Master’s in Computer Science: Everything You Need to Know
While it’s no secret that computers are a part of our everyday life, there has been a significant increase in the worldwide inventory of industrial robots in the past decade. According to the Oxford Economics report, robots will replace 20+ million jobs by 2030.
So, if you’re wondering how to future-proof your career, a master’s in computer science will have you well covered.
What is a master’s in computer science?
A master’s in computer science is a graduate-level programme that focuses on the advanced study of computer science theories, principles and practices. It offers a deeper understanding of subfields, such as algorithms, data structures, programming languages, software engineering, computer networks, artificial intelligence, and more.
Typically, it takes one to two years to complete. But some programmes may offer an accelerated or part-time option. These accelerated options, such as the ones provided by UMass Amherst and the University of Colorado Boulder, are aimed at students with a bachelor’s degree in computer science who wish to use some of their undergraduate credits towards the master’s coursework.
What are the specialisations for a master’s in computer science?
Some popular specialisations for students pursuing a master’s degree in computer science are:
- Artificial Intelligence (AI): Developing intelligent machines that work and learn like humans.
- Data Science: Extracting meaningful insights from large and complex data sets, statistical analysis, data mining and visualisation.
- Cybersecurity: Protecting computer systems, networks, and data from unauthorised access, theft, and damage, including cryptography and cybercrime investigation.
- Software Engineering: Developing and designing high-quality software that meets customer requirements.
- Human-Computer Interaction (HCI): Designing and evaluating interactive computing systems and providing a good user experience.
- Computer Networks: Designing, implementing, and maintaining computer networks that connect devices.
- Database Systems: Designing, implementing, and maintaining large and complex databases.
These are just a few examples of the many specialisations available for a computer science master’s degree. Before choosing one, consider your interests, career goals, and the job market demand for that particular specialisation.
Is a master’s in computer science worth it?
A master’s in computer science can lead to various career opportunities, including software development, data science, software engineering, computer systems analysis, and more. It is also a stepping stone to pursuing a PhD.
This degree opens prospects in countries like the US, UK, Canada, Europe, Russian and China. Additionally, if you dream of a career in technology and aspire to work at global companies like Amazon, Facebook, Microsoft or Google, this degree gives you a competitive edge. There are as many as 790+ full-time job listings on Google for those with this degree.
Your problem-solving skills and aptitude for computing and programming languages will set you apart. Here are some benefits of having a master’s degree in computer science:
- Increased job opportunities: Obtaining a master’s in computer science can substantially expand your job prospects, especially in industries requiring advanced technological expertise.
- Higher earning potential Those with a master’s in computer science degree typically receive a higher starting salary than those with a bachelor’s degree. The salary range may vary based on industry, location, and job responsibilities.
- Research opportunities: A master’s in computer science includes research opportunities which allow you to work on cutting-edge projects that could impact the future.
- Global opportunities: The technology industry is snowballing, and there is a high worldwide demand for skilled professionals in software engineering and data science professionals.
- Access to industry leaders: Some computer science programmes offer guest lectures or workshops from industry leaders who provide insight into the latest technologies and trends. Imagine sitting in on a guest lecture by Bill Gates.
What is the average salary for those with a master’s in computer science?
According to the U.S. Bureau of Labor Statistics of 2021, the median annual salary for those with a master’s degree in computer and information technology is $131,490, depending on experience, location and industry. On the other hand, the average salary for those with a bachelor’s degree is $100,000. So, if you’re hoping to earn more, we strongly recommend pursuing a master’s in computer science.
What are the top jobs for those with a master’s in computer science degree?
Computer science is constantly evolving, and new opportunities are always emerging. While the list of jobs is endless, here are some you may want to pursue:
- Software developer: You can design, develop, and maintain software applications while working on various projects, including web and mobile apps and desktop software.
- Data scientist: You can analyse and interpret complex data sets while working on projects such as predictive modelling, machine learning, and data visualisation.
- Computer network architect: You can design and build computer networks, including local area networks (LANs), wide area networks (WANs), and intranets, ensuring they are secure, efficient, and reliable.
- Database administrator: You can manage, organise and secure large amounts of data and ensure that everything is efficiently stored and retrievable.
- Cybersecurity analyst: You can identify and prevent cyber threats and work on vulnerability assessments, network security, and incident response projects.
- Machine learning engineer: You can develop and implement machine learning algorithms and models to solve complex problems in various industries such as healthcare, finance, and e-commerce.
- AI specialist: You can develop and implement technologies, such as natural language processing, computer vision, and deep learning, to solve business problems.
- DevOps engineer: You can combine development and operations to work on projects such as continuous integration and deployment, infrastructure automation, and monitoring and logging.
What are the prerequisites for a master’s in computer science?
1) Transcripts for a master’s in computer science:
To apply for a master’s in computer science, you must provide transcripts for all your undergraduate courses. You may also require transcripts for any graduate-level courses you may have taken. Generally, the minimum GPA requirement for admission is around 3.0 or higher, although this can vary depending on your chosen programme. For example, top universities like Stanford and UC Berkeley typically have an average GPA of 3.7 or higher. Most programmes expect you to have at least 16 years of education, including your four-year undergraduate degree. While no specific undergraduate major is required for admission to a master’s in computer science programme, having a background in the subject or related fields like mathematics and engineering is generally preferred.
2) GMAT/GRE for a master’s in computer science:
Most master’s in computer science programmes require GMAT or GRE scores. However, some universities may waive this requirement if you meet specific criteria, such as a high GPA or relevant work experience. It’s important to note that the choice between taking the GMAT or GRE will depend on the university you wish to attend. Therefore, check with the university to ensure you take the correct exam. The average GRE score is typically around 320-330. To achieve this score, you should aim for at least 160 in the Quantitative Aptitude section and at least 155 in Verbal Reasoning.
Read our blog on what admissions officers seek beyond the GMAT/GRE scores.
3) IELTS/TOEFL for a master’s in computer science:
International students who wish to study in English-speaking countries may be asked to provide proof of their English language proficiency by submitting scores from the IELTS or TOEFL exams. The specific minimum score requirements can vary among universities, but generally, a score of 6.5 or higher on the IELTS and 80 or higher on the TOEFL is usually required. It’s important to note that while both exams are commonly accepted, the TOEFL is generally more widely accepted than the IELTS.
Read our blog on why English language proficiency tests are important.
4) Resume for a master’s in computer science:
Many computer science programmes request a resume emphasising your educational background, work experience, skills, and achievements. While you can find resume templates online, customising yours is essential. Showing technical skills and languages is more important than just listing the same. Your Github account that displays your past and WIP projects is an effective way to showcase your technical know-how.
Watch our webinar on how to write an effective resume for a master’s programme.
5) Letters of recommendation (LORs) for a master’s in computer science:
These letters should come from people who can vouch for your academic or professional skills. But don’t assume that a simple request for a recommendation letter (LOR) suffices. Similar to other application elements, LORs demand careful preparation.
Provide your recommenders with relevant details about your background and accomplishments in computer science. Include your resume, transcripts or an overview of your academic and professional feats within the discipline.
Each university may have different guidelines for who should write these letters, so reviewing their specific requirements is essential.
6) Essays and video essays for a master’s in computer science:
Most computer science programmes require you to submit one or more essays as part of your application. These essays may be a Statement of Purpose (SOP) or a Personal History Statement (PHS). The SOP typically asks you to reveal reasons for pursuing this master’s programme, your academic and professional objectives and any obstacles you’ve overcome. Read our blog for tips on writing an impactful SOP.
Meanwhile, the PHS provides an opportunity for you to describe how your experiences have shaped your interests and equipped you to tackle challenges.
Additionally, certain universities may require a recorded video essay in which you outline your motivations.
7) Interviews for a master’s in computer science:
Some programmes may invite you for interviews as part of the admissions process. The timing, format, and type of interview may vary depending on the university. They may be conducted in person, via video conference, or over the phone. You should check with the university for specific requirements.
Always check the prerequisites of the programme to assess your eligibility. For example, Stanford’s master’s in computer science programme has the following foundation requirements:
- Logic, Automata and Complexity (CS 103)
- Probability (CS 109 or Stat 116 or CME 106 or MS&E 220)
- Algorithmic Analysis (CS 161)
- Computer Organ & Systems (CS 107 or 107E)
- Principles of Computer Systems (CS 110 or 111)
Some universities may also ask you to have significant related work experience before you can apply for their computer science programmes.
What are the must-knows about pursuing a master’s in computer science abroad?
A typical master’s in computer science programme abroad involves coursework and research that allows you to develop skills and knowledge in various areas. Duration, fees, post-study work, and other details vary per the university and country. Here’s a general overview of some of the popular countries:
Duration | Approx fees (annual) | Post-Study work | |
Master’s in computer science – US | 1-2 years | $20,000 – $50,000 | While most international students can work for 12 months after graduating, STEM graduates are eligible for a three years stay under the Optional Practical Training (OPT) option. |
Master’s in computer science – UK | 1-2 years | £15,000 to £30,000 | The UK’s Graduate Route Visa enables all international students to work for 2 years after graduation. |
Master’s in computer science – Canada | 1-2 years | CAD 10,000 to CAD 35,000 | Post Graduation Work Permit (PGWP) allows international students to work in Canada for up to 3 years after graduation. |
Master’s in computer science – New Zealand | 1-2 years | NZD 25,000 to NZD 45,000 | The Post-Study Work Visa allows international students to work in New Zealand for up to 3 years after graduation. |
Master’s in computer science – Australia | 1-2 years | AUD 25,000 to AUD 50,000 | The Post-Study Work Stream of the Temporary Graduate Visa allows international students to work for 2-4 years after graduation, depending on the level of qualification. |
Master’s in computer science – Ireland | 1-2 years | €10,000 to €25,000 | Stamp 1G visa allows international students to work in Ireland for up to 2 years after graduation. |
Master’s in computer science – Germany | 2 years | Semester fee of around €150-€300 | International students are eligible for an 18-month job search visa. Once they find a job, they can apply for a work visa. |
What are the top universities for a master’s in computer science?
Harvard University – US
Admit Rate | Application Requirements | Class Size | Specialisations |
17% | – GRE /GMAT – Transcripts – TOEFL/IELTS for international students – GPA of 3.0+ – 3 essays – 3 LORs – Work experience in a related field preferred | 70-80 | – AI – Data Science – Human-Computer – Interaction Software Engineering – Computer Theory |
The Georgia Institute of Technology (Georgia Tech) – US
Admit Rate | Application Requirements | Class Size | Specialisations |
26% | – GRE/GMAT waived for 2023 – Transcripts – TOEFL/IELTS for international students – GPA of 3.0+ – 1 essays – 3 LORs – Work experience in a related field preferred | 200+ | – Computer Graphics – Computing Systems – High-Performance Computing – Human-Computer Interaction – Interactive Intelligence – Machine learning – Modeling & Simulations – Scientific Computing – Social Computing Visual Analytics |
University of Arizona – US
Admit Rate | Application Requirements | Class Size | Specialisations |
14.51% | – GRE/GMAT: N/A – Transcripts – TOEFL/IELTS for international students – GPA of 3.0+ – 1 essays – 2 LoRs – Work experience in a related field preferred | 200 | – Algorithms – AI – Parallel, Distributed & High-Performance Computing – Programming Languages & Compilers |
Massachusetts Institute of Technology (MIT) – US
Admit Rate | Application Requirements | Class Size | Specialisations |
7-9% | – GRE/GMAT -Transcripts – TOEFL/IELTS for international students – GPA of 3.0 – 2 essays – 3 LORs – Work experience preferred | 250 | – AI – Computer Graphics – Computer Systems – Human-Computer Interaction – Machine Learning Theory of Computation |
Northeastern University – US
Admit Rate | Application Requirements | Class Size | Specialisations |
35% | – GRE (preferred) /GMAT -Transcripts – TOEFL/IELTS for international students – GPA of 3.0 – 1 essays – 2 LORs – Work experience in a related field preferred | 200 | – AI – Computer Graphics – Data Science – Human-computer Interaction – Networks & Distributed Systems – Software Engineering |
Boston University – US
Admit Rate | Application Requirements | Class Size | Specialisations |
24% | – GRE (preferred) /GMAT -Transcripts – TOEFL/IELTS for international students – GPA of 3.0 – 1 essays – 2 LORs – Work experience in a related field preferred | 125+ | – AI – Computer Graphics – Data Science – Human-Computer Interaction – Networks & Distributed Systems – Software engineering |
Virginia Tech – US
Admit Rate | Application Requirements | Class Size | Specialisations |
25% | – GRE (preferred) /GMAT -Transcripts – TOEFL/IELTS for international students – GPA of 3.0 – SOP – 3 LORs – Resume – Work experience in a related field preferred | 125+ | – AI – Data Analytics – Machine Learning – Cybersecurity – Software Engineering & Systems – Human-Computer Interaction – Scientific Computing |
The Pennsylvania State University (Penn State University) – US
Admit Rate | Application Requirements | Class Size | Specialisations |
28% | – GRE (preferred) /GMAT -Transcripts – TOEFL/IELTS for international students – GPA of 3.0 – 1 SOP – 3 LORs – Resume – Work experience in a related field preferred | 75+ | – AI – Data Science – Human-Computer Interaction – Computer & Network Security – Software Engineering – Programming Languages |
Brown University – US
Admit Rate | Application Requirements | Class Size | Specialisations |
24% | – GRE/GMAT waived in 2021-22 -Transcripts – TOEFL/IELTS for international students – GPA of 3.0 – Personal statement/Essay – 3 LORs – Resume – Work experience in a related field preferred | 60+ | – AI & Machine Learning – Computer Graphics & Vision – Data Management & Analysis – Theory & Algorithms – Human-Computer Interaction – Robotics Students may design their programmes based on their interests and career goals. |
King’s College London – UK
Admit Rate | Application Requirements | Class Size | Specialisations |
25% | – GPA of 2.1 – TOEFL/IELTS for international students – 2 LORs – Personal statement – Work experience in a related field preferred | 125+ | – AI – Computational Finance – Cybersecurity & Privacy – Distributed Computing Systems – Human-Computer Interaction – Machine Learning, – Natural Language Processing – Robotics Students can design their program of study based on their interests and career goals. |
University of Toronto – Canada
Admit Rate | Application Requirements | Class Size | Specialisations |
20% | – GRE/GMAT waived in 2021-22 -Transcripts – TOEFL/IELTS for international students – GPA of 3.0 – SOP – 2 LORs – Resume – Work experience in a related field preferred | 125+ | – AI – Computer Systems Data Mining & Analysis – Human-Computer Interaction – Machine Learning – Programming Languages – Robotics, – Theory of Computation |
University of Waterloo – Canada
Admit Rate | Application Requirements | Class Size | Specialisations |
25% | – GRE/GMAT waived in 2021-22 -Transcripts – TOEFL/IELTS for international students – GPA of 3.0 – SOP – 3 LORs – Resume – Work experience in a related field preferred | 75+ | – AI – Computer Graphics & HCI – Computer Networks & Distributed Systems – Database Systems – Programming Languages & Compilers – Scientific Computing & Numerical Analysis – Security & Privacy – Software Engineering – Systems & Networking |
York University – Canada
Admit Rate | Application Requirements | Class Size | Specialisations |
35% | – GRE/GMAT waived in 2021-22 -Transcripts – TOEFL/IELTS for international students – GPA of 3.0 – Statement of Interest – 3 LORs – Resume – Work experience in a related field preferred | 75+ | – AI – Data Science & – Analytics, Computer Vision & Image Processing – Computer Networks & Distributed Systems – Human-Computer Interaction – Software Engineering & Programming Languages Systems & Security |
Dalhousie University – Canada
Admit Rate | Application Requirements | Class Size | Specialisations |
30% | – GRE/GMAT waived in 2021-22 -Transcripts – TOEFL/IELTS for international students – GPA of 3.0 – Statement of Interest – 3 LORs – Resume – Work experience in a related field preferred | 40+ | – Algorithms & Complexity – AI – Computer Graphics – Human-Computer Interaction – Data Science & Analytics – Distributed & Parallel Systems – Networks & Systems Security – Software Engineering & Verification – Theoretical computer science |
McMaster University
Admit Rate | Application Requirements | Class Size | Specialisations |
25% | – GRE/GMAT waived in 2021-22 -Transcripts – TOEFL/IELTS for international students – GPA of 3.0 – Statement of Interest – 3 LORs – Resume – Work experience in a related field preferred | 35+ | – AI – Computer Networks – Data Science & Analytics – Human-Computer Interaction – Software Engineering – Theoretical Computer Science |
FAQs about master’s in computer science
1) Is it possible to get a master’s in computer science without studying it at the undergraduate level?
Yes, it is possible. But you may require additional coursework to meet knowledge and skills requirements. Many universities offer bridge programmes or preparatory courses for students with non-computer science backgrounds. These programmes provide foundational knowledge in programming, algorithms, data structures, and other vital areas. Some master’s in computer science programmes accept students with undergraduate degrees in related fields, such as mathematics, engineering, or physics.
While a background in computer science is helpful, it is not always a requirement for admission. It is important to check the specific needs of the programmes you are interested in and contact the admissions office if you have any questions.
2) Can I apply for a master’s in computer science after civil engineering?
Of course, you can. But many master’s in computer science programmes have prerequisites, including programming, algorithms, data structures, and computer organisation courses. If you did not take these courses as part of your civil engineering degree, you might need to take them as additional coursework.
You can also gain computer science experience through internships, research projects, and self-study. Highlighting any relevant experience or coursework on your application demonstrates interest and aptitude. Overall, while a civil engineering degree may not be directly related to computer science, it is still possible to transition into a master’s program in computer science with some additional preparation.
3) Is it worth pursuing a master’s in computer science online?
A master’s in computer science online can be a good option for students who require convenience and affordability. It is ideal for those who are good at self-learning. However, it is essential to carefully research the programme and ensure it meets your educational and career goals.
4) Can I pursue a master’s degree in computer science and a master’s in engineering?
Master of Science in Computer Science and Engineering combines computer science, electrical engineering, and computer engineering coursework. You may also look for dual degree programmes to earn a master’s degree in computer science and a master’s degree in engineering.
Pursuing a master’s degree in computer science and engineering can provide students with a strong foundation in both fields, which can benefit careers requiring expertise in both areas, such as software engineering, robotics, and machine learning.
5) How difficult is a master’s in computer science?
The difficulty level of a master’s in computer science can vary depending on factors such as the programme’s curriculum, rigour, prior experience, personal learning style and study habits. However, while it is a challenging field, it is also rewarding and can lead to exciting career opportunities.
6) Is there a one-year master’s in computer science programme?
Yes. There are one-year programmes for students with a background in the field who want to specialise. One-year programmes are generally more rigorous and may require students to take additional courses. They may also have fewer elective options, as students are expected to have completed foundational courses. Not all universities offer a one-year master’s programme in computer science, and those that do may have different admission requirements and course structures.
7) What is the difference between a master’s in computer science and a master’s in software engineering?
While both are valuable degrees involving advanced study in computing and technology, there are some key differences:
Master’s in computer science | Master’s in software engineering | |
Focus | Theoretical and foundational concepts, such as algorithms, programming languages, and computer architecture | Practical aspects, such as software design, development methodologies, and project management |
Curriculum | Covers a broad range of topics, such as databases, artificial intelligence, computer graphics, and computer networks. | Covers topics such as software design patterns, testing, and software project management. |
Career | Research & development, software engineering, data science, or academia | Software development, software project management, or software architecture |
Admission requirements | Requires a more robust background in mathematics and computer science concepts | Prefers applicants with experience in software development. |
8) Do I need to be good at mathematics for a master’s in computer science?
Mathematics is a fundamental aspect of computer science, and several master’s programmes require coursework in mathematics, such as calculus, linear algebra, probability, and statistics. However, the level of mathematics needed may vary depending on the area of specialisation. While having a solid background in mathematics is beneficial, it is not always necessary to be exceptionally good at the subject.
Additionally, many aspects of computer science, such as programming and software development, do not require advanced mathematical skills. If you struggle with certain areas of mathematics, it is still possible to pursue a master’s in computer science by focusing on areas of the field that align with your strengths and interests.
With the growing demand for technology experts, a master’s in computer science can open up opportunities for you to work in various industries and sectors, including finance, healthcare, government, and education. Following this guide, you can make informed decisions about the programme, choose the right school, and start your journey towards a fulfilling and lucrative career.
Why consider The Red Pen Postgraduate Admissions Team?
- The Red Pen Postgraduate Admissions Team is dedicated to helping you identify and apply to international master’s and PhD programmes that align with your academic and career goals.
- We are members of the IECA (Independent Educational Consultants Association), which gives us access to the latest updates on university trends.
- We work with applicants with diverse interests in finance, technology, general management, advertising, marketing, entrepreneurship, computer science, data science, analytics, sustainability and social impact, among others.