Online MSc Computer Science with Artificial Intelligence | Walbrook

Get your Master’s in Computer Science, the Walbrook Way

Study 100% online, from anywhere
- Graduate in just 14 months.
- Start within weeks with monthly start dates.
- Competitive tuition – £7,680 total.
12th in UK for employment and further study
- 89% of Walbrook graduates in skilled roles*
- Curriculum driven by emerging technologies.
- Career support and events, 24/7 job portal.
For professionals balancing work, home and life
- Study flexibly within a weekly structure.
- Flex between full and part-time.
- Built for digital from day one.

MSc Computer Science with Artificial Intelligence online degree

AI is reshaping global industries, and UK AI job postings are growing 3.6 times faster than other roles (PwC UK’s 2024 AI Jobs Barometer). Our MSc Computer Science with Artificial Intelligence degree gives professionals the technical depth and strategic insight to lead in a sector valued at £72.3bn (Business.gov.uk) and accelerating fast.

Why this master's degree?

Step into AI roles growing faster than any UK sector.
For innovative professionals ready to architect intelligent systems and lead digital transformation.
Designed in London, the UK’s AI and tech innovation capital.

Meet Prof. Alastair Irons, Academic Lead for Computer Science

Your online MSc Computer Science at a glance

Location:

‣ 100% Online, distance learning

Start dates:

‣ Start any month

Duration:

‣ Full-time: 14 months

‣ Part-time: 24 months

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 a non-honours degree and 2 years’ professional experience in one or more computing-related roles.

Tuition fees for your online Master of Computer Science with Artificial Intelligence degree

The prices shown below are for our online MSc Computer Science degrees only. They are inclusive of your first module(s) payment and don't include any reductions.

Total programme cost
Full-time: 14 months | Part-time: 24 months

£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).
Apply now
Cost per module
Full-time: 14 months | Part-time: 24 months

£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.
Apply now

Total tuition fees: £7,680.  You can pay for your MSc Computer Science with Artificial Intelligence 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 apply as a full-time student, you’ll need to pay for two modules upfront to confirm your place, then continue to pay in two-module instalments as you progress.
If you apply as a part-time student, you’ll pay for one module upfront, then continue to pay per module before each one begins.

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.

April 2026 start date
- Full-time payment schedule – April 2026
- Part-time payment schedule – April 2026
May 2026 start date
- Full-time payment schedule – May 2026
- Part-time payment schedule – May 2026
Alumni receive a 10% tuition fee discount. If you’re eligible, our enrolment team can provide your personalised payment schedule.

Entry requirements for your online MSc Computer Science with Artificial Intelligence degree

Every application is different. If you’re not sure whether you meet the MSc Computer Science with Artificial Intelligence entry requirements, or you have any questions, contact us for advice.

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.
If you hold a non-honours degree and 2 years’ professional experience in one or more computing-related roles, you’re still encouraged to apply. We’ll review your academic and professional background on a case-by-case basis. Applicants without a first degree but with more than two years’ relevant professional experience in computing-related roles may be considered.
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 isn't your first language, you’ll be asked to provide proof of your English language proficiency in one of the following forms. 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).
Trinity College London Integrated Skills in English (ISE)
- Evidence of a score of ISE II with distinction in each skill.
Cambridge Certificate of Proficiency or Cambridge Certificate of Advanced English
- Evidence of a score of 170 overall, with 160 in each component.

My favourite part of studying with Walbrook is definitely the flexibility that the online degree offers. I think without that there wouldn't have been away for me to achieve this level of qualification. I haven't felt a massive change in my routine and don't feel like I have to give up much either to fit the studying in.

Dean Piper
Walbrook online degree student

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

MSc Computer Science with Artificial Intelligence programme details

This online MSc Computer Science with Artificial Intelligence builds technical knowledge and practical skills in both core computing concepts and AI applications.

You’ll develop a deep and systematic understanding of areas such as machine learning techniques, natural language processing, and data analytics, while gaining the practical skills to design, implement, and evaluate intelligent systems. You’ll work across software engineering, cloud computing, database systems, and information systems development, applying programming languages and problem-solving skills to real world problems. You’ll also complete a research project, investigating your own research proposal in areas such as machine learning algorithms, large language models, or data mining.

On this online Computer Science with Artificial Intelligence 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.
- 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.
- Principles of Machine Learning
  Dive into the algorithms that power predictive models. You’ll programme, train, and test machine learning systems using the industry standard Python programming language, applying them to real datasets to solve problems in areas like forecasting, classification, and pattern detection.
- Large Language Models and Prompt Engineering
  Step into one of computing’s most dynamic frontiers. Discover how large language models (LLMs) are built with reinforcement learning, master prompt engineering techniques, and explore the power of open-source LLMs across data science, automation, and intelligent deep learning and problem-solving.
- Software Engineering
  Master the principles and practices that make complex software systems reliable, maintainable, and scalable. You’ll use established development approaches, learn how to handle complexity, and see how new trends are influencing the way software is built.
- Modern Database Systems
  Build high-performance databases that power intelligent applications. Learn to design relational databases and NoSQL systems, optimise queries for speed and efficiency, use industry standard Tools such as MariaDB and MongoDB, and make strategic storage decisions that support scalability and security.
- Information Systems Development
  Analyse organisational needs and develop user-centred, secure information systems, using HTML, CSS and JavaScript programming languages. Integrate computer science theory with practical design and development methods to build information systems that work seamlessly in challenging organisational contexts.
- Computer Networks
  Study protocols, architectures, and performance management, and learn how to design, configure, and optimise secure, reliable networks – and gain the skills to troubleshoot them under pressure.
- Cloud Computing
  Deploy intelligent operating systems in the cloud with confidence. Explore service and deployment models, virtualisation, networking, and containerisation, and address security and performance considerations.
- Project Management and the Computing Professional
  Lead AI and computing projects from idea to delivery. Master project planning, risk management, and communication strategies that keep technical teams aligned and ensure successful completion of a project.
- Research Development
  Transform your ideas into a focused, actionable plan. Strengthen your research methods, refine your proposal, and evaluate literature with a critical eye – setting the stage for a final research project that’s both ambitious and achievable.
- Research Project
  Conduct independent research in a topic that matters to you – for example, large language models, data analytics, or machine learning. You’ll demonstrate original thinking, critical evaluation, and the ability to deliver practical solutions to your research proposal.

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.

Full-time students: start a new 8-week module every month.
Part-time students: start a new 8-week module every other month.

Module start date	Module name	Assessment details
6 April 2026	Cloud Computing	1. Graded discussion board – 10% 2. Assignment 1 – 30% 3. Assignment 2 – 60%
4 May 2026	Information Systems Development	1. Individual written assignment – 20% 2. Design diagrams and narrative – 20% 3. Technical report with implementation evidence – 60%
1 June 2026	Software Engineering	1. Graded discussion board – 10% 2. Systems proposal report – 30% 3. System design report – 60%
6 July 2026	Computer Networks	1. Graded discussion board – 10% 2. Technical report 1 – 30% 3. Technical report 2 – 50%
3 August 2026	Principles of Machine Learning	Assessment details TBC
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 – 50%
3 May 2027	Principles of Machine Learning	Assessment details TBC
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 – 50%
7 February 2028	Principles of Machine Learning	Assessment details TBC
6 March 2028	Large Language Models and Prompt Engineering	1. Graded discussion board – 10% 2. Critical review report – 30% 3. Technical report – 60%

You can register for your final research modules once you have studied at least seven of the nine taught 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 dissertation: complete an in-depth research project that tackles a significant computing challenge, presenting your findings, methodology, and technical recommendations in a formal dissertation.

How you'll study

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.

Apply today – start your MSc Computer Science with Artificial Intelligence degree within weeks

Applying to study an online master's at Walbrook is simple, and you can do it directly.

1. Check programme entry requirements
Review our entry requirements to make sure you meet them.
2. Complete your application online
Apply through our secure online application portal and upload your documents as you go.
3. Accept your unconditional offer
By paying for your first module (part-time) or first two modules (full-time).

Contact us about our online degrees

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).

contact-image-enrolment-team

Career opportunities: MSc Computer Science with Artificial Intelligence

The UK’s tech sector is booming – now worth $1.2 trillion (Tech Nation Report 2025) and growing faster than anywhere else in Europe. AI is driving much of that growth. The UK is already the third-largest AI market in the world, valued at £72.3bn in 2024 (Business.gov.uk), and with AI-related job posts growing 3.6 times faster than all other UK jobs (PwC UK’s 2024 AI Jobs Barometer), there’s never been a better time to build your expertise.

An online MSc Computer Science with Artificial Intelligence degree puts you right in the middle of this opportunity. You’ll graduate with hands-on experience in machine learning algorithms, data analysis, cloud computing, and software development, plus the critical understanding to apply them in an organisation.

Senior AI Architect
Average UK salary: £76,435

Senior AI Architect: job description

Lead the design and integration of advanced AI systems into complex computer-based systems. You’ll define architectures that combine machine learning tools, scalable data structures, and data analytics pipelines to deliver secure, high-performance solutions. Modules such as Cloud Computing, Machine Learning: Principles and Programming, and Large Language Models and Prompt Engineering provide the advanced concepts and technical leadership skills needed for this role.

Average UK salary: £76,435
Machine Learning Engineer
Average UK salary: £67,721

Machine Learning Engineer: job description

Develop, test, and deploy machine learning algorithms that power intelligent applications. You’ll work with large datasets, apply deep learning techniques, and refine models for accuracy and efficiency. Your practical skills from Fundamentals of Artificial Intelligence (AI), Modern Database Systems, and Machine Learning: Principles and Programming will prepare you to turn complex theory into working, scalable solutions.

Average UK salary: £67,721
AI Developer
Average UK salary: £44,611

AI Developer: job description

Build and maintain AI-driven software that solves real world problems. As an AI developer, you’ll integrate natural language processing, data analytics, and automation into robust applications, drawing on your knowledge from Software Engineering, Information Systems Development, and Large Language Models and Prompt Engineering. You’ll combine programming expertise with a comprehensive understanding of AI to deliver innovative, reliable tools.

Average UK salary: £44,611

FAQs: Why study for an MSc Computer Science with Artificial Intelligence degree?

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.
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.
This master's programme combines core computer science topics with advanced artificial intelligence modules. You’ll study software engineering, deep learning algorithms, deep learning, and cloud computing, as well as specialist areas like natural language processing and large language models. The course content blends theoretical knowledge with practical skills so you can tackle real world problems with confidence.
No – you don’t need a degree in computer science to join this programme. Each programme module introduces key concepts early, then develops them into advanced topics like big data analytics, computer architecture, and system development. You’ll have the chance to gain knowledge and develop skills in programming, data analysis, and AI methods as you progress.
Yes – you’ll explore natural language processing in the Large Language Models and Prompt Engineering module. This is where you’ll gain hands-on experience in prompt design, text processing, and model evaluation. You can also choose to investigate NLP, human factors, or computer vision further in your independent research project.
Throughout the Master's in Computer Science with Artificial Intelligence programme, you’ll work on software development projects, build secure cloud-based solutions, and apply machine learning algorithms to data. You’ll also strengthen problem solving abilities and learn how to design, test, and deploy intelligent systems that work in practical settings. These skills are highly relevant in a rapidly evolving field like AI.
Graduates can move into roles such as AI developer, machine learning engineer, or senior AI architect. The broad knowledge you’ll gain – from theoretical concepts to practical aspects of system design – can also lead to potential career paths in software engineering, web development, data analysis, and cloud computing. The programme equips you to work across industries in one of the fastest-growing areas of tech.

The Walbrook Way: Digital from day one. Designed for your career.

Graduate in 14 months full-time, or flex to part-time.
Ranked 12th for employment outcomes in the UK*
Total fees: £7,680 – pay in full or pay per module.

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