Graduate in 1 year full-time, or 2 years part-time.
No computer science degree required.
Ranked 12th for employment outcomes in the UK*
Total fees: £7,680 – pay in full or pay per module.
Graduate in as little as 1 year.
12 starts per year – start within weeks.
Competitive tuition – £7,680 total.
Learn AI, cloud, LLMs, cyber security.
89% of Walbrook graduates in skilled roles*
24/7 online Careers Hub and job portal.
Your route into tech, backed by real support.
No computing degree or experience required.
Flex between full and part-time.
Tech jobs are in high demand and aren’t just limited to the tech sector. Employers across almost every industry need people with computer science skills (2026 Tech Talent & Salary Report, Harvey Nash). This online MSc Computer Science prepares you to work with the tech shaping modern organisations now and in the future.
Why this master's degree?
Graduate in as little as 1 year, with skills to work with current and emerging tech.
Built for career changers ready to move into tech roles that pay 53% more than the UK median salary on average (CompTIA, 2026).
Created by experts in the City of London, at the centre of Europe’s largest tech and AI community (Dealroom Global Tech Ecosystem Index).
Location:
‣ 100% Online, distance learning
Start dates:
‣ Start any month
Duration:
‣ Full-time: 1 year or 13 months
‣ Part-time: 2 years
Tuition fees and funding:
‣ Total programme cost is £7,680
‣ Secure your place by paying for your first one or two modules, depending on whether you choose full-time or part-time study.
Entry requirements:
‣ 2:2 honours degree and above (or equivalent) in a subject other than computing.
‣ Alternatively, you can apply with 2+ years’ relevant professional experience in one or more computing-related roles.
Full-time: 1 year or 13 months | Part-time: 2 years
£7,680
in total
You'll study 10x 15-credit modules and 1x 30-credit Research Project module in total (approx. 17-30 hrs/week).
Full-time: 1 year or 13 months | Part-time: 2 years
£640
per 15-credit module
You'll study 10x 15-credit modules. Your final 30-credit Research Project module will be charged at £1,280.
Total tuition fees: £7,680. You can pay for your MSc Computer Science degree per module, or in full before you start your studies.
If you choose to pay in full, you’ll receive a 15% reduction on your total tuition fees.
If you choose to pay per module, your payment schedule will depend on whether you choose full or part-time study:
If you’re a UK student, you may be eligible for a government master's loan from Student Finance England for our online master's degrees. The Student Loans Company (SLC) will pay the loan directly to you after you start your studies. So, it’s your responsibility to make your module payments to us directly. Find out more about funding your Walbrook master's with a UK master's loan >
Want to see exactly when payments are due? Open the payment schedule for our next two start dates below.
September 2026 start date
October 2026 start date
Alumni receive a 10% tuition fee discount. If you’re eligible, our enrolment team can provide your personalised payment schedule.
Thinking about a master's, but don’t have an undergraduate degree in computer science? We've designed our master's degree for people with all levels of tech experience, and with support built in, so you're ready to take the next step.
To apply, you’ll need to meet the following entry requirements:
A UK honours degree at 2:2 or above (or equivalent international qualification) in a subject other than computing.
Or
2+ years’ relevant professional experience in one or more computing-related roles.
Thinking of transferring institutions or have you studied before? You can apply to transfer up to 60 credits towards your master's degree. Please note that credits can’t be awarded for the research module of this programme.
These credits must be relevant, current, and aligned with the subject matter of your chosen MSc Computer Science pathway.
Review our recognition of prior learning process.
Speak to our Enrolment Team.
Submit a recognition of prior learning form alongside your application.
Overseas qualifications may be accepted and will be subject to evidence of equivalency normally verified through ECCTIS (UK ENIC).
If English is not your first language, you’ll be asked to provide proof of your English language proficiency. Ideally, your test should be no more than two years old when your course begins. If your test is older, please still apply and our admissions team can review your circumstances.
Alternatively, you may be accepted if you have previously studied in English at an appropriate level and attended a recognised institution.
IELTS
Evidence of a score of IELTS Level 6.0 or above with no element below 5.5.
TOEFL iBT®
Evidence of a score of 79 overall (with 18 in reading, 17 in listening, 20 in speaking and 21 in writing).
Duolingo
Evidence of an overall minimum score of 110 with no component score below 100.
Cambridge Certificate of Advanced English
Evidence of a score of 170 overall, with 160 in each component.
I would say just go for it. I am currently in full time employment, so being able to study at my own time and being able to be in control of my own studying was really important, and Walbrook provided that as part of their online degrees.
Aleksandra Anastasova
Walbrook online degree student
I actually wanted to say how happy I am that I’m studying on this programme and how lucky I feel. The programme is very well structured, the study materials are solid, and it has helped me develop my skills and knowledge significantly. There are many online programmes available, but finding one that combined academic quality, accessibility and affordability was very important to me.
Marzie Hashemi
Walbrook online MSc Computer Science student
Ready to build computer science skills you can start applying as you study, while developing the judgement to keep pace with where the industry is heading? We’ll prepare you to design software and cloud-based solutions, develop and manage databases, and configure secure networks, all in the context of areas where businesses are crying out for skills in: AI, data, and cyber security.
During our MSc Computer Science degree, you’ll get to work on practical problems around these emerging technologies. Most importantly, we want you to strengthen the critical thinking and problem-solving skills that will help you stay relevant as tech changes. You’ll finish with an independent research project shaped around your own workplace, interests, or career goals.
On this online Computer Science MSc programme, you’ll study a series of carefully designed modules. With flexible monthly starts, you’ll join the next available module and study alongside a cohort of computer science master's students learning the same subject at the same time.
Software Engineering
Design, build, and evaluate software systems that solve real-world problems. Learn how to apply software development life cycles, testing methods, and agile practices, and explore how effective engineering decisions underpin quality, security, and maintainability.
Modern Database Systems
Gain the technical knowledge to design, implement, and manage modern databases using industry standard Tools such as MariaDB and MongoDB. You’ll work with relational and non-relational models, optimise queries, and understand how data storage choices impact performance, scalability, and security.
Fundamentals of Artificial Intelligence (AI)
Understand the core ideas behind AI and machine learning – and how they’re strategically applied to common business problems. You’ll experiment with tools to solve realistic problems, interpret results, and weigh up the commercial and ethical impact of using AI.
Information Systems Development
Analyse business needs and create software systems that meet them, using HTML, CSS and JavaScript programming languages. This module blends computer science theory with practical design, giving you the skills to develop secure, user-centred systems in complex organisational environments.
Computer Networks
Understand how computer systems communicate. Explore network design, protocols, and performance management, then apply your skills in practical settings to configure and troubleshoot networks for efficiency and resilience.
Cloud Computing
Learn to design and deploy solutions using cloud platforms. You’ll explore virtualisation, containerisation, cloud security, and cost optimisation, preparing you to work with cloud-native architectures across industries.
Project Management and the Computing Professional
Develop the leadership skills to manage technology projects successfully. Cover risk management, resource planning, and stakeholder communication, and learn to guide teams to deliver high-quality results on time and within budget.
Fundamentals of Cyber Security Practice
Gain practical experience in identifying vulnerabilities and defending systems. From encryption and access control to incident response, you’ll learn how to protect computer systems and data against evolving cyber threats.
Large Language Models and Prompt Engineering
Step into one of computing’s fastest-moving fields. Understand how large language models work, apply prompt engineering techniques, and explore their potential across data science, automation, and problem-solving tasks.
Research Development
Build the research skills you need for your final project. You’ll refine your research methods, review relevant literature, and prepare a robust proposal for a topic that reflects your career goals or research interests.
Research Project
Conduct your own research in an area that inspires you – from operating systems and data structures to machine learning, cyber security, or computer architecture. This final research project is where you bring together your technical expertise, analysis, and innovation to address a real world problem.
Your module schedule depends on the month you start, and whether you study full or part-time. You'll study each module once, completing all taught modules before moving on to your final two modules: Research Development and Research Project.
|
Module start date |
Module name |
Assessment details |
| 7 September 2026 | Large Language Models and Prompt Engineering |
1. Graded discussion board – 10% 2. Critical review report – 30% 3. Technical report – 60% |
| 5 October 2026 | Project Management and the Computing Professional |
1. Group presentation – 20% 2. Group report – 30% 3. Individual systems proposal – 50% |
| 2 November 2026 | Fundamentals of Artificial Intelligence |
1. Individual report – 30% 2. Individual assignment – 20%% 3. Individual report – 50% |
| 7 December 2026 | Modern Database Systems |
1. Graded discussion board – 10% 2. Presentation – 20% 3. Technical implementation and Query report – 70% |
| 4 January 2027 | Cloud Computing |
1. Graded discussion board – 10% 2. Assignment 1 – 30% 3. Assignment 2 – 60% |
| 1 February 2027 | Information Systems Development |
1. Individual written assignment – 20% 2. Design diagrams and narrative – 20% 3. Technical report with implementation evidence – 60% |
| 1 March 2027 | Software Engineering |
1. Graded discussion board – 10% 2. Systems proposal report – 30% 3. System design report – 60% |
| 5 April 2027 | Computer Networks |
1. Graded discussion board – 10% 2. Technical report 1 – 30% 3. Technical report 2 – 60% |
| 3 May 2027 | Fundamentals of Cyber Security Practice |
1. Graded discussion board – 10% 2. Technical report 1 – 30% 3. Technical report 2 – 60% |
| 7 June 2027 | Large Language Models and Prompt Engineering |
1. Graded discussion board – 10% 2. Critical review report – 30% 3. Technical report – 60% |
| 5 July 2027 | Project Management and the Computing Professional |
1. Group presentation – 20% 2. Group report – 30% 3. Individual systems proposal – 50% |
| 2 August 2027 | Fundamentals of Artificial Intelligence |
1. Individual report – 30% 2. Individual assignment – 20%% 3. Individual report – 50% |
| 6 September 2027 | Modern Database Systems |
1. Graded discussion board – 10% 2. Presentation – 20% 3. Technical implementation and Query report – 70% |
| 4 October 2027 | Cloud Computing |
1. Graded discussion board – 10% 2. Assignment 1 – 30% 3. Assignment 2 – 60% |
| 1 November 2027 | Information Systems Development |
1. Individual written assignment – 20% 2. Design diagrams and narrative – 20% 3. Technical report with implementation evidence – 60% |
| 6 December 2027 | Software Engineering |
1. Graded discussion board – 10% 2. Systems proposal report – 30% 3. System design report – 60% |
| 3 January 2028 | Computer Networks |
1. Graded discussion board – 10% 2. Technical report 1 – 30% 3. Technical report 2 – 60% |
| 7 February 2028 | Fundamentals of Cyber Security Practice |
1. Graded discussion board – 10% 2. Technical report 1 – 30% 3. Technical report 2 – 60% |
| 6 March 2028 | Large Language Models and Prompt Engineering |
1. Graded discussion board – 10% 2. Critical review report – 30% 3. Technical report – 60% |
| 3 April 2028 | Project Management and the Computing Professional |
1. Group presentation – 20% 2. Group report – 30% 3. Individual systems proposal – 50% |
| 1 May 2028 | Fundamentals of Artificial Intelligence |
1. Individual report – 30% 2. Individual assignment – 20%% 3. Individual report – 50% |
| 5 June 2028 | Modern Database Systems |
1. Graded discussion board – 10% 2. Presentation – 20% 3. Technical implementation and Query report – 70% |
| 3 July 2028 | Cloud Computing |
1. Graded discussion board – 10% 2. Assignment 1 – 30% 3. Assignment 2 – 60% |
| 7 August 2028 | Information Systems Development |
1. Individual written assignment – 20% 2. Design diagrams and narrative – 20% 3. Technical report with implementation evidence – 60% |
Final research modules
|
Module name |
Assessment details |
| Research Development |
1. Literature review – 20% 2. Project plan and enhanced literature review – 80% |
| Research Project |
1. Thesis – 80% 2. Portfolio – 20% |
Across your MSc, you’ll complete a mix of assessments designed to stretch your thinking, strengthen your communication skills, and bring your learning to life. Each module (except your final research modules) includes three assignments – helping you build confidence, test ideas and apply theory in more than one way.
Here’s a snapshot of the main types of assessments you’ll complete across your core modules.
Technical report: produce a detailed, well-structured analysis of a technical problem, solution, or system, often with screenshots, code snippets, or configuration evidence.
Design or implementation project: plan, build, and document a working prototype, model, or system using industry-standard tools and practices.
Case study analysis: evaluate a real or simulated scenario, identify challenges, and propose solutions grounded in computing principles and current best practice.
Discussion board contribution: engage in structured, tutor-led online debates, demonstrating critical thinking, problem-solving, and collaboration.
Portfolio: compile artefacts such as code, diagrams, system models, and explanatory notes to showcase your technical and professional skills.
Ethics or strategy briefing paper: advise an organisation, client, or committee on a complex technology issue, balancing technical, ethical, and commercial perspectives.
Presentation or video demonstration: explain your project or technical findings in a recorded or live presentation, sometimes paired with a live or narrated system demo.
Research thesis: complete an in-depth research project that tackles a significant computing challenge, presenting your findings, methodology, and technical recommendations in a formal dissertation.
*Please note, module schedule and assessments are subject to change.
Alongside our core MSc Computer Science degree, we offer specialist computer science programmes – so you can develop the expertise needed for your specific career goal.
MSc Computer Science with Artificial Intelligence
There were 68,000 more UK job postings requiring AI skills in 2025 than in 2024 (2026 AI Jobs Barometer, PwC).
MSc Computer Science with Cyber Security
UK cyber security jobs reached a record 69,600 in 2026, up 3% year on year (Cyber Security Sectoral Analysis 2026, UK Gov).
MSc Computer Science with Data Science
Big Data Specialist is the fastest growing job role (Future of Jobs Report 2025, World Economic Forum).
MSc Computer Science with Software Engineering
Software engineering/development is the UK's largest tech skills shortage (2026 Tech Talent & Salary Report, Harvey Nash).
Studying online with Walbrook is designed to be flexible and engaging, giving you access to everything you need to succeed:
Full-time students should set aside around 30 hours per week.
You'll start a new 8-week module each month, so while you’re beginning your learning in one module, you’ll be preparing for assessment in the other.
Part-time students should set aside around 17 hours per week.
You'll start a new 8-week module every other month, making it easier to fit your studies around work, family and everyday life.
Your self-study will include:
Engaging programme content delivered via our online study platform.
Case studies and applied tasks that link theory to real business scenarios.
Preparation for assessments including reports, proposals and project work.
Our support is built around you and your success. From enrolment to graduation, you’ll have access to digital academic tools that help you study in a way that works for you, and people who are here to help.
You'll benefit from:
Digital learning materials including key readings, videos, and research resources.
Access to a digital library to support your independent research.
Support to help you stay on track and direct you to the right teams when needed.
Applying to study an online master's at Walbrook is simple, and you can do it directly.
Review our entry requirements to make sure you meet them.
Apply through our secure online application portal and upload your documents as you go.
By paying for your first module (part-time) or first two modules (full-time).
Any questions about our online degrees or studying at Walbrook? Our Enrolment Advisors are here to help.
Our office is open Monday to Friday from 8.00am to 5.30pm UK time (excluding UK public holidays).
Tech roles pay 53% more than the UK median salary on average, and UK tech employment has grown by almost 145,000 jobs since 2020 (CompTIA State of the Tech Workforce, 2026).
If you're planning to enter this high-paying industry for the first time, or demonstrate your experience in tech with a master's degree, you don't need a computer science background to study a Walbrook master's degree. Across software, cloud, AI, networks, databases and cyber security, you’ll develop practical technical skills alongside the critical thinking and problem-solving to keep adapting as technology changes. So, when you graduate, you’ll be ready to take your next step in tech: whether that's as a career changer, or as someone working towards senior roles in the industry.
UK annual permanent salaries sourced from 2026 Tech Talent & Salary Report, Harvey Nash.
Average UK salary: £70,000
Design, develop, test and improve software systems that solve user and business problems. As AI and large language models (LLMs) become more involved in software development, engineers also need the judgement to assess new tools while maintaining reliable, secure systems. This MSc develops your understanding of software design and development, web applications, and testing, while exploring emerging trends and the use of LLMs in software development.
Average UK salary: £70,000
Average UK salary: £90,000
Build, deploy, manage and troubleshoot the cloud infrastructure and services organisations rely on. As cloud environments evolve, engineers increasingly work across virtualisation, networking, containers and microservices, while keeping infrastructure secure and dependable. Through our MSc, you’ll gain practical experience of cloud-based solutions, including configuring virtual infrastructure, networking and containerised applications, alongside wider skills in networks and cyber security.
Average UK salary: £90,000
Average UK salary: £130,000
Be the person that oversees how an organisation uses their tech, making sure its systems and infrastructure support wider business goals. AI, cloud computing and cyber security are critical to almost every modern organisation, which means IT Directors need broad technical understanding to make important decisions around new opportunities and risks. This MSc builds knowledge across these areas – useful foundations for experienced professionals looking for career development opportunities to progress to senior tech leadership.
Average UK salary: £130,000
With an MSc Computer Science degree, you can work as a software developer, IT project manager, cloud architect, or in specialist roles in machine learning, data science, and cyber security. This postgraduate qualification gives you technical knowledge in areas like software engineering, data mining, and programming, opening pathways to high-demand tech careers or further postgraduate study.
An MSc Computer Science programme boosts your career prospects by giving you skills in software engineering, cloud computing, and machine learning that are in high demand worldwide. Graduates are prepared for technical, management, and research roles in the UK and internationally.
This Computer Science MSc programme is designed for future postgraduate students who want to transition into tech or professionals seeking to advance into roles in software engineering, data science, machine learning, or cyber security. The course builds from your existing knowledge, introducing key concepts in computing before progressing to advanced topics and practical applications.
We typically ask for a first undergraduate degree, 2:2 at honours level. However, we will consider students with 2+ years’ relevant professional experience in one or more computing-related roles. You can find further information about our entry requirements above.
You don’t need a specific computer science or software engineering undergraduate degree to apply for our postgraduate programmes in computer science. This course introduces you to key concepts in computing – such as programming, data structures, and mathematics – as well as providing specialised modules like artificial intelligence, cyber security, and cloud computing. Strong problem-solving skills and motivation are important.
To get the best learning experience, you’ll need a reliable computer, internet, and audio setup. We recommend a laptop or desktop with at least an Intel i5 processor, 8GB RAM, and 500GB storage (Windows is our primary environment, though you can use Mac or Linux). A stable internet connection (5Mbps download, 2Mbps upload), webcam, and microphone are essential, and we strongly suggest using headphones for online sessions.
For smoother study, extra resources like a second monitor, noise-cancelling headphones, 16GB+ RAM, SSD storage, and an external hard drive are recommended. Walbrook provides access to the required software, though some programmes may ask you to set up a VPN. Our technical support is Windows-based, but you’re welcome to work on Linux or macOS if you prefer.
You’ll complete a mix of written assignments, technical reports, and group projects designed to give you practical experience in solving real world problems. Modules like software engineering and cloud computing include project-based tasks, while research modules prepare you for successful completion of your final project. Further details can be found in the programme details section of this page.
Yes – this computer science online master’s is open to international students. If you’re from outside a majority English speaking country, you’ll need to meet our English language requirements with a recognised English language qualification such as IELTS, or an international equivalent. We provide support throughout your studies, 100% online, wherever you’re based.
Your MBA is delivered through an online study platform, where you’ll study either one or two modules at a time depending on your study mode. Full-time students take two modules in parallel (with a short gap between start dates), while part-time students complete one module at a time.
Here’s what you can expect:
Weekly learning units to guide your progress
Readings and case studies
Videos and narrated presentations (mini-lectures)
Online discussion forums
Quizzes and tasks to check your understanding
You’ll have the freedom to plan your study time around work and life – but within a guided schedule that helps you stay focused, connected, and on track to succeed.
Yes. You can complete this master's degree in as little as 1 year when you study full-time, depending on your start date.
A few full-time start dates follow a 13-month structure, instead of 12 months. When your final taught module is one that directly feeds into your research – like Research Methods or one of two modules directly related to your programme topic – we want to make sure you have the time to complete that module in full, before you move into your final research project.
We can confirm the exact duration for your chosen start date when you request information about a programme. Or, if you'd prefer to study over a longer period, you can also study part-time over 2 years.
Yes, our MSc Computer Science degree is an excellent foundation for doctoral study. You'll be taught by research-active staff with PhDs who understand the pathways to doctoral research and can offer guidance as you plan your next steps. What’s more our programme builds your research foundations and practical skills in computer science, giving you a strong platform for postgraduate research.
Many of our students bring professional backgrounds in tech or related fields, which is also valuable. If you don't have that experience, or want to develop your research ideas further before applying, you might consider an MRes or additional professional experience as an additional step after your MSc, to strengthen your research background further.
Graduate in as little as 1 year, or flex to part-time.
Ranked 12th for employment outcomes in the UK*
Total fees: £7,680 – pay in full or pay per module.
*National Graduate Outcomes Survey, 2024
