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Subject guide

What is an MSc in Computer Science?

Last updated: 2 September 2025

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Computer Science MSc quick summary

  • An MSc in Computer Science provides advanced skills in algorithms, software engineering, databases, computer networks, cyber security, and cloud computing.
  • A computer science master's degree trains you to solve complex technical problems, write high-level practical code, and build scalable systems.
  • A Computer Science MSc can lead to a range of careers, including as a software engineer, data analyst, UX/UI designer, or cloud engineer.
  • MSc Computer Science graduates typically receive high salaries and excellent prospects in fast-growing tech industries.
What is an MSc in Computer Science?

A complete guide for 2026 applicants

As technology evolves, so too does the need for capable computer scientists. In this subject guide, we’ll look at the world of computer science, the qualifications and technical skills you need to succeed, and where a career in this fast-moving field might take you.

What is an MSc in Computer Science?

Computer Science is the study of computational systems, their theoretical foundations, and how they can be used in practical applications. An MSc in Computer Science is a postgraduate-level academic degree that focuses on advanced study of computer systems. 

As an MSc in Computer Science student, you'll study key computing concepts and use your newfound knowledge to solve real-world problems. What you'll study on a Computer Science MSc can vary by degree-provider, but core learning often includes topics such as artificial intelligence, big data, cyber security.

By the end of a postgraduate computer science degree, you'll be qualified to step into a range of well-paid, future-proof careers in technology. And if you study online, you'll benefit from the flexibility to develop these future-proofed skills around your professional life, applying what you learn as you go. Let's explore the MSc in Computer Science in more detail together.

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Why is computer science important?

All modern digital devices rely on computer science. Without it, important everyday tools such as smartphones, laptops, household appliances, and medical devices would not be able to function. It is a key component of global communication, enabling billions of people to stay connected worldwide. Today, 73.2% of the global population uses the internet, a system that is built on computer science.

  • What do we need computer science for every day?

    Almost every sector depends on computer science to solve complex problems, including:

    • Healthcare: medical imaging, diagnostics, digital records, and AI-assisted treatments

    • Finance: online banking, fraud detection, and algorithmic trading

    • Transportation: GPS systems, logistics optimisation, and autonomous vehicles

    • Energy: smart grids and renewable energy modelling

    • Entertainment: animation, video games, and streaming platforms

  • How does computer science contribute to major global issues?

    Computing also plays a key role in tackling major issues such as:

    • Climate change modelling

    • Disease prediction and bioinformatics

    • Disaster response simulations

    • Efficient resource management

    Emerging fields like artificial intelligence, robotics, quantum computing, virtual reality, and biotechnology all depend on computer science. It will continue to be used in plenty of ways to help shape the future for people all around the world.

How much practical experience can you expect on a Computer Science MSc?

There will tend to be a balance of practical and non-practical learning on an MSc Computer Science degree. Practical work often involves programming tasks, software projects, and collaborative problem-solving. Non-practical elements focus on theoretical concepts and critical analysis.

All master's courses also requiring a dissertation or major project, giving you the chance to apply your knowledge in a specialist area.

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What can I do with an MSc in Computer Science?

An MSc Computer Science degree can open doors to roles across software development, cyber security, data, cloud computing and other specialist areas of IT. Which means most graduates use their master's degree to move up in their career, or switch into the computer science field.

To strengthen your profile further, many professionals choose to add industry-recognised certifications aligned to their role or specialism.

A young professional presenting a project on machine learning algorithms.

MSc in Computer Science: study options

An MSc in Computer Science can be studied in different ways, depending on how you want to learn. Some students choose traditional on-campus study, while others prefer distance or fully online learning that offers more flexibility. Each option leads to the same qualification, but the experience can feel very different.

  • Pathways for online learners for MSc Computer Science

    Online learning is a great alternative to traditional campus-based study. This is especially true if you want better flexibility and the ability to fit the course around your busy schedule. Online courses provide the same general curriculum and qualifications as those for traditional on-campus degrees, but mean you'll be able to start your journey as a computer scientist without having to relocate or change your current job.

    Online learning is ideal for:

    • Those already working full-time

    • Students with mobility or health challenges

    • Parents or carers

    • International students

    Some online MSc programmes are in both full-time and part-time formats, so you can choose what works best for you. You won't be locked into live timetables, instead learning from resources you can access at any time, from any where.

  • Modular course structure

    All degree programmes are made up of modules. Typically, you'll complete one or two modules at a time, giving you a clear focus on individual topics, and receive frequent assessments and feedback throughout the academic year. 

    The course will usually be structured in a way that balances a good mix of beginner knowledge, advanced subjects, and practical experience. When it begins, all students learn the same set of core modules. Once these are completed, you may decide to specialise in one particular area and opt for a specific advanced module.

How MSc Computer Science conversion courses differ

A Computer Science conversion course will teach you the foundational topics covered in an undergraduate degree, as well as more advanced topics. It's a great option if you have no prior background in IT.

MSc Computer Science (standard)MSc Computer Science (conversion)
Who's it for?

People who already have a strong computing background (usually from their undergraduate degree or work experience).

People changing careers who don’t have a computer science background.
Best fit if you want to…

Deepen your existing computer science knowledge and specialise in a particular area.

Break into tech and gain a recognised CS qualification without having studied it before.
Typical entry requirements

Often requires a related undergraduate degree (e.g., Computer Science, Software Engineering, Maths, Physics) and/or strong technical experience.

Often requires an undergraduate degree in a subject other than computing or computer science (e.g., business, humanities, social sciences). 
Assumed knowledge at the start

Assumes you already understand core computer science concepts (programming, algorithms, data structures).

Designed to be accessible to non-computing graduates, without assuming a prior computer science degree.
What the curriculum focuses on

More advanced depth and specialisation across CS topics.

Broad computer science foundations and practical skills, to support career transition.
Programming expectations

Programming skills often expected early and at a higher starting level.

Programming is still central, but the course is designed to support learners who are earlier in their technical journey.
Typical outcomes

Advanced specialist computing execution roles (e.g., AI, cyber, software engineering).

Career-change routes into computing roles (e.g., software development, IT, systems, entry-level data roles depending on area of focus).

Is an MSc in Computer Science worth it?

An MSc in Computer Science can be a highly valuable investment, as demand for this skill set is high and likely to increase. Computer Science graduates are likely to find that they get a great return on the investment of their tuition fees, thanks to the employability skills that they develop. 

Employability with an MSc in Computer Science

An MSc degree can open doors to roles not usually accessible with just an undergraduate qualification. With expertise in both technical and practical areas, graduates have the chance to qualify for higher salaries and positions with greater responsibility. An MSc shows you have advanced training and problem-solving abilities. You'll stand out as a candidate in a job landscape that has a significant digital skills gap.

This increased earning potential often justifies the course fees, especially for those looking for greater job security in an industry seeking those with advanced and niche skill sets. You'll also acquire transferable skills and expertise that apply to careers in software development, cyber security, data analytics, and beyond. 

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Can an MSc in Computer Science help me change my career?

An MSc can be a great stepping stone for changing your current career path to one with higher demand. You may decide to move straight into the job market or continue your academic journey with postgraduate courses.

Young woman working on laptop at office cafe

Can I work and study at the same time?

If you decide on an online study format, you can work while you study. As a result, you'll be able to:

  • Fund your course more easily

  • Apply the skills you learn directly to your current job

  • Avoid any gaps in your CV

  • Continue to build up job experience as you gain a new qualification

You could even choose a dissertation topic that aligns with your workplace so that it's even more relevant.

Is an online MSc in Computer Science worth it?

Yes, for a variety of reasons. You'll gain technical knowledge that unlocks lucrative career pathways, just like in a brick-and-mortar university. It's also more flexible, giving you the choice of when, where and how you engage with the lecture materials.

This form of learning comes with reduced costs as you don't need to worry about living expenses or commuting to lectures. Walbrook's online Computer Science programme is ideal if you want an economical study option.

What you'll study in a Computer Science MSc

As with any postgraduate degree, you'll learn a mix of theory and practical skills. We've broken these down for you below.

Topics you'll study on an MSc Computer Science degree

So, what topics can you expect in a typical MSc Computer Science course? They should be broad enough to give you expert knowledge in a variety of areas. Here are some of the most common modules UK students are likely to end up studying.

  • Software engineering

    Learn how to build and maintain systems by using modern tech tools and understand the principles behind them. You'll study the full software development lifecycle, from planning and design to implementation, testing, deployment, and long-term maintenance. This may include:

    • Using version control systems to collaborate with teams.

    • Applying software development approaches and patterns to write cleaner, modular, and scalable code.

    • Practising test-driven development and automated testing to ensure reliability.

    • Understanding modern development environments and infrastructure concepts, including cloud-based systems.

    • Improving code quality through refactoring, documentation, and continuous integration.

    Overall, you'll gain the ability to engineer robust, maintainable, and efficient real-world software systems.

  • Programming and algorithmic thinking

    Use modern software to implement algorithm designs while learning why algorithms work and how to choose the right one. This can include:

    • Mastering multiple programming languages and understanding different paradigms (object-oriented, functional, concurrent).

    • Translating complex problems into step-by-step algorithmic solutions.

    • Implementing and analysing data structures such as trees, heaps, graphs, and hash maps.

    • Understanding how algorithms perform in terms of efficiency and resource use.

    • Using profiling and debugging tools to optimise performance and ensure correctness.

    This skill set enables you to write efficient code, solve complex problems, and build scalable systems.

  • Computer networks

    Focuses on computer architecture and network protocols, including essential concepts such as IP addressing and wireless networking, and how these systems work together to enable global communication. You'll likely learn:

    • The structure of networks and how data moves across them.

    • How routing, switching, and packet transmission operate in practice.

    • Core principles of network configuration and management.

    • How wireless networks function, including Wi-Fi standards, signal propagation, interference, and security considerations.

    • How modern networks handle performance, congestion, reliability, and error correction.

    This prepares you to understand and troubleshoot networked systems, design distributed applications, and work with cloud infrastructure.

  • Cyber security

    Understand core principles, such as vulnerability assessment and threat modelling, while learning how to secure systems in a world of evolving digital threats. You may explore:

    • How attackers exploit vulnerabilities in software, networks, and human behaviour.

    • Vulnerability assessment techniques, including scanning, analysis, and mitigation planning.

    • Threat modelling, where you identify potential attack vectors and design systems that minimise risk.

    • Fundamentals of cryptography, authentication, and secure communication protocols.

    • Strategies for building resilient architectures that maintain confidentiality, integrity, and availability.

    This equips you to identify weaknesses, strengthen defences, and build secure-by-design systems.

  • Research components and dissertation options

    Postgraduate master's programmes contain a dissertation module where you'll use research methods and skills to complete a project. You pick a topic, write up a thesis, and submit it. Depending on your learning route, the project could specialise in areas such as:

    • Machine learning algorithms

    • Large language models

    • Ethical hacking

    • Forensics

    Explore our core programme webpage for a breakdown of Walbrook's Computer Science MSc curriculum.

  • Computer Science MSc specialist routes

    MSc Computer Science degrees are often available in different programme routes, giving students the chance to choose a course that aligns with their interests and career goals, while still studying core computer science principles.

    At Walbrook, we offer several Computer Science MSc programmes, each designed around a distinct area of computing. Rather than choosing optional pathways later, you select the programme that best reflects what you want to focus on from the outset.

    In addition to our core MSc Computer Science degree, we offer the following programmes:

What skills will I learn?

Depending on the MSc Computer Science programme you choose, you'll develop advanced skills that may include:

1. A deep understanding of how computers actually execute programmes.

This includes the processes behind memory management and OS interactions. You'll know how to write multi-threaded or low-level code that efficiently uses system resources. This is an essential skill for system programming, cyber security, and performance optimisation.

2. The ability to use cloud-based systems for communication and coordination.

You'll move data across networks through routing, congestion control, and protocols (TCP, UDP, gRPC). You'll be aware of the following challenges of distributed computing: failures, latency, replication, and consensus algorithms.

3. The ability to choose the best solutions to complex problems with the use of advanced algorithms and data structures.

You'll understand the factors that can impact performance at scale. If a situation requires an algorithm, you'll be able to design one that suits the task. This could include graph processing, optimisation problems, scheduling, search, and pattern matching.

4. You'll be a master at programming and know how to write code in multiple languages (see "What languages will I learn?" section).

Your knowledge of syntax will go beyond single scripts and include the implementation of advanced features like concurrency constructs and memory management. You'll adapt quickly to new languages, so you can profile/debug complex systems.

5. An understanding of microservices vs monoliths, event-driven systems, and distributed architectures.

You'll have no issues building and maintaining large systems over time. After the course, you'll be equipped with critical architecture design skills.

6. Expertise in database transactions, distributed consistency, replication, sharding, and indexing strategies.

You'll design relational schemas that avoid redundancy and maintain integrity. You'll be able to analyse a situation and decide the right database type to utilise.

7. Depending on your chosen course specialisations, you may develop niche practical skills.

This could include the implementation of cyber security, AI, or cryptographic systems. Whilst standard MSc modules can delve into these, a specialisation offers the chance for further study and greater emphasis, which means you'll be better skilled at them.

8. Research skills, such as reading and critically evaluating scientific papers.

Many MSc courses conclude with a dissertation where you can decide on your research interests and delve into them through independent study. It is a key skill for those wishing to move on to an academic career. Even if you don't choose this pathway, research skills will help you to become a better problem solver.

9. A range of transferable skills, such as project planning, communication, teamwork, and ethics.

These will be relevant to plenty of industries outside of computing.

What programming languages will I learn?

An MSc in Computer Science teaches a mix of different languages to support the broad range of topics you’ll study, from algorithms and systems to AI, web development, and cyber security. These are the most commonly taught ones:

*If learning a certain programming language is important to you, always check the course details to confirm whether it’s part of the programme.

  • Python

    The most widely used language in modern computer science education because of its readability, large ecosystem, and strength in research and industry. It’s used for:

    • Machine learning and AI (TensorFlow, PyTorch)

    • Data science and analytics

    • Prototyping algorithms

    • Automation and scripting

    • Web development and backend services

  • Java

    Java is a core language in enterprise software, known for its portability, strong typing, and robust performance. It’s used for:

    • Large-scale backend systems

    • Android app development

    • Object-oriented programming concepts

    • Concurrent programming

  • JavaScript (and sometimes TypeScript)

    JavaScript is the foundation of web technologies, while TypeScript adds structure and type safety. It’s used for:

    • Web development (front-end and full-stack)

    • Interactive interfaces

    • Server-side development via Node.js

    • Cloud-native applications

  • C or C++

    These languages teach you how computers work at a low level: memory management, pointers, compilation, and performance optimisation. It's used for:

    • Systems programming

    • Operating system components

    • High-performance computing

    • Real-time and embedded systems

    • Game engines and graphics

  • SQL (Structured Query Language)

    SQL is essential for interacting with databases, a core component of most applications. It’s used for:

    • Querying, storing, and managing data

    • Designing relational database systems

    • Optimising data-driven applications

  • R (if you're focusing on data)

    R is powerful for statistical computing and visualisation. It’s used for:

    • Statistical modelling

    • Data analysis and research methods

    • Academic and scientific computing

What are the typical entry requirements for an MSc Computer Science?

You'll usually qualify for this course with a UK honours degree at 2:2 or above (or equivalent international qualification). You may also need evidence of your programming/computing skills.

International students may need to complete an English language qualification. There are tests such as IELTS and TOEFL, which can be used as proof of English language skills.

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Career opportunities post-MSc

When you graduate, you will have a range of career options available, from IT consultant to machine learning engineer, to data scientist. The average base salary for a computer scientist is £56,722 (£65,622 for London)*. Here are some specialised fields to choose from.

*All salaries listed from glassdoor.co.uk and accurate as of March 2026. 

Software engineer

  • Typical duties: Design, build, and maintain applications and systems.
  • Skills required: Software development, computer programming (Python, Java, C++), software design, testing, and version control.
  • Industries: Tech firms, finance, retail, healthcare, media.
  • Average base salary: £55,612 (£68,739 for London).
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Data Scientist

  • Typical duties: Analyse large datasets to extract insights, build predictive models, and support data-driven decision-making.

  • Skills required: Statistics, Python/R, machine learning, data visualisation, SQL.

  • Industries: Finance, marketing, government, healthcare, e-commerce.

  • Average case salary: £54,425 (£61,069 for London).

Artificial Intelligence Architect

  • Typical duties: Build and train AI models, design algorithms, and deploy intelligent systems.

  • Skills required: Deep learning, neural networks, natural language processing (NLP), Python, TensorFlow/PyTorch.

  • Industries: Tech automation, healthcare, robotics, fintech.

  • Average base salary: £62,488 (£61,092 for London).

Smartly dressed strategy lead pitching ideas for AI solutions and responsible AI adoption.

Cyber Security Systems Engineer 

  • Typical duties: Monitor systems for threats, implement security measures, conduct penetration testing, and ensure data protection.

  • Skills required: Network security, ethical hacking, cryptography, incident response, and risk management.

  • Industries: Finance, government, defence, enterprise IT.

  • Average base salary: £54,290 (£69,219 for London).

Cloud Engineer

  • Typical duties: Design, implement, and manage cloud infrastructure and deployment pipelines.

  • Skills required: AWS, Azure, Google Cloud, Docker, Kubernetes, CI/CD.

  • Industries: Tech companies, startups, enterprise IT, and SaaS platforms.

  • Average base salary: £53,064 (£58,220 for London). 

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UX Manager

  • Typical duties: Design user-friendly interfaces and ensure seamless human–tech interaction.

  • Skills required: UX/UI principles, design thinking, prototyping tools, and user testing.

  • Industries: App development, web design, product teams, accessibility tech.

  • Average base salary: £44,474 (£48,987 for London)

Senior IT consultant

Typical duties: Advise organisations on IT strategy, system implementation, and process improvement.

Skills required: Project management, systems analysis, communication, stakeholder engagement.

Industries: Management consulting, enterprise IT, logistics, and finance.

Average base salary: £59,394 (£66,889 for London)

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Want to become an expert in computer science?

Interested in a 100% online learning that will give you access to plenty of IT-focused career paths? Apply for Walbrook's Computer Science MSc course. You'll develop advanced computer science skills, get dedicated support from expert faculty, and enter the job market with in-demand expertise.

Why choose Walbrook?

  • We're 12th in the UK for career outcomes.

  • You get to choose between twelve start dates each year – and start your course within weeks.

  • Our programmes are built to serve high-demand skills gaps in industry.

Explore MSc Computer Science
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FAQs about studying an MSc in Computer Science

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