allow me to further develop my skills in computer science. I am looking forward to taking classes from renowned professors and working with other talented students. I believe that your program will provide me with the skills and knowledge that I need to become a successful computer scientist.”

“Computers have always been a part of my life. As a toddler, I would watch my father work on computer programs for his business. Fascinated by the blinking cursor on the screen, I would ask him what he was doing and how it worked. My parents bought me my first computer when I was in grade school and I taught myself how to program in BASIC.

Since then, computer science has been my passion. I have pursued every opportunity to learn more about it, including taking computer science courses in high school and college and working as a research assistant for a computer science professor. I am excited to continue learning about computer science at the graduate level and to pursue a career in this field.

One of my biggest accomplishments in the field of computer science so far has been developing a computer program that can generate 3D models of human faces. This program has the potential to be used in a variety of applications, such as video game development, computer-aided design, and even law enforcement. I am currently working on submitting this program to a computer science conference for publication.

I have also been involved in a number of extracurricular activities related to computer science. I am a member of the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers. I have also volunteered my time to teach computer science to elementary and middle school students through a local program called Girls Who Code.

Besides this, I have worked on several personal coding projects of my own. For example, I created a computer program that can solve Sudoku puzzles by using a technique called constraint satisfaction. I also developed a website for a local business called Joe’s pizzeria. My skills in computer science have also helped me in my other hobbies, such as photography and video editing. For the latter, I made a light correction tool that can automatically color-correct a video based on the primer of a still image.

I believe that my passion for computer science, as well as my experience in the field, makes me an ideal candidate for a graduate program in computer science. I am excited to continue learning and expanding my skills in computer science so that I can make an impact in this field. For this reason, I am excited to submit an early decision application to your computer science graduate program.”

What should I do after I have my first draft?

After you have completed the first draft of your computer science personal statement, you should follow these steps to edit, polish, and finalize your computer science personal statement:

1. Check the word count : Most programs will give you a word or a page limit for your computer science personal statement. Make sure you stay within that limit, as going over it can make you seem like you can’t follow instructions.

2. Proofread and edit it : This step is crucial. A well-written and error-free computer science personal statement will make you look more professional and competent. Use spell check and grammar check , and then have someone else proofread it for you.

3. Ask for feedback : Once you’ve proofread and edited your computer science personal statement, ask a few people for their feedback. Choose people whose opinions you trust and who will be honest with you.

4. Repeat steps 2 and 3 as needed : After you’ve received feedback, make the necessary changes to your computer science personal statement. Then, proofread and edit it again. Repeat this cycle until you’re happy with your statement.

5. Modify personal statement for each program : Don’t just submit the same computer science personal statement to every program you apply to. Tailor it to each individual program, highlighting why you’re a good fit for that specific school.

6. Submit : Once you’re happy with your computer science personal statement, submit it along with the rest of your application.

Make sure you give yourself enough time to do all of the steps above so that you can submit a strong statement. Remember, this is just one part of your overall application package, so make sure all other elements are strong as well—such as your grades, letters of recommendation , and resume.

We hope that this guide has been helpful and that you feel more confident in your ability to write a stellar computer science personal statement. Remember, the most important thing is to be yourself and let your passion for computer science shine through. As long as you are genuine and articulate your interest in the field, you are sure to impress admissions officers. Best of luck!

Elmar Mammadov is a software developer, tech startup founder, and computer science career specialist. He is the founder of CS Careerline and a true career changer who has previously pursued careers in medicine and neuroscience.

Due to his interest in programming and years of past personal experience in coding, he decided to break into the tech industry by attending a Master’s in Computer Science for career changers at University of Pennsylvania. Elmar passionately writes and coaches about breaking into the tech industry and computer science in general.

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Data Science Personal Statement Samples with Examples

A data science personal statement is crucial for pursuing a career in the field as it allows individuals to showcase their qualifications, experiences, and aspirations.

It serves as a platform to express their passions and highlight their academic backgrounds, technical skills, and practical experiences. The statement enables individuals to articulate career goals, research interests, and potential contributions. 

In that sense, a personal statement examples are valuable as it offers guidance and examples of successful statements, providing insights into key elements, structure, and content. Samples also inspire and motivate by showcasing possibilities and achievements in the data science field. They help individuals understand how to express their passion, highlight relevant skills, and align career goals. 

If you are a data science enthusiast, consider enrolling in an Advanced Certificate Programme in Data Science to boost your resume.

What is a Data Science Personal Statement?

Data science personal statements are written statements or essays by individuals aiming to pursue courses like a Master of Science in Data Science from LJMU or aspiring to pursue a career in data science. These statements allow applicants to showcase their passion, skills, and experiences related to data science. Personal statements must be submitted as a part of the application process. 

They typically highlight the individual’s motivation for choosing data science, their relevant academic background, technical skills, and any practical experience they have gained. Personal statements also allow applicants to express their career goals, research interests, and how they envision contributing to the field of data science. 

As a student or professional in this field, referring to a data science personal statement sample is crucial in conveying your suitability and enthusiasm to the admissions committee or potential employers.

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Key Elements of a Strong Data Science Personal Statement

The essential components of a compelling personal statement for data science comprise:

• Genuine Passion and Drive: Demonstrating a deep-rooted enthusiasm for data science and a solid motivation to pursue a career in this field.
• Academic Background: Showcasing academic accomplishments relevant to data science, such as degrees, coursework, or research projects in quantitative disciplines.
• Technical Proficiency: Exhibiting expertise in programming languages (like Python or R), statistical analysis, machine learning techniques, data manipulation, and visualisation tools.
• Practical Exposure: Highlighting practical experiences, such as internships, projects, or industry engagements that have honed data science skills.
• Areas of Interest in Research: Creatively ideating your areas of interest in data science, like computer vision, predictive modelling, and natural language processing and discussing research contributions or projects in these domains.
• Analytical Problem-Solving: Demonstrating skills in problem-solving, critical thinking, and applying appropriate data science methods to real-world challenges.
• Efficient Collaboration and Communication: Emphasising efficient communication skills, teamwork capabilities, and the ability to convey complex concepts to non-technical audiences.
• Future Aspirations: Outlining long-term career goals in data science and how one envisions utilising this field to impact the industry or domain of their choice.

Example 1: Personal Statement for an Entry-Level Data Science Position

I am eager to apply for this role as I have a degree in Computer Science and a course concentration on statistics and machine learning. Along with a strong base in data analytics, I have commendable analytical skills and an aptitude for problem-solving. I have also taken an active part in multiple relevant projects in which I was required to work with algorithms to derive insights from numerous datasets. 

Additionally, my internship experience exposed me to real-world challenges, refining my expertise in data cleansing and preprocessing for effective modelling. I am excited about the opportunity to contribute to a dynamic team, leveraging my technical skills and enthusiasm to drive data-informed decision-making and deliver impactful solutions. I believe I am a potential candidate for an entry-level data science role. 

Example 2: Personal Statement for a Data Analyst Role

As an ambitious individual aiming for a data analyst role, I am enthusiastic about applying my analytical abilities and dedication to data-driven insights within a vibrant organisation. Equipped with a degree in statistics and hands-on involvement in data manipulation and visualisation, I have established a strong foundation in data analysis. 

Throughout my academic endeavours, I have refined my aptitude for extracting valuable insights and effectively communicating them to key stakeholders. Moreover, my internship at a well-known company allowed me to apply statistical methodologies to extensive datasets, further augmenting my analytical proficiencies. 

I eagerly look forward to applying my technical acumen and problem-solving prowess to unearth meaningful insights, facilitate data-led decision-making, and contribute to the organisation’s triumphs.

Example 3: Personal Statement for a Data Scientist Position

I am enthusiastic about data science and am beyond elated by its potential to take my area of interest to greater heights. I have cultivated a profound understanding of statistical modelling, machine learning algorithms, and the art of data visualisation required to fulfil my role as a data scientist. I have upskilled myself with strong analytical and problem-solving skills, a Master’s in Data Science and hands-on experience in research projects. 

Throughout my academic trajectory, I actively participated in endeavours that harnessed advanced analytics to extract profound insights from expansive datasets. Furthermore, my professional background has honed my collaborative acumen, bolstered my contributions to data-driven initiatives, and engendered actionable recommendations. 

I eagerly anticipate harnessing my expertise in data analysis, programming prowess, and problem-solving aptitude to propel innovation, facilitate data-driven decision-making, and profoundly contribute to the organisation’s achievements as a data scientist.

Example 4: Personal Statement for a Data Engineer Role

As a dedicated advocate of harnessing the transformative potential of data, I am thrilled to pursue a data engineer role where I can utilise my technical aptitude and drive impactful solutions. 

I have a Bachelor’s degree in Computer Science and professional experience in database management, ETL processes, and data pipeline development. I have established a strong foundation in data engineering principles. Proficient in SQL, Python, and cloud platforms, I can efficiently transform raw data into valuable insights. Throughout my academic journey, I actively participated in projects that involved designing and implementing robust data architectures, optimising query performance, and ensuring data integrity. 

I am eager to contribute my expertise and collaborate with cross-functional teams to construct scalable and reliable data infrastructure that empowers data-driven decision-making.

Example 5: Personal Statement for a Machine Learning Engineer Position

As a passionate advocate of leveraging machine learning to drive innovation, I am excited to pursue a position as a machine learning engineer where I can apply my technical expertise and problem-solving skills to develop cutting-edge solutions. 

I have gained a solid understanding of the field with a strong academic background in computer science and a focus on machine learning algorithms and model development. I have honed my data preprocessing, feature engineering, and model evaluation skills through my project work and internships.

I am eager to collaborate with interdisciplinary teams, apply my knowledge in practical settings, and contribute to creating intelligent systems that positively impact industries and society.

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Tips for writing an effective data science personal statement.

Here are some tried and tested tips for writing an impactful data science personal statement:

• Clearly express your deep enthusiasm for the field of data science: Begin your statement by articulating your genuine passion and excitement for data science. Elucidate what captivates you about data analysis, machine learning, or any particular aspect of data science that ignites your motivation.
• Emphasise your pertinent academic background: Highlight your educational qualifications, such as degrees, coursework, or certifications, that directly relate to data science. Discuss specific subjects you have studied, projects you have engaged in, and any research experience you have gained.
• Showcase your technical proficiencies: Outline the technical skills you have acquired, including programming languages (Python, R, SQL), statistical analysis, machine learning algorithms, data visualisation, or frameworks for big data processing. Offer concrete and quantifiable examples of how you have applied these skills in practical projects or academic assignments.
• Share your practical experiences: Discuss any internships, industry projects, or research opportunities where you have gained hands-on experience with real-world data and problem-solving. Highlight notable achievements, challenges you have confronted, and strategies to overcome them.
• Demonstrate your problem-solving capabilities: Elaborate on your approach to resolving intricate problems through data-driven methodologies. Expound upon how you analyse data, formulate hypotheses, design experiments, and assess results to extract meaningful insights and make well-informed decisions.
• Establish a connection between your goals and the field: Articulate your career aspirations clearly and explain how embarking on a data science career aligns with those ambitions. Discuss specific areas or industries that interest you, and elucidate how your skills and expertise can contribute to tackling challenges in those domains.
• Highlight your communication and teamwork skills: Acknowledge that data science entails effective communication and collaboration. Showcase instances where you have adeptly conveyed complex concepts to non-technical stakeholders or collaborated within multidisciplinary teams to achieve project objectives.
• Tailor your statement to the specific role or programme: Customise your statement to match the requirements and expectations of the data science position or programme for which you are applying. Conduct thorough research on the organisation or university to grasp their focal points, projects, or faculty expertise, and integrate pertinent details to demonstrate your suitability and alignment.
• Strive for concise and well-structured content: Maintain focus and conciseness throughout your statement, ensuring each sentence contributes value and reinforces your overall message. Employ a logical structure, commencing with an engaging introduction, developing well-articulated body paragraphs, and culminating in a firm conclusion.
• Carefully review and edit: Before submission, meticulously review your personal statement for grammatical, spelling, and punctuation errors. Verify consistency in tone, smoothness of flow, and compelling content. Seek feedback from reliable sources, such as mentors or professors, to obtain valuable insights and recommendations for refinement.

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Data science personal statement samples provide invaluable guidance and inspiration for aspiring data scientists. They catalyse self-reflection and help applicants align their own experiences and aspirations with the dynamic field of data science. By studying successful personal statements, you can gain insights into the key elements, structure, and content required to create a compelling personal statement. 

Armed with a professional certification like an Executive PG Programme in Data Science from IIIT Bangalore , you can craft personal statements that effectively convey your unique qualities, setting you apart and increasing your chances of securing admission or job opportunities in the competitive field of data science.

Pavan Vadapalli

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Frequently Asked Questions (FAQs)

The statement of purpose for data science should encompass the reasons for selecting data science as a specialisation, aspirations for a career in the field, and a strategic plan outlining how the acquired data science education will be utilised to attain those goals.

It is advisable to share pertinent details of employment, internships, work experience, or voluntary engagements, particularly those relevant to the chosen course of study. Establishing a connection between the experiences and the skills or qualities that contribute to a candidate's potential for success is crucial.

The introduction of a personal statement should commence with an explanation of the rationale behind choosing the field of study, summarised in one or two sentences. Be original and avoid clichéd opening sentences, quotes, or overused expressions to maintain a fresh and engaging introduction.

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Writing the Perfect Computer Science Personal Statement

How to write a perfect computer science personal statement

Introduction.

Securing a place in a prestigious university computer science course can be highly competitive. If you are aiming for a Russell Group University or even an Oxbridge University, you need to know that they expect high standards. With numerous applicants vying for limited seats, it's crucial to present yourself as an exceptional candidate. One powerful tool at your disposal is the personal statement. This blog post will guide you through the process of crafting a winning personal statement, showcasing your passion for computer science, unique experiences, and future goals. By following these tried-and-tested techniques, you will be equipped to impress admissions committees, increase your chances of acceptance, and embark on an exciting academic journey.

1. Know Your Audience

Before diving into writing your personal statement, it's crucial to understand the expectations and values of the university admissions committee. Research the university's mission, vision, and curriculum to align your goals with theirs. Familiarize yourself with the specific requirements of the computer science program, highlighting key characteristics and skills they are seeking in applicants. This knowledge will enable you to tailor your personal statement to resonate with the selection panel and demonstrate your suitability for the course.

2. Reflect on Your Journey

To create a compelling personal statement, delve into your personal and academic experiences that have shaped your passion for computer science. Reflect on any challenges you have faced and how these have reinforced your determination. Highlight standout moments, such as participation in coding contests, internships, or research projects, that have nurtured your interest in the field. Articulate how these experiences have driven your decision to pursue a computer science course at the university.

3. Showcase Your Skills and Achievements

Highlighting your relevant skills and achievements is essential to demonstrate your competence and distinguish yourself from other applicants. Discuss your proficiency in programming languages, problem-solving abilities, and any noteworthy projects you have undertaken. Provide evidence of your skills using concrete examples, including software development projects, technical challenges overcome, or academic awards attained. By emphasizing your capabilities, you will exhibit your potential value to the computer science program.

4. Convey Your Passion

Universities seek individuals who are passionate about computer science and can contribute to the academic community. Communicate your enthusiasm by explaining how the subject captivates you, discussing influential readings or inspirational innovators. Illustrate how you have pursued your passion outside of formal education, such as attending conferences, participating in coding boot camps, or engaging in open-source projects. Conveying your fervor for the subject will demonstrate your dedication and drive for success.

5. Define Your Future Goals

Admissions committees are interested in candidates with clear vision and ambition. Outline your long-term objectives in the field of computer science, showing how the university's program aligns with your goals. Discuss your aspirations to contribute to cutting-edge technology, address industry-specific challenges, or make a positive societal impact through your work. Demonstrating your future plans will assure the admissions panel of your determination and long-term commitment, increasing your chances of acceptance.

6. Be Authentic and Engaging

While ensuring your personal statement meets academic and professional standards, it should also serve as a reflection of your authentic self. Use a conversational tone and inject your unique personality into your writing. However, strike a balance by maintaining professionalism and avoiding overly informal language. Engage the reader with captivating anecdotes, personal experiences, or thought-provoking ideas. By standing out from the crowd and captivating the admissions committee, you increase the chances of leaving a lasting impression.

Crafting a perfect personal statement for a university computer science course is a meticulous yet rewarding process. By understanding the expectations of the admissions committee, reflecting on your journey, and showcasing your achievements and skills, you can effectively highlight your strengths. Coupled with a genuine passion for computer science and clear future goals that align with the program's objectives, you set yourself apart from other applicants. Remember to remain authentic, engaging, and proofread meticulously to ensure your statement shines. Your well-crafted personal statement will undoubtedly make a compelling case for your acceptance, propelling you towards a successful future in the field of computer science.

See the list of DOs and DONTs when writing a computer science personal statement.

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ICT and Computing Personal Statement

I wish to study an IT and Computer related course as I believe both of these subjects will provide the basis for me to progress into a career with great potential.  I am a hardworking, ambitious young man who is looking forward to the many challenges that University will bring me.

I believe the use of IT are the foundations of major businesses and help them to grow and develop. With the improvements in technology businesses are always looking to strengthen their IT systems to enhance their performance and efficiency. I hope to develop my existing skills and knowledge to become a successful computer technician.

Currently I am studying Level 3 Business and IT Double Award. These are my favourite subjects because I am a huge enthusiast of IT and Business. I have learned the key components of a computer system and how each components works within the system. This knowledge would allow me to consult others and possibly support individuals or businesses to upgrade their IT operations.

Computer development has been a part of my life since an early age. During my childhood I would enjoy developing and constructing technology devices. Learning kinetically about new and advance technological equipment sparked my interest in the subject. My interest rapidly developed through my education at school, these experiences combined with my Business acumen has strengthened my desire to study these subjects at a higher level.

Presently I am learning about the history of computer technology. This was part of my assignment to acknowledge how our society has changed the way we use computers.  To reinforce my knowledge I recently attended a trip to the Centre of Life to learn the history of gaming, computers and IT systems. I was able to use and assess the quality of the computers equipment, nowadays modern day laptops have 1.9GHZ speeds and 1TB RAM  of memory compared to a 30 year old, Commodore 64 which is a  8-bit home computer with a 1.023MHz processor, 64kb RAM memory, 320×200 display output, 16 colours with a weight of 1.8kg, a basic 2.0 Commodore GEOS operating systems and an estimated of 10,000 commercial software which are specifically designed for this computer including office applications, games and development tools. This visit allowed me to gain the knowledge on how technology improves within the years and learnt me about the different parts of computer system. Attending university will offer me the opportunity to gain more experience and learn about computer information and systems.

When I was in year 11 I secured a week’s work experience at Sainsbury’s, my role was to interact with the customers, insure the shelves were frequently stocked and to help the cashiers. This experience was great as I was able to work as part of a successful team and the job allowed me to take on additional responsibilities. I learnt the importance of being reliable, trustworthy and excellent customer service. During my time there I developed my decision making and communication skills. I also realised how important their IT system was insuring the smooth running of the business. There main IT system at Sainsbury’s was the barcode scanners because each item has a unique code to clarify the right product and price that the company have listed on the till monitoring screen. This also takes into consideration stock control and informs the company of how many items the store has sold.

In my spare time I like to play seven a side football weekly at my local Sport Centre. I enjoy keeping healthy alongside the socially interaction of playing sports with my friends. We also visit the cinemas to watch the latest films. As a football fan I attend all of my favourite football team’s home games.

I am a highly motivated individual, thieve under pressure and capable to work in any circumstances, that involves in my subjects and I always give my 100% because I am determined to do well in my future career and to have a satisfied life that I deserve.

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Computers themselves, and software yet to be developed, will revolutionize the way we learn.” – Steve Jobs...

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What is cloud computing? Everything you need to know about the cloud explained

What is cloud computing, in simple terms?

Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet ("the cloud") to offer faster innovation, flexible resources, and economies of scale.

How does cloud computing work?

Rather than owning their own computing infrastructure or data centres, companies can rent access to anything from applications to storage from a cloud service provider.

One benefit of using cloud-computing services is that firms can avoid the upfront cost and complexity of owning and maintaining their own IT infrastructure, and instead simply pay for what they use, when they use it.

In turn, providers of cloud-computing services can benefit from significant economies of scale by delivering the same services to a wide range of customers.

What cloud-computing services are available?

Cloud-computing services cover a vast range of options now, from the basics of storage, networking and processing power, through to natural language processing and artificial intelligence as well as standard office applications. Pretty much any service that doesn't require you to be physically close to the computer hardware that you are using can now be delivered via the cloud –  even quantum computing .

What are examples of cloud computing?

Cloud computing underpins a vast number of services. That includes consumer services like Gmail or the cloud backup of the photos on your smartphone, though to the services that allow large enterprises to host all their data and run all of their applications in the cloud. For example, Netflix  relies on cloud-computing  services to run its its video-streaming service and its other business systems, too.

Cloud computing is becoming the default option for many apps: software vendors are increasingly offering their applications as services over the internet rather than standalone products as they try to switch to a subscription model. However, there are potential downsides to cloud computing, in that it can also introduce new costs and new risks for companies using it.

Why is it called cloud computing?

A fundamental concept behind cloud computing is that the location of the service, and many of the details such as the hardware or operating system on which it is running, are largely irrelevant to the user. It's with this in mind that the metaphor of the cloud was borrowed from old telecoms network schematics, in which the public telephone network (and later the internet) was often represented as a cloud to denote that the location didn't matter – it was just a cloud of stuff. This is an over-simplification of course; for many customers, location of their services and data remains a key issue.

What is the history of cloud computing?

Cloud computing as a term has been around since the early 2000s, but the concept of computing as a service has been around for much, much longer – as far back as the 1960s, when computer bureaus would allow companies to rent time on a mainframe, rather than have to buy one themselves.

These 'time-sharing' services were largely overtaken by the rise of the PC, which made owning a computer much more affordable, and then in turn by the rise of corporate data centres where companies would store vast amounts of data.

But the concept of renting access to computing power has resurfaced again and again – in the application service providers, utility computing, and grid computing of the late 1990s and early 2000s. This was followed by cloud computing, which really took hold with the emergence of software as a service and hyperscale cloud-computing providers such as Amazon Web Services.

How important is the cloud?

Building the infrastructure to support cloud computing now accounts for a significant chunk of all IT spending, while spending on traditional, in-house IT slides as computing workloads continue to move to the cloud, whether that is public cloud services offered by vendors or private clouds built by enterprises themselves.

Indeed, it's increasingly clear that when it comes to enterprise computing platforms,  like it or not, the cloud has won .

Tech analyst Gartner predicts that as much as half of spending across application software, infrastructure software, business process services and system infrastructure markets will have shifted to the cloud by 2025, up from 41% in 2022. It estimates that almost two-thirds of spending on application software will be via cloud computing, up from 57.7% in 2022.

Top Cloud Providers

Top cloud providers: aws, microsoft azure, and google cloud, hybrid, saas players.

Here's a look at how the cloud leaders stack up, the hybrid market, and the SaaS players that run your company as well as their latest strategic moves.

That's a shift that only gained momentum in 2020 and 2021 as businesses accelerated their digital transformation plans during the pandemic. The lockdowns throughout the pandemic showed companies how important it was to be able to access their computing infrastructure, applications and data from wherever their staff were working – and not just from an office.

Gartner said that demand for integration capabilities, agile work processes and composable architecture will drive the continued shift to the cloud.

The scale of cloud spending continues to rise. For the full year 2021, tech analyst IDC expects cloud infrastructure spending to have grown 8.3% compared to 2020 to $71.8 billion, while non-cloud infrastructure is expected to grow just 1.9% to $58.4 billion. Long term, the analyst expects spending on compute and storage cloud infrastructure to see a compound annual growth rate of 12.4% over the 2020-2025 period, reaching $118.8 billion in 2025, and it will account for 67.0% of total compute and storage infrastructure spend. Spending on non-cloud infrastructure will be relatively flat in comparison and reach $58.6 billion in 2025.

All predictions around cloud-computing spending are pointing in the same direction, even if the details are slightly different. The momentum they are describing is the same: tech analyst Canalys reports that worldwide cloud infrastructure services expenditure topped $50 billion in a quarter for the first time in Q4 2021. For the full year, it has cloud infrastructure services spending growing 35% to $191.7 billion

Canalys argues that there is already a new growth opportunity for cloud on the horizon, in the form of augmented and virtual reality and the metaverse. "This will be a significant driver for both cloud services spend and infrastructure deployment over the next decade. In many ways, the metaverse will resemble the internet today, with enhanced capabilities and an amplified compute consumption rate," the analyst said .

What are the core elements of cloud computing?

Cloud computing can be broken down into a number of different constituent elements, focusing on different parts of the technology stack and different use cases. Let's take a look at some of the best known in a bit more detail.

What is Infrastructure as a Service?

Infrastructure as a Service (IaaS) refers to the fundamental building blocks of computing that can be rented: physical or virtual servers, storage and networking. This is attractive to companies that want to build applications from the very ground up and want to control nearly all the elements themselves, but it does require firms to have the technical skills to be able to orchestrate services at that level. 

What is Platform as a Service?

Platform as a Service (PaaS) is the next layer up – as well as the underlying storage, networking, and virtual servers, this layer also includes the tools and software that developers need to build applications on top, which could include middleware, database management, operating systems, and development tools.

What is Software as a Service?

Software as a Service (SaaS) is the delivery of applications as a service, probably the version of cloud computing that most people are used to on a day-to-day basis. The underlying hardware and operating system is irrelevant to the end user, who will access the service via a web browser or app; it is often bought on a per-seat or per-user basis.

SaaS is the largest chunk of cloud spending simply because the variety of applications delivered via SaaS is huge, from CRM such as Salesforce, through to Microsoft's Office 365. And while the whole market is growing at a furious rate, it's the IaaS and PaaS segments that have consistently grown at much faster rates, according to analyst IDC: "This highlights the increasing reliance of enterprises on a cloud foundation built on cloud infrastructure, software-defined data, compute and governance solutions as a Service, and cloud-native platforms for application deployment for enterprise IT internal applications." IDC predicts that IaaS and PaaS will continue growing at a higher rate than the overall cloud market "as resilience, flexibility, and agility guide IT platform decisions".

What is multi-cloud computing?

While the big cloud vendors would be very happy to provide all the computing needs of their enterprise customers, increasingly businesses are looking to spread the load across a number of suppliers.  All of this has lead to the rise of multi-cloud . Part of this approach is to avoid being locked in to just one vendor (which can lead to the sort of high costs and inflexibility that the cloud is often claimed to avoid), and part of it is to find the best mix of technologies across the industry.

That means being able to connect and integrate cloud services from multiple vendors is going to be a new and increasing challenge for business. Problems here include skills shortages (a lack of workers with expertise across multiple clouds) and workflow differences between cloud environments. Customers will also want to manage all their different cloud infrastructure from one place, make it easy to build applications and services and then move them, and ensure that security tools can work across multiple clouds – none of which is especially easy right now.

What are the benefits of cloud computing?

The exact benefits will vary according to the type of cloud service being used but, fundamentally, using cloud services means companies not having to buy or maintain their own computing infrastructure.

No more buying servers, updating applications or operating systems, or decommissioning and disposing of hardware or software when it is out of date, as it is all taken care of by the supplier. For commodity applications, such as email, it can make sense to switch to a cloud provider, rather than rely on in-house skills. A company that specializes in running and securing these services is likely to have better skills and more experienced staff than a small business could afford to hire, so cloud services may be able to deliver a more secure and efficient service to end users.

Using cloud services means companies can move faster on projects and test out concepts without lengthy procurement and big upfront costs, because firms only pay for the resources they consume. This concept of business agility is often mentioned by cloud advocates as a key benefit. The ability to spin up new services without the time and effort associated with traditional IT procurement should mean that it is easier to get going with new applications faster. And if a new application turns out to be wildly popular, the elastic nature of the cloud means it is easier to scale it up fast.

For a company with an application that has big peaks in usage, such as one that is only used at a particular time of the week or year, it might make financial sense to have it hosted in the cloud, rather than have dedicated hardware and software laying idle for much of the time. Moving to a cloud-hosted application for services like email or CRM could remove a burden on internal IT staff, and if such applications don't generate much competitive advantage, there will be little other impact. Moving to a services model also moves spending from capital expenditure (capex) to operational expenditure (opex), which may be useful for some companies.

• Business continuity is the ultimate killer application for cloud
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What are the advantages and disadvantages of cloud computing?

Cloud computing is not necessarily cheaper than other forms of computing, just as renting is not always cheaper than buying in the long term. If an application has a regular and predictable requirement for computing services it may be more economical to provide that service in-house.

Some companies may be reluctant to host sensitive data in a service that is also used by rivals. Moving to a SaaS application may also mean you are using the same applications as a rival, which might make it hard to create any competitive advantage if that application is core to your business.

While it may be easy to start using a new cloud application, migrating existing data or apps to the cloud might be much more complicated and expensive. And it seems there is now something of a  shortage in cloud skills , with staff with DevOps and multi-cloud monitoring and management knowledge in particularly short supply.

In one report, a significant proportion of experienced cloud users  said they thought upfront migration costs  ultimately outweigh the long-term savings created by IaaS.

And of course, you can only access your applications if you have an internet connection.

What is cloud-computing adoption doing to IT budgets?

Cloud computing tends to shift spending from capex to opex, as companies buy computing as a service rather than in the form of physical servers. This may allow companies to avoid large increases in IT spending which would traditionally be seen with new projects; using the cloud to make room in the budget might be easier than going to the CFO and looking for more money.

Of course, this doesn't mean that cloud computing is always or necessarily cheaper that keeping applications in-house; for applications with a predictable and stable demand for computing power, it might be cheaper (from a processing power point of view at least) to keep them in-house.

• Cloud computing spending is growing even faster than expected  

How do you build a business case for cloud computing?

To build a  business case for moving systems to the cloud , you first need to understand what your existing infrastructure actually costs. There's a lot to factor in: obvious things like the cost of running data centres, and extras such as leased lines. The cost of physical hardware – servers and details of specifications like CPUs, cores and RAM, plus the cost of storage. You'll also need to calculate the cost of applications, whether you plan to dump them, re-host them in the cloud unchanged, completely rebuilding them for the cloud, or buy an entirely new SaaS package. Each of these options will have different cost implications. The cloud business case also needs to include people costs (often second only to the infrastructure costs) and more nebulous concepts like the benefit of being able to provide new services faster. Any cloud business case should also factor in the potential downsides, including the risk of being locked into one vendor for your tech infrastructure (see multi-cloud, above).

• Cloud computing: How to build a business case
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Cloud-computing adoption

Analysts argue that as the cloud now underpins most new technological disruptions in everything from mobile banking to healthcare, usage is only going grow. It's hard to see many new technology projects being delivered that don't harness the cloud in some way. Gartner says that more than 85% of organizations will embrace a cloud-first principle by 2025 and will not be able to fully execute on their digital strategies without it. The analyst says new workloads deployed in a cloud-native environment will be pervasive, not just popular, and anything non-cloud will be considered legacy. By 2025, Gartner estimates that over 95% of new digital workloads will be deployed on cloud-native platforms, up from 30% in 2021.

And if that sounds unrealistic, it may be that figures on adoption of cloud depend on who you talk to inside an organisation. Not all cloud spending will be driven centrally by the CIO: cloud services are relatively easy to sign-up for, so business managers can start using them, and pay out of their own budget, without needing to inform the IT department. This can enable businesses to move faster, but also can create security risks if the use of apps is not managed.

Adoption will also vary by application: cloud-based email is much easier to adopt than a new finance system, for example. And for systems such as supply chain management, that are working efficiently as they are, there will be less short-term pressure to do a potentially costly and risky shift to the cloud.

What about cloud-computing security?

Many companies remain concerned about the security of cloud services, although breaches of security are rare. How secure you consider cloud computing to be will largely depend on how secure your existing systems are. In-house systems managed by a team with many other things to worry about are likely to be more leaky than systems monitored by a cloud provider's engineers dedicated to protecting that infrastructure.

However, concerns do remain about security, especially for companies moving their data between many cloud services, which has led to growth in  cloud security tools , which monitor data moving to and from the cloud and between cloud platforms. These tools can identify fraudulent use of data in the cloud, unauthorised downloads, and malware. There is a financial and performance impact, however: these tools can reduce the return on investment of the cloud by 5% to 10%, and impact performance by 5% to 15%. The country of origin of cloud services is also worrying some organisations (see ' Is geography irrelevant when it comes to cloud computing?'  below)

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What is public cloud?

Public cloud is the classic cloud-computing model, where users can access a large pool of computing power over the internet (whether that is IaaS, PaaS, or SaaS). One of the significant benefits here is the ability to rapidly scale a service. The cloud-computing suppliers have vast amounts of computing power, which they share out between a large number of customers – the 'multi-tenant' architecture. Their huge scale means they have enough spare capacity that they can easily cope if any particular customer needs more resources, which is why it is often used for less-sensitive applications that demand a varying amount of resources.

What is private cloud?

Private cloud allows organizations to benefit from some of the advantages of public cloud – but without the concerns about relinquishing control over data and services, because it is tucked away behind the corporate firewall. Companies can control exactly where their data is being held and can build the infrastructure in a way they want – largely for IaaS or PaaS projects – to give developers access to a pool of computing power that scales on-demand without putting security at risk. However, that additional security comes at a cost, as few companies will have the scale of AWS, Microsoft or Google, which means they will not be able to create the same economies of scale. Still, for companies that require additional security, private cloud might be a useful stepping stone, helping them to understand cloud services or rebuild internal applications for the cloud, before shifting them into the public cloud.

What is hybrid cloud?

Hybrid cloud is perhaps  where everyone is in reality: a bit of this, a bit of that. Some data in the public cloud, some projects in private cloud, multiple vendors and different levels of cloud usage. 

• Infographic: Companies are turning to hybrid cloud to save money
• What does 'hybrid cloud' mean? It depends on whom you ask
• Managing the multi-cloud: It's complicated

What are the cloud-computing migration costs?

For startups that plan to run all their systems in the cloud, getting started is pretty simple. But the majority of companies, it is not so simple: with existing applications and data, they need to work out which systems are best left running as they are, and which to start moving to cloud infrastructure. This is a potentially risky and expensive move, and migrating to the cloud could cost companies more if they underestimate the scale of such projects.

A survey of 500 businesses that  were early cloud adopters  found that the need to rewrite applications to optimise them for the cloud was one of the biggest costs, especially if the apps were complex or customised. A third of those surveyed cited high fees for passing data between systems as a challenge in moving their mission-critical applications. The skills required for migration are both difficult and expensive to find – and even when organisations could find the right people, they risked them being stolen away by cloud-computing vendors with deep pockets. 

Beyond this, the majority also remained worried about the performance of critical apps, and one in three cited this as a reason for not moving some critical applications.

• Cloud computing migration: More expensive and complicated than you thought
• Technology migrations are more painful, and cloud isn't making them any easier
• Where does the NAS fit in an increasingly cloud-centric world?

Is geography irrelevant when it comes to cloud computing?

Actually, it turns out that is where the cloud really does matter. Geopolitics is forcing significant changes on cloud-computing users and vendors. Firstly, there is the issue of latency: if the application is coming from a data centre on the other side of the planet, or on the other side of a congested network, then you might find it sluggish compared to a local connection. That's the latency problem.

Secondly, there is the issue of data sovereignty. Many companies, particularly in Europe, have to worry about where their data is being processed and stored. European companies are worried that, for example, if their customer data is being stored in data centres in the US or (owned by US companies), it could be accessed by US law enforcement. As a result, the big cloud vendors have been building out a regional data centre network so that organizations can keep their data in their own region.

Some have gone further, effectively detatching some of those datacenters from their main business to make it much harder for US authorities – and others – to demand access to the customer data stored there. The customer data in the data centres is under the control of an independent company, which acts as a "data trustee", and US parents cannot access data at the sites without the permission of customers or the data trustee. Expect to see cloud vendors opening more data centres around the world to cater to customers with requirements to keep data in specific locations.

Cloud security is another issue; the UK government's cyber security agency has warned that government agencies  need to consider the country of origin  when it comes to adding cloud services into their supply chains. While it was warning about antivirus software in particular, the issue is the same for other types of services too.

What is a cloud-computing region? And what is a cloud-computing availability zone?

Cloud-computing services are operated from giant datacenters around the world. AWS divides this up by  'regions' and 'availability zones' . Each AWS region is a separate geographic area, like EU (London) or US West (Oregon), which AWS then further subdivides into what it calls availability zones (AZs). An AZ is composed of one or more datacenters that are far enough apart that in theory a single disaster won't take both offline, but close enough together for business continuity applications that require rapid failover. Each AZ has multiple internet connections and power connections to multiple grids: AWS has over 80 AZs.

Google  uses a similar model , dividing its cloud-computing resources into regions that are then subdivided into zones, which include one or more datacenters from which customers can run their services. It currently over eight zones: Google recommends customers deploy applications across multiple zones and regions to help protect against unexpected failures.

Microsoft Azure  divides its resources slightly differently . It offers regions that it describes as is a "set of datacentres deployed within a latency-defined perimeter and connected through a dedicated regional low-latency network". It also offers 'geographies' typically containing two or more regions, that can be used by customers with specific data-residency and compliance needs "to keep their data and apps close". It also offers availability zones made up of one or more data centres equipped with independent power, cooling and networking.

Cloud computing and power usage

Those data centres are also sucking up a huge amount of power: for example, Microsoft struck a deal with GE to buy all of the output from its new 37-megawatt wind farm in Ireland for the next 15 years in order to power its cloud data centres. Ireland said it now expects data centres to account for  15% of total energy demand by 2026 , up from less than 2% back in 2015.

• Cloud computing: IBM overhauls access rules at Euro data centre
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Which are the big cloud-computing companies?

When it comes to IaaS and PaaS, there are really only a few giant cloud providers. Leading the way is Amazon Web Services, and then the following pack of Microsoft's Azure, Google, and IBM. According to data from Synergy Research, Amazon, Microsoft and Google continue to attract well over half of worldwide cloud spending, with Q3 market shares of 33%, 20% and 10% respectively. And with growth rates that are higher than the overall market, their share of worldwide revenues continues to grow. However, that still leaves plenty of revenue for the chasing pack of companies – about $17 billion. "Clearly there are challenges with the big three companies lurking in the background, so the name of the game is not competing with them head on,"  said the analyst .

AWS, Azure and Google Cloud – what's the difference?

The big three cloud companies all have their own strengths. AWS is the most established player and was behind Amazon's ability to support huge seasonal swings in demand from consumers. Being first out to market with cloud services and pushing hard to gain market share has made it the market leader, and it continues to innovate. Microsoft's Azure has become an absolutely core part of Microsoft's strategy, and the company has the enterprise history and products to support businesses as they switch to the cloud. Google Cloud is the smallest of the big three players, but clearly has the might of the advertising-to-Android giant behind it.

Who are the other main cloud-computing players?

Beyond the big three there are others, such as Alibaba Cloud, IBM, Dell and Hewlett Packard Enterprise, that all want to be part of the enterprise cloud project. And of course, from giants like Salesforce down to tiny startups, pretty much every software company is a SaaS company now.  

Can cloud computing go wrong?

There are and will continue to be cloud outages. Those outages might happen at a local level because your internet is disrupted either by physical means (a digger cuts your broadband) or because of cyberattacks. But the big vendors have outages too and because, we are all increasingly reliant on their services, when the cloud stops, work stops. Few companies have backup systems to turn to in this situation. So long as cloud vendors keep outages to a minimum, then users will probably consider that using the cloud is more reliable than home-grown apps. But if outages become widespread, that opinion might change.

What is the future of cloud computing?

Cloud computing is reaching the point where it is likely to account for more of enterprise tech spending than the traditional forms of delivering applications and services in-house that have been around for decades. However, use of the cloud is only likely to climb as organisations get more comfortable with the idea of their data being somewhere other than a server in the basement. And now cloud-computing vendors are increasingly pushing cloud computing as an agent of digital transformation instead of focusing simply on cost. Moving to the cloud can help companies rethink business processes and accelerate business change, goes the argument, by helping to break  down data any organisational silos . Some companies that need to boost momentum around their digital transformation programmes might find this argument appealing; others may find enthusiasm for the cloud waning as the costs of making the switch add up.

• Why you're still scared of the Cloud (it's not about security or reliability)
• Cloud computing switch as digital transformation takes priority
• Moving to the cloud? Some advice to consider

Cloud-computing case studies

There are plenty of examples of organisations deciding to go down the cloud-computing route: here are a few examples of recent announcements.

• What's the best way to make the most of the cloud?
• US Air Force plots IT overhaul, aims for cloud
• DuluxGroup paints a future of procurement in the cloud
• Marketo to migrate to Google Cloud as part of multi-year deal
• AWS infrastructure is now behind three main streaming media providers
• American Airlines to move consumer-facing apps to IBM Cloud, says Cloud Foundry key

Previous coverage

The Art of the Hybrid Cloud

Cloud computing is gobbling up more of the services that power businesses. But, some have privacy, security, and regulatory demands that preclude the public cloud. Here's how to find the right mix.

• Public cloud, private cloud, or hybrid cloud: What's the difference?

Trying to understand and articulate the differences between public, private, and hybrid cloud? Here's a quick breakdown.

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What Is Cloud Computing? 15 FAQ for Beginners

Start with the basics and work your way up to advanced cloud computing concepts with this FAQ-style guide.

What is cloud computing? (with example)

Cloud computing is the delivery of computer resources like data storage via the internet. One of the most common examples of cloud computing is Apple's iCloud. If you have an iPhone, you've likely backed up its contents to iCloud. In other words, you've connected your device to the internet to store and manage data across your Apple devices.

There are many types of cloud computing beyond this personal use case. The following article answers 15 frequently asked questions that can help you build a deeper understanding of each one. 

Cloud computing concepts

The following section outlines a few components you could consider the building blocks of cloud technology. You can think of these terms as the foundation on which you'll build your cloud computing expertise. 

What are computing resources?

The goal of cloud computing is to provide internet-based access to technology traditionally only accessible through physical servers. In the context of cloud technology, compute resources can be used to describe anything from databases to processing power to software applications. 

What is IT infrastructure?

Information technology (IT) infrastructure is what makes it possible for an organization to build and run the technologies that they rely on. It is a set of hardware, software, networks, and processes that support business requirements. The two primary types are traditional and cloud infrastructure. Traditional or on-premises infrastructure is made up of physical devices like servers and data centers. Cloud infrastructure enables users to access those resources via the internet (through a process called virtualization).

Read more: What is ITIL? A Beginner’s Guide to the ITIL Process

What is virtualization?

Virtualization refers to the creation of a virtual version of something. Through the use of specialized software, virtualization enables us to mimic hardware functionalities. One way to conceptualize virtualization is to think of it as software that's pretending to be hardware.   

Types of cloud computing

A notable benefit of cloud computing is customizability. Cloud infrastructure can be designed to support a business, individual, or organization's specific needs. You can learn about a few of the most common types of clouds in the following sections.  

What are public clouds?

Public clouds are offered to users through a third-party, such as Microsoft Azure or IBM Cloud. Public cloud services are not owned or run by their users. However, this doesn't mean that anyone can access them. Public cloud environments can be separated and distributed to multiple entities. iCloud is also a public cloud service.

What are private clouds?

Private cloud services are dedicated to an individual or a group of individuals. The environment operates behind that person or group's firewall, providing isolated access. You can build a private cloud on a third-party cloud provider's data center or on-premises. 

What are hybrid clouds?

Hybrid cloud computing is tricky to define because it varies from IT system to IT system. If applications can move through separate environments through connectivity or integration, the cloud environment can be considered hybrid. However, it must be managed as a single environment. Examples of a hybrid cloud system include one private cloud and one public cloud, two or more private clouds, or two or more public clouds. It can also include virtual environments that are connected to public or private clouds. 

Cloud computing software

Now that you know the fundamentals of cloud technology, you might be wondering how it all works. This next section elaborates on some of the core concepts we discussed previously.

What is a hypervisor in cloud computing?

A hypervisor is a thin layer of software that separates a system's operating system (OS) and resources from the physical machine. Hypervisors are sometimes referred to as virtual machine monitors (VMM) because they organize these separated resources into files called virtual machines.

Read more: What is a Hypervisor? Types, Use Cases, and Career Opportunities

What is a virtual machine in cloud computing?

A virtual machine is a file that replicates the computing environment of a physical machine. By imitating these environments, virtual machines enable us to perform computer system functions with software instead of hardware.

Read more: Introduction to Virtualization: What is a Virtual Machine?

What is a container?

Containers are similar in purpose to virtual machines. However, virtual machines virtualize more components of a physical device, including a version of its operating system (OS). Instead of creating a new, virtual version of the hardware's OS, containers share the same one. This frees up space and computational power for a smaller, faster, and more portable system.

Cloud computing services

Above, we covered some of the core concepts behind cloud technology. Next, we’ll answer some FAQs regarding cloud services and cloud service providers. 

What is SaaS in cloud computing?

SaaS stands for software as a service, and it refers to a cloud-based software delivery model. It's a cloud service that enables users to access on-demand software applications via the internet rather than having to install them. Examples of these cloud applications include DropBox and Google Workspace.

What is IaaS in cloud computing?

IaaS stands for infrastructure as a service, and it refers to cloud-based services that allow you to rent IT infrastructure components. Cloud vendors provide things like networks and cloud servers on a pay-as-you-go basis so that organizations don't need to purchase and maintain cloud infrastructure independently. It's similar to the way you might rent your router from your WiFi service provider instead of purchasing your own. Amazon Web Services (AWS) is an example of an IaaS cloud provider. 

Read more: What's the Difference Between AWS vs. Azure vs. Google Cloud?

What is PaaS in cloud computing?

PaaS stands for platform as a service. Similar to IaaS, cloud platforms provide organizations with access to application software and tools. However, PaaS focuses on providing application development tools rather than compute resources. This cost-effective cloud computing model enables businesses to utilize a development, testing, and deployment environment all through the internet. 

Read more: Intro to Cloud Computing: IaaS vs PaaS vs SaaS

What is FaaS (or serverless) cloud computing?

FaaS stands for function as a service. This serverless, back-end cloud computing model enables users to develop and deploy event-driven code. In other words, developers can write code to be executed in response to certain events without manual intervention. 

Benefits of cloud computing

This next section defines commonly used buzzwords surrounding the benefits of cloud computing technology. 

What is scalability in cloud computing?

Scalability is a measurement of a system's ability to increase or decrease IT resources as needed. It’s often regarded as one of the most significant benefits of cloud computing. Especially in enterprise-level businesses, cloud infrastructure must be able to accommodate fluctuating demands. For example, if a company expands, more employees are likely to be accessing its cloud technology. Despite handling more users, the system should not suffer from performance issues. 

What is elasticity in cloud computing?

In cloud computing, elasticity refers to an IT system's ability to match the resources administered to the resources required. It's often used in pay-as-you-go cloud services such as IaaS models because it helps ensure the customer only pays for the resources that are actually required at a given time. Although it's very similar to scalability, scalability focuses more on removing or adding resources based on demands. Elasticity can be part of a scalability plan. 

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Postgraduate Personal Statement Example: Computer Science

Reading examples of personal statements can be valuable when applying to a university or college course. 

After all, personal statement examples can teach you how to write and structure your application, and you can quickly learn how to write a personal statement by examining others.

But with so many university personal statement examples available, how do you know if you’re reading a good one?

Postgraduate personal statements should highlight relevant academic and practical experience, research skills and ambitions and their suitability for the course. This postgraduate personal statement example for Computer Science clearly illustrates these three critical elements.

I’ve broken down this personal statement example section by section, with a commentary on each element. 

That way, you’ll see its strengths and weaknesses and get some inspiration for your own personal statement .

Once you’ve read the personal statement example and analysis, you’ll be able to download a pdf of the whole document, to use as inspiration for your own!

Personal Statement Example: Introduction

“An open-day event at the Parkland Branch of LJA heightened my perception of the value and impact of computer technology on Slater Accounting Firm, LJA capitalised on digital accounts and a bespoke online system to finalise their auditing. This approach demonstrated higher efficiency and lower error rates than traditional paper-based processes. Having witnessed the growing trend of audit automation, my next internship at the Buckley Construction Bank allowed me to interact with AI Middle Office and gave me a first-hand opportunity to understand artificial intelligence’s integration into the banking industry. Given AI Middle Office’s facilitation of financial product innovation and cost reduction, I now recognise the need to deepen my understanding of mathematics, especially probability theory. This realisation piqued my interest in the connections between computer science and finance application development, inspiring me to design financial software which enhances staff and customer productivity. These experiences have combined to motivate my application for this MSc in Computer Science (Conversion).

Globalisation increasingly requires professionals across a range of industries to develop a basic understanding of the discipline of computer science, and I am increasingly aware of my need to build a portfolio of technical skills in this arena. For instance, analysing a large number of stocks is more likely to be undertaken in R or Python, and the more one knows about relevant software packages, the more successful one is likely to be in developing effective investment apps or bots. Ultimately, I am committed to using coding to improve efficiency and optimise my time, allowing me to undertake further profitable and creative endeavours.” 

Commentary and Analysis 

The writer has skillfully woven a balance of elements together in this introduction. By using a range of technical and experiential examples, they show a depth of knowledge and understanding of the sector in which they are pursuing a career. This clearly indicates a connection and understanding of the field and a highly capable skill level. It also shows that they have first-hand experience in the sector, makes the connection with skills that are directly relevant to their postgraduate course and illustrates their suitability as a candidate well.

The second paragraph summarises the industry and focus area that the writer is interested in and shows self-knowledge in terms of current weaknesses or deficiencies in knowledge. This is particularly relevant as it is written in such as way as to make the writer’s interest in the course and the relevancy to their carer plan extremely clear.

When admissions readers can see the link between what the course offers and what a suitably qualified candidate requires, they are far more likely to make an offer.

If you’re struggling with your personal statement introduction, check out my article on how to write perfect opening paragraphs here .

Personal Statement Example: Academic Background

“My undergraduate studies have allowed me to acquire a wealth of calculus, statistics and data science knowledge, giving me a solid foundation for studying machine learning and algorithmic solutions. I have also accumulated a comprehensive understanding of the development and application of software engineering through the practice of quantitative analysis. In the Information Systems for Accountants module, I significantly improved my programming skills, progressing from writing a mini-game via PyGame to a stock crawler’s web version based on HTML, CSS and JavaScript before finally constructing a framework with Django. 

These accomplishments have encouraged my constant exploration of programming and software development and thoroughly prepared me for the challenges of graduate study. To update my understanding of the real-world application of computer science, I participated in a software development project focusing on intelligent analysis, evaluation and employee validation led by Professor Marks at the Western University of Mining and Technology. I created a knowledge base that recognised numerous work roles and responsibilities. As an independent learner, I gained an increased understanding of machine learning, algorithmic optimisation and evaluative methodologies during this process. Furthermore, processing significant volumes of data via Access and Excel throughout this project strengthened my database creation capabilities.” 

Commentary and Analysis

The first paragraph above makes an excellent reference to the range of skills and knowledge the writer possesses. It isn’t always made explicitly relevant to the course, and it would be more effective to make some direct links with exactly how this would be of value to this postgraduate qualification, but the connections are implicit and impressive.

The writer then goes on to further emphasise their suitability for the course by including essential references to research and independent learning. By mentioning a specific study and supervisor, the personal statement is given some depth and detail, and the aspects discussed show a depth and range of knowledge applicable to the course. The writer also talks about the value of what was studied – the benefit of what they’ve learned – in addition to the objective skills developed.

If I were to be critical, it’s worth mentioning that this reads a little like a list, and just doesn’t explicitly justify why these skills and experiences make them a suitable candidate. 

If you’d like to learn more about how to structure your personal statement or statement of purpose , check out my awesome Personal Statement Template eBook here . It’s full of detailed examples of what to include!

Personal Statement Example: Practical Experience 1

“Benefiting from my programming and data processing experience, I gained industry experience in real estate valuation during my internship at the Maxim Real Estate Development Co. I carried out initial modelling using Excel, but adding an increasingly complex array of formulas made the process inefficient and cumbersome. To overcome this obstacle, I created a model in Python, which allowed me to complete the valuation by inputting code directly into the model, streamlining my process. I have cultivated my automation mindset by writing a script to deliver charts and tables to fixed positions when creating PowerPoint slides and automatically managing quarterly financial statements. These challenges improved my computing competence and prompted me to reflect on the advantages of utilising coding and programming in the financial industry. Importantly, I realised that expertise in computer science improves efficiency across an array of diverse disciplines, furthering my determination to study Computer Science at graduate level and develop my professional versatility and employability as a result.” 

A relatively descriptive and straightforward paragraph, but positive and relevant in content. It’s critical to discuss relevant employment or internship experiences and to identify relevant skills gained, which this writer does well.

They mention a good range of skills, both technical and transferable, and show a positive approach to the application of knowledge in real-world settings, which is important in a postgraduate statement.

The writer illustrates how they overcame challenges, and this is a valuable technique as it shows they have dynamic and problem-solving skills. It also provides evidence of success within a relevant activity, encouraging the reader to view the applicant in a positive light. 

The final section links the applicant’s experience with the motivation for further study and professional ambitions, which allows the reader to see the application as one element in a strategic journey. This gives them the confidence that the applicant has made the right decision in their application and makes it more likely that the reader will make an offer, as they can see the logical progression from the past through the present and into the future.

Check out lots more examples of personal statements here , and see how they can inspire your application!

Personal Statement Example: Connection To The Course

“I envision contributing to a revolutionary internet-enabled society in which each element is connected to a highly intelligent cloud. The enriched research outputs and top-rated teaching quality of Computer Science at Marshall University will help me achieve my personal and professional ambitions. I look forward to engaging in the Introduction to Computer Science course, which will provide me with interdisciplinary insights into computer science in business and facilitate my exploration of the future possibilities and challenges enabled by the development of technology in the broader economic context. With the business knowledge from my past studies, I will take a step further toward my career goals by combining business and computer development in this course. In addition, courses such as Programming in C and Object-Oriented Programming with Java will enable me to refine my programming techniques.” 

Commentary and Analysis: 

The writer makes a bold, relevant and realistic claim here in terms of their ambitions. What makes this effective is that they have also linked this ambition very clearly to the course they are applying for.

They then evidence that they have a sound understanding of the course they are applying for, which is a critically important aspect of any postgraduate application. When the reader sees that the applicant has a thorough understanding of the course and that their ambitions connect precisely with the modules on offer.

The one thing that all successful personal statements have in common is that they are concise, engaging and accurate in spelling, punctuation and grammar. Consequently, I always recommend Grammarly to my students and clients. 

It’s an outstanding tool for ensuring your personal statement is rich with detail whilst hitting those all-important word limits. Check out the free version of Grammarly here , or hit the banner for more information.

Personal Statement Example: Conclusion

“Gaining a full-scale software development skillset and a comprehensive understanding of computer applications relating to accounting and banking industries in this MSc programme is an ideal next step for me. My advanced knowledge of mathematics will facilitate my implementation of a standard set of algorithms and allow me to develop a high-performance application that combines my knowledge of business and computing in original and profitable ways. Ultimately, I aim to apply the knowledge gained from my graduate studies within the sphere of financial software innovation, improving efficiency and customer experience. I am confident that my experience and background will allow me to meet the challenges of Marshall’s programme and maximise the potential of my master’s studies. I look forward to playing a positive role as an engaged member of your faculty.” 

The writer eloquently outlines their motivations for further study, in a way that shows an increasingly comprehensive understanding of the skills and experiences they need to develop. They also confidently outline their abilities and illustrate convincingly that they are a suitable candidate. This is sometimes lacking in personal statements, as applicants find it hard to write about themselves confidently without sounding boastful. It’s critical that you do this, however, as by outlining your relevant achievements in a clear and objective way, you add to your suitability.

The writer then outlines a personal connection with the course and mentions the value that they would bring to the faculty. This is important, as universities are looking for students who bring individuality, purpose and value to their organisation. 

This is a strong personal statement that outlines skills and experiences in a relevant way. I would suggest that there could be more technical content and greater evidence of academic research to add to their suitability as a postgraduate student.

For more great advice, check out my article on writing an excellent final personal statement paragraph here .

Click here or on the banner below to get your free download of this complete personal statement example . 

Whether you’re looking for personal mission statement examples or an example of personal purpose statement, I hope this personal statement example has been helpful. Above all, I wish you every success in your academic career. 

If you’d like to work with me to develop your personal statement 1:1 and write a powerful mission statement, I’d be delighted to hear from you. 

Find out about my personal statement support services by clicking here or on the image below.

Research and content verified by Personal Statement Planet .

David Hallen

I've worked in the Further Education and University Admissions sector for nearly 20 years as a teacher, department head, Head of Sixth Form, UCAS Admissions Advisor, UK Centre Lead and freelance personal statement advisor, editor and writer. And now I'm here for you...

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What is Cloud Computing?

Understanding the types of cloud computing resources can be time-consuming and costly. Enterprises need to buy physical servers and other infrastructure through procurement processes that can take months, and support the architecture of cloud computing. The acquired systems require a physical space, typically a specialized room with sufficient power and cooling. After configuring and deploying the systems, enterprises need expert personnel to manage them.

This long process is difficult to scale when demand spikes or business expands. Enterprises can acquire more computing resources than needed, ending up with low utilization numbers.

Cloud computing addresses these issues by offering computing resources as scalable, on-demand services. Learn more about Google Cloud , a suite of cloud computing service models offered by Google.

Cloud computing defined

Cloud computing is the on-demand availability of computing resources (such as storage and infrastructure), as services over the internet. It eliminates the need for individuals and businesses to self-manage physical resources themselves, and only pay for what they use.

The main cloud computing service models include infrastructure as a service offers compute and storage services, platform as a service offers a develop-and-deploy environment to build cloud apps, and software as a service delivers apps as services.

Understanding how cloud computing works

Cloud computing service models are based on the concept of sharing on-demand computing resources, software, and information over the internet. Companies or individuals pay to access a virtual pool of shared resources, including compute, storage, and networking services, which are located on remote servers that are owned and managed by service providers. 

One of the many advantages of cloud computing is that you only pay for what you use. This allows organizations to scale faster and more efficiently without the burden of having to buy and maintain their own physical data centers and servers.  

In simpler terms, cloud computing uses a network (most often, the internet) to connect users to a cloud platform where they request and access rented computing services. A central server handles all the communication between client devices and servers to facilitate the exchange of data. Security and privacy features are common components to keep this information secure and safe.  

When adopting cloud computing architecture, there is no one-size-fits-all. What works for another company may not suit you and your business needs. In fact, this flexibility and versatility is one of the hallmarks of cloud, allowing enterprises to quickly adapt to changing markets or metrics.

There are three different cloud computing deployment models: public cloud, private cloud, and hybrid cloud.

Types of cloud computing deployment models

Public cloud.

Public clouds are run by third-party cloud service providers. They offer compute, storage, and network resources over the internet, enabling companies to access shared on-demand resources based on their unique requirements and business goals.

Private cloud

Private clouds are built, managed, and owned by a single organization and privately hosted in their own data centers, commonly known as “on-premises” or “on-prem.” They provide greater control, security, and management of data while still enabling internal users to benefit from a shared pool of compute, storage, and network resources.

Hybrid cloud

Hybrid clouds combine public and private cloud models, allowing companies to leverage public cloud services and maintain the security and compliance capabilities commonly found in private cloud architectures.

What are the types of cloud computing services?

There are three main types of cloud computing service models that you can select based on the level of control, flexibility, and management your business needs: 

Infrastructure as a service (IaaS)

Infrastructure as a service (IaaS) offers on-demand access to IT infrastructure services, including compute, storage, networking, and virtualization. It provides the highest level of control over your IT resources and most closely resembles traditional on-premises IT resources.

Platform as a service (PaaS)

Platform as a service (PaaS) offers all the hardware and software resources needed for cloud application development. With PaaS, companies can focus fully on application development without the burden of managing and maintaining the underlying infrastructure.

Software as a service (SaaS)

Software as a service (SaaS) delivers a full application stack as a service, from underlying infrastructure to maintenance and updates to the app software itself. A SaaS solution is often an end-user application, where both the service and the infrastructure is managed and maintained by the cloud service provider.

What are the benefits of cloud computing?

It’s flexible.

Due to the architecture of cloud computing, enterprises and their users can access cloud services from anywhere with an internet connection, scaling services up or down as needed.

It’s efficient

Enterprises can develop new applications and rapidly get them into production—without worrying about the underlying infrastructure.

It offers strategic value

Because cloud providers stay on top of the latest innovations and offer them as services to customers, enterprises can get more competitive advantages—and a higher return on investment—than if they’d invested in soon-to-be obsolete technologies.

It’s secure

Enterprises often ask, What are the security risks of cloud computing? They are considered relatively low. Cloud computing security is generally recognized as stronger than that in enterprise data centers, because of the depth and breadth of the security mechanisms cloud providers put into place. Plus, cloud providers’ security teams are known as top experts in the field.

It’s cost-effective

Whatever cloud computing service model is used, enterprises only pay for the computing resources they use. They don’t need to overbuild data center capacity to handle unexpected spikes in demand or business growth, and they can deploy IT staff to work on more strategic initiatives.

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How cloud computing can help your organization.

The pace of innovation—and the need for advanced computing to accelerate this growth—makes cloud computing a viable option to advance research and speed up new product development. Cloud computing can give enterprises access to scalable resources and the latest technologies without needing to worry about capital expenditures or limited fixed infrastructure. What is the future of cloud computing? It’s expected to become the dominant enterprise IT environment.

If your organization experiences any of the following, you’re probably a good candidate for cloud computing:

• High business growth that outpaces infrastructure capabilities
• Low utilization of existing infrastructure resources
• Large volumes of data that are overwhelming your on-premises data storage resources
• Slow response times with on-premises infrastructure
• Delayed product development cycles due to infrastructure constraints
• Cash flow challenges due to high computing infrastructure expenses
• Highly mobile or distributed user population

These scenarios require more than traditional data centers can provide.

Infrastructure scaling

Many organizations, including those in retail, have wildly varying needs for compute capacity. Cloud computing easily accommodates these fluctuations.  

Disaster recovery

Rather than building more data centers to ensure continuity during disasters, businesses use cloud computing to safely back up their digital assets.

Data storage

Cloud computing helps overloaded data centers by storing large volumes of data, making it more accessible, easing analysis, and making backup easier.

Application development

Cloud computing offers enterprise developers quick access to tools and platforms for building and testing applications, speeding up time to market.

Big data analytics

Cloud computing offers almost unlimited resources to process large volumes of data to speed research and reduce time to insights.

Related products and services

Google Cloud is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for their own consumer products, such as Google Search, Gmail, and YouTube.

The list of available Google Cloud services is long—and it keeps growing. When developing applications or running workloads on Google Cloud, enterprises can mix and match these services into combinations that provide the infrastructure they need.

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Information Technology Personal Statements Samples For Students

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No matter how high you rate your writing skills, it's always an appropriate idea to check out an expertly written Personal Statement example, especially when you're dealing with a sophisticated Information Technology topic. This is precisely the case when WowEssays.com database of sample Personal Statements on Information Technology will come in useful. Whether you need to come up with an original and meaningful Information Technology Personal Statement topic or survey the paper's structure or formatting peculiarities, our samples will provide you with the necessary material.

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Example Of Personal Statement On Cloud Computing

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8 Cloud Engineer Resume Examples - Here's What Works In 2024

Cloud engineering is a lucrative and trending career in the computer science industry. cloud engineers are responsible for building and maintaining cloud services. these days most companies have joined the cloud infrastructure due to its convenient and safe way to store data. this has made cloud engineering highly in demand and, therefore, lucrative. in this guide, we’ll show you some cloud engineer resume examples so you can develop your own. you’ll also see helpful recommendations that you can use to enhance your resume performance..

A cloud engineer is responsible for building, designing, and maintaining cloud databases. Their role can be divided into three specialties: cloud design, development, and administration. You should have skills such as programming, data security, and storage. It’s also important to have some knowledge of different operating systems and cloud platforms.

Some of the most common cloud platforms are: 

• Microsoft Azure
• Amazon Web Services
• Google Cloud

These days we all use cloud services in our daily life, whether you’re using an email service, backing up the pictures on your phone, or streaming services like Netflix. A cloud is essentially a public or private source to store data. 

In the past, companies used to have their own servers on-site. However, they weren’t very safe or convenient. Some of the major problems with on-site servers are that they consume a lot of electricity and have a high risk of facing technical issues, which often lead to companies losing all their data.

That’s why cloud services became so popular. They are a great alternative to in-house servers because they provide more reliability and accessibility. Users can access data regardless of their location.

Cloud Engineer Resume Templates

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Get advice on each section of your resume:

Template 1 of 8: Cloud Engineer Resume Example

A cloud engineer is someone who builds cloud infrastructure, troubleshoots it, and updates it. He must deeply understand cloud platforms such as Google Cloud, AWS, and Microsoft Azure. Considering you’ll also be developing the cloud, you should also be familiar with programming languages like Python, Java, or Ruby. Yet, a cloud engineer’s role will also depend on their company’s needs. For example, some cloud engineers work on the architectural side of the development process. This means they will assess their stakeholders' needs and design the best infrastructure for them. Other clients might ask you to help them migrate from an on-site server to a cloud, or you may also focus on monitoring data management to ensure cloud security. Other specialists install and configure networks, etc. Depending on your clients' demands, you can also do a little bit of everything.

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Tips to help you write your Cloud Engineer resume in 2024

   include all the cloud platforms that you use..

Understanding different cloud platforms will give you a wider spectrum of job opportunities, so if you’re familiar with more than one platform, you should mention it. Some platforms are similar, so getting familiar with them shouldn’t be too challenging once you have some basic cloud computing skills.

   Describe challenges you faced as a cloud engineer and how you overcame them.

When explaining your challenges and how you were able to face them, you will demonstrate your problem-solving skills, which are crucial for a cloud engineer. Sometimes you will find complex issues in the cloud infrastructure, and you should be able to find innovative solutions. That’s why mentioning these situations, and their solutions is helpful for your cloud engineer resume.

Skills you can include on your Cloud Engineer resume

Template 2 of 8: aws cloud engineer resume example.

An AWS cloud engineer is responsible for developing applications in the Amazon Web Services infrastructure. They must also debug, test, and maintain these applications. As an AWS cloud engineer, you must have certain skills, including Java, Python, and C# programming, networking, data management, data storage, knowledge of security protocols, etc. To become an AWS cloud engineer, you should have a bachelor’s degree in a Computer Science-related field. However, some companies don’t have this requirement, as long as you demonstrate your cloud management skills in the AWS platform.

Tips to help you write your AWS Cloud Engineer resume in 2024

   mention some of the programming languages you’re proficient at..

As we mentioned earlier, AWS cloud engineers are expected to be proficient in certain programming languages. That’s why it is crucial to mention them in your resume.

   Include some of your recent and most outstanding cloud projects.

Showcasing your projects is a great way to demonstrate your skills, especially if you don’t have so much experience in the field.

Skills you can include on your AWS Cloud Engineer resume

Template 3 of 8: cloud support engineer resume example.

Cloud support engineers’ role involves the development and improvement of cloud solutions. They work on maintaining current clouds and provide support when needed. They must evaluate the cloud system to ensure its works in optimal conditions. If they ever encounter a technical issue in the platform, they must troubleshoot it. Cloud support engineers assist the internal IT team working on the cloud and external clients. Therefore, they must be familiar with different competencies, including programming language, networking, data management, hardware, and software support. Some cloud support engineers are also hired for data recovery.

Tips to help you write your Cloud Support Engineer resume in 2024

   show proof of your experience with technical support..

As a cloud support specialist, you will work with multiple technical issues. In your resume, you should explain some of your experience and demonstrate how you came up with effective solutions.

   Mention the teams that you worked with on other projects.

The ideal cloud support specialist has team work skills because they will work with internal and external stakeholders. That’s why it’s important to show the past teams you’ve worked with. This will demonstrate your communication, coordination, and teamworking skills.

Skills you can include on your Cloud Support Engineer resume

Template 4 of 8: cloud network engineer resume example.

A cloud network engineer is in charge of maintaining and configuring networks in cloud services. Networks are usually associated with in-house resources. However, there are some of them that can be hosted on a cloud system. This means that companies can have a hybrid model to handle networks remotely and in-house. Some of the networks that can be handled on a cloud are: -The bandwidth -Load balancers -Firewalls -Connectivity -Content delivery networks (CDNs) -Virtual private network (VPN) -Domain name system (DNS) -Virtual routers -Network management software

Tips to help you write your Cloud Network Engineer resume in 2024

   include cloud networking-related keywords..

When writing your cloud network engineer resume, you must focus on keywords related to that field. This will make you look specialized and help you get past ATS (Applicant Tracking Systems), which most employers use these days to scan candidates’ resumes.

   Show your accomplishments with cloud infrastructure with metrics.

This is a really important factor that can help you boost your resume. Your cloud network engineer resume can include metrics such as how you reduced the network's downtime, how your services improve data security, etc.

Skills you can include on your Cloud Network Engineer resume

Template 5 of 8: cloud devops engineer resume example.

A DevOps engineer is an IT specialist that speeds up the software development process by improving the communication between the development and operations teams. A cloud DevOps engineer has the same role on the cloud infrastructure. They can work in the entire lifecycle of developing a cloud platform or provide support to existing ones. They must be familiar with practices such as debugging, cloud testing, delivering pipelines, monitoring teams, data management, etc. Their purpose is to provide more reliability to the cloud by enhancing development operations.

Tips to help you write your Cloud DevOps Engineer resume in 2024

   demonstrate your impact on the company’s it operations..

Try to be specific about your impact on the company’s cloud operations. It is a great idea to demonstrate how you could speed up the development process, how you helped the cloud be more reliable, or how you improved the communications in the IT and operations departments.

   Showcase your ability to manage remote teams.

DevOps engineers often work remotely, so it’s important to feel comfortable in an online environment. You should mention your ability to work remotely throughout the entire lifecycle of the cloud products and how you were able to communicate with teams despite your distance.

Skills you can include on your Cloud DevOps Engineer resume

Template 6 of 8: azure cloud engineer resume example.

As an Azure Cloud Engineer, you'll play a crucial role in designing, implementing, and maintaining cloud-based solutions using Microsoft Azure. It's essential to stay updated on the ever-evolving cloud technology landscape and be knowledgeable about the latest trends in cloud architecture, automation, and security. When crafting your resume, make sure to showcase your Azure-specific expertise and certifications, as well as your ability to collaborate with cross-functional teams to deliver cloud solutions in line with business requirements. In recent years, companies have increasingly turned to Azure for their cloud infrastructure needs, making the demand for skilled Azure Cloud Engineers soar. Your resume should reflect your adaptability and proficiency in this competitive market by highlighting your experience with various Azure Services, IaaS, PaaS, and SaaS solutions, and your commitment to staying current with Azure updates and best practices.

Tips to help you write your Azure Cloud Engineer resume in 2024

   emphasize certified azure skills.

As an Azure Cloud Engineer applicant, make it a point to highlight your Microsoft Azure certifications, such as the Azure Administrator Associate or Azure Solutions Architect Expert, as these are essential in demonstrating your expertise and commitment to the field.

   Showcase Azure-specific projects

Detail relevant, Azure-specific projects you've worked on in your resume to showcase your hands-on experience with various Azure Services, such as Azure Virtual Machines, Storage, App Service, and Active Directory, as well as your knowledge of implementing and managing cloud solutions.

Skills you can include on your Azure Cloud Engineer resume

Template 7 of 8: azure cloud engineer resume example.

An Azure cloud engineer analyzes a company’s IT infrastructure, creates strategies to migrate the structure to the cloud, and oversees the migration. Afterward, you will maintain the system and address any problems that may arise. You must be an expert in Microsoft Azure and will be expected to have experience managing the cloud systems of companies. Strong communication skills are also essential for this position as you will be assisting and communicating with people across departments. Take a look at this recruiter-approved resume sample.

   Clearly list any Microsoft Azure qualifications.

The most important requirement for this job is that you be an Azure expert. It is therefore important to clearly list any Azure-specific skills and/or certifications. It is common for companies to filter out all resumes that do not have specific Azure skills and certifications listed using ATS filters.

   Address the different functions of your role in your experience and skills section.

As mentioned above, this position requires you to do multiple tasks including analyzing IT infrastructure, migrating companies to the cloud, and solving any issues that may arise with the new system. Make sure your resume shows your experience in all the main cloud engineer functions. Your skills list should also address a wide range of functions.

Template 8 of 8: GCP Cloud Engineer Resume Example

A GCP (Google Cloud Platform) Cloud Engineer is in charge of making sure the cloud works efficiently for a company. You may be tasked with setting up the cloud, migrating a company’s infrastructure to the cloud, training personnel on how to use the cloud, solving any problems that may arise, etc. The most important requirement for this position is expertise in GCP. Recruiters will be looking for qualifications or certifications to prove your knowledge of GCP so make sure they take center stage in your resume. A strong general IT background is also a must. Here is a strong resume sample for inspiration.

Tips to help you write your GCP Cloud Engineer resume in 2024

   list your expertise in the old it system a company had..

Migrating to the cloud can come with some complications. Companies would highly prefer for an applicant to have expertise in GCP and also the system they migrated from. This would make solving migration problems a lot easier. Research to find out what system the company used previously and list that system in your skills section.

   Focus on GCP cloud engineer keywords only.

This resume is tailored to the GCP cloud engineer job that this candidate is applying for and mentions the job title at the top of the resume to get past ATS. They use specific keywords relevant to the industry, like ‘python’, ‘software’, and ‘laaS-based solutions’. You should too.

Skills you can include on your GCP Cloud Engineer resume

We spoke with hiring managers at top cloud computing companies like Amazon Web Services, Microsoft Azure, and Google Cloud to gather their best tips for creating a winning cloud engineer resume. By following their expert advice and studying the examples below, you'll be well on your way to landing your dream job in this exciting and growing field.

   Highlight your cloud certifications

Hiring managers love to see relevant cloud certifications on your resume. Be sure to list them prominently, along with the year you earned them. Some examples:

• AWS Certified Solutions Architect - Associate (2022)
• Microsoft Certified: Azure Fundamentals (2021)
• Google Cloud Certified - Professional Cloud Architect (2023)

If you don't have any certifications yet, consider working towards one. Many cloud providers offer free or low-cost training resources to help you prepare.

   Show your experience with specific cloud technologies

When listing your work experience, don't just say that you "worked with cloud technologies." Instead, be specific about which ones you used and how. Hiring managers want to see examples like:

• Migrated on-premises MySQL database to Amazon RDS, reducing costs by 30%
• Implemented CI/CD pipeline using Azure DevOps, decreasing deployment time from 2 days to 2 hours
• Designed and deployed a highly available web application on Google Cloud Platform using Kubernetes and Cloud Load Balancing

The more specific you can be about your experience, the better. Quantify your achievements whenever possible, and use strong action verbs to describe what you did.

   Include relevant personal projects

If you're new to the field or don't have much professional experience yet, personal projects can be a great way to showcase your skills and passion for cloud computing. When listing projects on your resume, focus on ones that are:

• Relevant to the job you're applying for
• Impressive in scope or complexity
• Demonstrate your ability to learn and apply new technologies

For example:

• Built a serverless web application using AWS Lambda, API Gateway, and DynamoDB
• Created a machine learning pipeline on Google Cloud Platform using Cloud Dataflow and Cloud ML Engine

   Tailor your resume to the job description

One of the biggest mistakes job seekers make is using the same generic resume for every application. Instead, take the time to customize your resume for each job you apply to. Here's how:

• Read the job description carefully and note the key skills and experience they're looking for
• Make sure your resume highlights your relevant qualifications and uses similar language to the job posting
• If you're applying for a job that uses a specific cloud platform (e.g. AWS), focus on your experience with that platform

For example, if a job posting mentions "experience with infrastructure as code" as a requirement, your resume might say something like:

• Used Terraform to automate infrastructure provisioning on AWS, reducing deployment time by 50%

   Use a clear and professional format

While the content of your resume is important, don't forget about the format. A cluttered or unprofessional-looking resume can turn off hiring managers before they even read a word. Follow these tips for a clean, readable resume:

• Use a simple, easy-to-read font like Arial or Calibri
• Keep your resume to one or two pages at most
• Use bullet points and short paragraphs rather than long blocks of text
• Make sure there are no typos or grammatical errors

Here's an example of a well-formatted resume summary:

Cloud Engineer with 5+ years of experience designing and implementing scalable, highly available cloud solutions on AWS and Azure. Expertise in infrastructure as code, CI/CD, and cloud migration. Certified AWS Solutions Architect - Professional.

   Quantify your impact

Whenever possible, use numbers and metrics to show the impact of your work. Hiring managers love to see concrete examples of how you've helped your previous employers save money, improve efficiency, or solve problems. For example:

• Worked on a cloud migration project
• Helped improve application performance

Instead, try something like:

• Migrated 50+ applications from on-premises data center to AWS, reducing infrastructure costs by $500k per year
• Optimized application performance on Azure, increasing page load speed by 40% and user engagement by 25%

By quantifying your achievements, you'll make your resume stand out and show hiring managers exactly what you can bring to their team.

Writing Your Cloud Engineer Resume: Section By Section

  header, 1. include your name, email, phone number, and location.

Your header should contain all the essential contact information that employers need to reach out to you. Be sure to include:

• Your full name
• Professional email address
• Phone number
• City and state of residence

Keep your email address professional, using a combination of your name and initials. Avoid outdated email providers or unprofessional handles. For example:

• [email protected]

2. Use a clean, readable format

Stick to a simple, professional format for your header. Use a clear, legible font like Arial or Calibri, and keep the font size between 14-16 points for your name and 10-12 points for your contact details.

Arrange your header elements in a clean layout, such as:

John Doe [email protected] | 555-123-4567 | Seattle, WA

Avoid cluttered or overly designed headers like:

JANE SMITH Cloud Engineer [email protected] • 555-987-6543 • New York, NY

3. Optionally include relevant links

If you have a professional online presence relevant to your cloud engineering career, consider adding links to your header. This could include:

• LinkedIn profile
• GitHub repository
• Personal website or portfolio
• Relevant certifications or badges

Be strategic and only include links that enhance your professional brand and showcase your skills. Avoid linking to personal social media accounts or outdated websites.

When including links, keep them concise and easy to read, such as:

• linkedin.com/in/johndoe
• github.com/janesmith

  Summary

A resume summary for a Cloud Engineer role is optional, but it can be a great way to provide additional context about your experience and skills that may not be immediately apparent from the rest of your resume. This is especially useful if you are making a career change or have a lot of experience to summarize. However, avoid using an objective statement, as it is outdated and not very effective.

When writing your summary, focus on highlighting your most relevant qualifications, skills, and achievements that align with the Cloud Engineer role. Use specific metrics and examples to showcase your impact and avoid duplicating information that is already covered in other sections of your resume. Keep your summary concise, typically no more than a paragraph or a few bullet points.

To learn how to write an effective resume summary for your Cloud Engineer resume, or figure out if you need one, please read Cloud Engineer Resume Summary Examples , or Cloud Engineer Resume Objective Examples .

1. Highlight your cloud platform expertise

Emphasize your proficiency in the specific cloud platforms that are most relevant to the Cloud Engineer role you are targeting. For example:

• Experienced Cloud Engineer with expertise in AWS, including EC2, S3, and Lambda
• Proficient in Microsoft Azure, with a focus on Azure Functions, Cosmos DB, and Azure Kubernetes Service

Avoid making vague statements or listing platforms without context, such as:

• Familiar with various cloud platforms
• Knowledge of AWS, Azure, and GCP

2. Showcase your technical skills and certifications

In addition to cloud platform expertise, highlight other technical skills and certifications that are valuable for a Cloud Engineer. For example:

AWS Certified Solutions Architect with 5+ years of experience designing and implementing scalable cloud solutions. Skilled in Python, Java, and DevOps tools such as Ansible and Terraform.

Avoid simply listing skills without context or mentioning outdated or irrelevant certifications.

3. Tailor your summary to the job description

Customize your summary to align with the specific requirements and preferences outlined in the Cloud Engineer job description. For example, if the job emphasizes experience with serverless architectures, you might write:

• Cloud Engineer specializing in serverless architectures, with experience building and deploying functions using AWS Lambda and API Gateway

Avoid using a generic summary that could apply to any Cloud Engineer role, as it may not effectively capture the hiring manager's attention.

  Experience

When writing the work experience section of your resume for a cloud engineer role, you want to focus on showcasing your technical expertise, problem-solving skills, and the impact you've made in previous roles. Hiring managers are looking for candidates who have a strong understanding of cloud technologies and can effectively communicate their experience.

In this section, we'll provide you with tips and examples to help you craft a compelling work experience section that will catch the attention of potential employers.

1. Highlight your technical skills and cloud expertise

As a cloud engineer, your technical skills are your greatest asset. Make sure to showcase your expertise in the specific cloud technologies and tools that are relevant to the job you're applying for.

• Designed and implemented a highly available and scalable AWS infrastructure using EC2, S3, and RDS, resulting in a 99.99% uptime for the company's e-commerce platform
• Developed and maintained CI/CD pipelines using Azure DevOps, enabling the team to deploy new features and bug fixes to production 50% faster
• Migrated the company's on-premises infrastructure to Google Cloud Platform, reducing infrastructure costs by 30% and improving performance by 25%

2. Quantify your achievements with metrics

Whenever possible, use metrics to quantify your achievements and show the impact you've made in your previous roles. This helps hiring managers understand the scale and significance of your contributions.

• Optimized the company's cloud infrastructure, reducing monthly cloud costs by $10,000 while maintaining performance and reliability
• Implemented a disaster recovery plan that reduced the RTO from 24 hours to 4 hours, ensuring minimal downtime in case of an outage
• Automated the provisioning and configuration of cloud resources using Terraform, saving the team 20 hours per week in manual work

3. Showcase your problem-solving skills and impact

Cloud engineers often face complex challenges that require creative problem-solving. Highlight instances where you've successfully tackled difficult problems and made a significant impact on your team or organization.

Instead of simply listing your responsibilities, focus on the actions you took and the results you achieved. Here's an example of how you can transform a generic responsibility into an impactful achievement:

• Responsible for managing and maintaining the company's cloud infrastructure
• Proactively identified and resolved performance bottlenecks in the company's cloud infrastructure, resulting in a 50% reduction in latency and a 25% increase in user satisfaction

4. Highlight your career growth and promotions

Showcasing your career progression within a company or across different organizations demonstrates your ability to take on increasing responsibilities and adapt to new challenges. If you've been promoted or have taken on leadership roles, make sure to highlight this in your work experience section.

Cloud Engineer, ABC Company January 2018 - Present Senior Cloud Engineer (January 2020 - Present) - Led a team of 5 cloud engineers in the design and implementation of a multi-region, high-availability architecture on AWS, reducing downtime by 99% - Mentored junior cloud engineers, providing guidance on best practices and helping them develop their technical skills Cloud Engineer (January 2018 - December 2019) - Designed and implemented a serverless architecture using AWS Lambda and API Gateway, reducing infrastructure costs by 50% and improving scalability

  Education

The education section is a critical part of your resume, especially if you're a recent graduate or early in your career. It's where you showcase your academic achievements and relevant coursework. Here are some tips to help you write an effective education section for your cloud engineer resume.

1. List your degrees in reverse chronological order

Start with your most recent degree and work backwards. Include the name of the institution, the degree earned, and the year of graduation. If you have multiple degrees, list them separately.

Here's an example of how to format your education:

• Bachelor of Science in Computer Science, XYZ University, 2020
• Associate of Science in Information Technology, ABC Community College, 2018

2. Highlight relevant coursework and projects

If you're a recent graduate or have limited work experience, highlighting relevant coursework and projects can help demonstrate your skills and knowledge to potential employers. Include a bullet point list of courses or projects that are directly related to cloud engineering.

• Relevant Coursework: Cloud Computing, Data Structures, Algorithms, Distributed Systems
• Senior Project: Developed a scalable cloud-based application using AWS services

3. Include certifications and training

Certifications and training programs are highly valued in the cloud engineering field. If you have any relevant certifications or have completed training programs, include them in your education section.

Here's an example:

• AWS Certified Solutions Architect - Associate, 2021
• Google Cloud Platform Fundamentals: Core Infrastructure, Coursera, 2020

4. Keep it concise for senior-level positions

If you're a senior-level cloud engineer with extensive work experience, your education section should be brief. Include only your highest degree and any directly relevant certifications.

Here's an example of what to avoid:

• Bachelor of Science in Computer Science, XYZ University, 1995-1999
• Relevant Coursework: Intro to Programming, Data Structures, Algorithms, Operating Systems, Computer Architecture, Databases, Networking
• GPA: 3.8/4.0

Instead, keep it short and sweet:

Bachelor of Science in Computer Science, XYZ University

Action Verbs For Cloud Engineer Resumes

Action verbs are strong grammatical resources that can help you improve your resume. They accurately complement your experience and help you explain your role better. In the following list, you’ll find some of the best action verbs you can use in your cloud engineer resume. 

• Troubleshooted
• Strengthened
• Streamlined

For a full list of effective resume action verbs, visit Resume Action Verbs .

Action Verbs for Cloud Engineer Resumes

Skills for cloud engineer resumes.

When writing your cloud engineer resume, you should tailor it to that particular field. That’s why adding the appropriate skills is crucial. If you need help finding the cloud engineering skills you could use to enhance your resume, take a look at the following ones. We’ve compiled a list of some related skills you can use. 

• Amazon Web Services (AWS)
• Docker Products
• Cloud Computing
• AWS CloudFormation
• Python (Programming Language)
• Google Cloud Platform (GCP)
• Virtualization
• Solution Architecture
• Cloud Computing IaaS
• Go (Programming Language)
• Continuous Integration
• Infrastructure

Skills Word Cloud For Cloud Engineer Resumes

This word cloud highlights the important keywords that appear on Cloud Engineer job descriptions and resumes. The bigger the word, the more frequently it appears on job postings, and the more 'important' it is.

How to use these skills?

Other resumes.

Continuous Improvement

Sales Engineer

Cloud Engineer Resume Guide

• Cloud Engineer Resume Example
• AWS Cloud Engineer Resume Example
• Cloud Support Engineer Resume Example
• Cloud Network Engineer Resume Example
• Cloud DevOps Engineer Resume Example
• Azure Cloud Engineer Resume Example
• GCP Cloud Engineer Resume Example
• Tips for Cloud Engineer Resumes
• Skills and Keywords to Add
• All Resume Examples
• Cloud Engineer CV Examples
• Cloud Engineer Cover Letter
• Cloud Engineer Interview Guide
• Explore Alternative and Similar Careers

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SOP - MSc Computing and Information Communication Technology

• Sample personal statement

07 July, 2022

Sop - msc computing and information communication technology share.

• 12 May, 2013

The course that I’m looking to pursue is MSc Computing and Information Communication Technology at University of East London (UEL). Through the studying of this course, I will be able to gain invaluable in-depth and practical knowledge which will help me in starting a successful career. Moreover, getting the opportunity to study in this university will help me advance both professionally and academically. In addition, the opportunity to apply my theories and ideas in practice will benefit me to enhance my skills and knowledge and to achieve a deeper understanding of the field of programming, database systems, software engineering, computer architecture and networks.

According to my research I have found that the MSc Computing and Information Communication Technology develops future leaders who can bring data skills and insight to their profession. After reading through the modules and the learning outcome of the MSc Computing and Information Communication Technology course, I have realized that they are conceptually invigorating and very contemporary. By studying this course, I will be able to gain the knowledge, understanding and skills relevant for pursuing a rewarding career within a globally data driven environment. Moreover, the course helps students become self-sufficient, by helping students build self-direction and personal development. A self-sufficient student is always a valuable addition to a society and economy. As I want to explore my career in software development positions, completing this course will put me in a favourable position in terms of the software research and development market. As of the moment, I am interested in learning all the related skills and knowledge from this course. For this reason, this course will be the right choice for my career plans and objectives.

Following the completion of mySenior School Certificate Examination, I studied Bachelor of Electrical and Electronics Engineering from Enugu State University of Science, Enugu, Nigeria in 2021. Since my graduation, I have been researching on the various computer related higher education courses both in the UK and other English-speaking countries. After much research, I have found this course at UEL to be a perfect fit to both my previous education, as well as my future career goals I have. My previous course and my interest in this subjectwill be complementary to my prospective study since my existing knowledge in the field through my bachelor’s degreemeans I will be able to better understand the concepts of the course. These are the things which have motivated me to pursue this course at University of East London. If I can successfully complete this course, it will create a platform to pursue different career opportunities in Nigeria and establish my career as a Senior Software Architect in a leading tech company, such as 9Mobile, Google Nigeria and Airtel Nigeria.

UEL offers Programming Fundamentals, Computer Architecture and Networks, Database Systems, Software Engineering, and Mental Wealth: Professional Life. All the modules are highly demanding and suitable totoday’s world. For professionals, I believe that this course would be the right choice who are looking for a successful career in Computer and Software Development sector.

I am determined to study this course in the UK as the study environment in my country is quite different and we only have the opportunity to study with local students. Furthermore, due to periods of unexpected political unrest, students often struggle to finish their degrees on time. Conversely, the UK has a great multicultural and diversified student community which is an opportunity for me to learn with lot of students from different nationalities. UK education brand is highly respected by employers in our country as UK degree prepare graduates with academic competencies, developed personal and professional skills that are imperative for organizational success. UK is home to some of the best universities in the world and are placed high in the world rankings. There is a total of 143 universities in the UK, 108 of which are in England, 19 in Scotland, 8 universities in Wales and 8 in Northern Ireland. Of the top 10 universities in the world, 4 are held by UK institutions. Owing to educational excellence of these universities, there are a total of 485,645 international students studying in the UK, representing over 100 different countries. Candidates will have the opportunity to take part in world-class research that have direct influence on many international affairs, such as vaccine research, innovative business idea development, and more. Students can choose from over 64 different subject areas, offering over 50,000 different courses. The degrees awarded by UK universities are recognized all over the world by recruiters and academics alike and most universities have a graduate employability rate of almost 90%. These are the reasons why I chose UK over other countries to pursue my higher education.

The University of East London has been pioneering futures since 1898: from the 2nd Industrial Revolution through to where they are now, the 4th. The degree courses are focused on industry-relevant education, and the university provides work-based learning and stimulating curriculum. Academic staffs are equipped with up-to-the-minute real-world expertise and features unparalleled links with top employers create career opportunities. The courses combine the quality of degree program with the commercial outlook of an international leader in training and talent development, to enhance students’ employability. University of East London features teaching facilities that prepare students properly for the professional atmosphere and technological environment they can expect when they commence or progress their careers. UEL is also ranked as the 'Best Modern University in London' by the National Student Survey, 2nd in the UK for Teaching Quality (Times Higher Education Young University Rankings). The university features top notch research quality and teaching frameworks are really good. Opportunities produced by the university to put theoretical knowledge into industrial practice are miscellaneous. In addition, they provide modern and secure on-campus accommodation which will add an extra benefit and experience for the students. I will be looking forward to experience more of their study environment if I get this opportunity to study at University of East London, London.

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Computer networks and network security personal statement example.

My fascination with Information and communication technology has been the driving factor behind my decision to opt for a degree in Computer networking. As a 16 year old coming from a country where the use of computers were very limited, I found myself in awe on arrival in the UK to find that computers were an everyday item. I immediately developed an interest in how these equipments worked and what made them so efficient to work with. I made the decision to undertake courses that would help broaden my knowledge on the subject.

In the course of my studies, my interest grew from just how computers worked, to Information Technology as whole, leading me to enrol on a Comptia A+ certification course. I learnt how to identify the various components such as the motherboard, RAM, BIOS and processor which makes up a personal computer and the role they play. Assembling all the relevant components, installing the required Operating system and dealing with errors at start up were all parts I enjoyed in the process of building a personal computer.

After gaining some experience, I enrolled on a short Cisco CCNA taster course at my local university, which enabled me to gain some basic concept of networking. Through tutor led classes, self study and team work; I gained valuable knowledge of the various network topologies, cable types and their uses, switches and routers and IP addressing. I also had the chance to implement and configure some basic networks through simulation software such as packet tracer and real Cisco equipment. As a keen problem solver and an individual who enjoys hands on experience, doing the above course gave me the ability to make a decision on which career path to follow.

With a passion to become a network analyst, I went on to study foundation degree in Information and Communication Technology (FdSc ICT) as a mature student at university. In two years, I studied modules such as Database Systems, Visual Programming, Client/Server OS, ICT, E-business and Computer networking. I gained an idea of how dynamic the world of ICT is and also realising how the synergy of the aforementioned modules has been the driving force in the rapid and great advancement in ICT. The computer networking module gave me the chance to go deeper into areas of networking such as, IP classes, subnetting, router and terminal configurations, network mapping, Telnet, the OSI and TCP/IP models, trouble shooting and network security. Even though the course was very demanding, I enjoyed the challenges it brought and was always determined to succeed. However, due to family problems I encountered during studying, I was unable to complete successfully but gained valuable knowledge and transcripts with 180credits as proof of my studies.

Working as a croupier has been an enjoyable experience since I began as a trainee five years ago. I am presently able to deal casino games such as American roulette, Black Jack, Texas and poker. Attention to detail and the ability to keep focused and stay calm whilst working under pressure is an attribute I have developed as croupier.

Keeping fit by going to the gym gives me a sense of fulfilment after a good workout and also the chance to socialise. I also like to play football with friends as well as participate in online football competitions through my Xbox gaming console. I have been a regular participant in the football competition held yearly by my employer for the past five years.

With a passion to become network analyst, I feel I have the determination and knowledge required to undertake and successfully complete a degree in computer networking. I believe having studied extensively into the field of networking and having the privilege of already experiencing life as university student will prepare me for the challenges that lie ahead. I am willing to learn and I believe I have the drive and motivation to make the best out of this opportunity if offered a place.

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This personal statement was written by Nvr2L8 for application in 2011.

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Tue, 20/03/2012 - 21:29

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