Online MSc Computer Science with Data Science | Walbrook

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

Study 100% online, from anywhere
- Graduate in as little as 1 year.
- 12 starts per year – start within weeks.
- Competitive tuition – £7,680 total.
Graduate with tech skills in high demand
- Learn data, machine learning and AI.
- 89% of Walbrook graduates in skilled roles*
- 24/7 online Careers Hub and job portal.
For professionals balancing work, home and life
- Your supported route into data science.
- No computing degree or experience required.
- Flex between full and part-time.

MSc Computer Science with Data Science online degree

The World Economic Forum ranks Big Data Specialists as the fastest-growing job role worldwide (Future of Jobs Report 2025). This online MSc is designed to prepare you for the roles employer's are hiring for. Develop skills across data analytics, machine learning and computer science, and the critical thinking to adapt as data, AI and technology change in the future.

Why this master's degree?

Graduate in as little as 1 year, with a skillset to work in current and emerging data roles.
Built for career changers ready to turn an interest in data into technical expertise for a fast-changing field.
Created by experts in the City of London, at the centre of Europe’s largest tech and AI community (Dealroom Global Tech Ecosystem Index).

Meet Prof. Alastair Irons, Academic Lead for Computer Science

Your online MSc Computer Science with Data Science at a glance

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.

Tuition fees for your online Master of Computer Science with Data Science degree

Total programme cost
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).
Apply now
Cost per module
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.
Apply now

Total tuition fees: £7,680.  You can pay for your MSc Computer Science with Data 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 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 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’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
- Full-time payment schedule – September 2026
- Part-time payment schedule – September 2026
October 2026 start date
- Full-time payment schedule – October 2026
- Part-time payment schedule – October 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 Data Science degree

New to tech or data? 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.

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 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

MSc Computer Science with Data Science programme details

Build the data science and computer science skills employers need now, while developing the judgement to keep adapting as data tools change. Learn how data is stored and managed, how to gather and analyse it, and how statistical and machine learning techniques can turn it into useful insight.

On this MSc Computer Science with Data Science degree, you'll work with real-world data, prepare datasets and using them to build, test and evaluate machine learning models. You’ll also explore statistical analysis, regression and optimisation to support evidence-based decision-making, while learning to recognise uncertainty, limitations and bias in your findings. You’ll finish with an independent research project shaped around your own workplace, interests or career goals.

On this online MSc Computer Science with Data Science 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.
- Business Data Analytics
  Learn how to interpret and present complex datasets to support better decision-making. Explore data analytics techniques, data visualisation, and predictive modelling, and understand how to align analytical approaches with business goals.
- Machine Learning: Principles and Programming
  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.
- 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
  Develop the skills to design, implement, and manage databases for large-scale data projects, using industry standard Tools such as MariaDB and MongoDB. Learn to design and manage relational and NoSQL databases, optimise performance, and make smart storage choices that boost the scalability, speed, and security of data models.
- 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 requirements and create systems that manage and process data effectively, using HTML, CSS and JavaScript programming languages. Blend theory with design practice to build secure, user-focused solutions that work in challenging organisational environments.
- Computer Networks
  Explore how data moves between systems and how to keep it secure in transit. Study network architecture, protocols, and performance optimisation, and gain the practical skills to configure and monitor networks.
- Cloud Computing
  Understand how to use cloud computing platforms for storing, processing, and analysing data. Explore virtualisation, networking, and containerisation, and address the benefits, challenges, and security needs of cloud environments.
- Project Management and the Computing Professional
  Develop the leadership and project management skills to guide data-driven projects to successful completion. Learn about systems modelling, risk management, resource planning, and effective communication.
- Research Development
  Prepare for your final project by refining your research question, exploring research methodologies, and evaluating relevant literature. Address the ethical and professional considerations of your chosen topic.
- Research Project
  Investigate a data science topic that matters to you – from big data analytics to data mining or knowledge discovery. Demonstrate use of research methods, original thinking, critical understanding, and the ability to create data-driven solutions to answer your research questions.

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
7 September 2026	Business Data Analytics	1. Presentation – 20% 2. Written assignment – 30% 3. Written assignment – 50%
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	Principles of Machine Learning	Assessment details TBC
7 June 2027	Business Data Analytics	1. Presentation – 20% 2. Written assignment – 30% 3. Written assignment – 50%
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	Principles of Machine Learning	Assessment details TBC
6 March 2028	Business Data Analytics	1. Presentation – 20% 2. Written assignment – 30% 3. Written assignment – 50%
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 and design a solution (or document one you've built) using industry-standard tools and practices, from data models to system architecture.
- 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: reflect on your development as a computing professional, capturing the knowledge, skills and competencies you've built and how they relate to your career goals.
- 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 Data Science 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 Data Science

Within the tech sector, the World Economic Forum’s Future of Jobs Report 2025 ranks Big Data Specialists as the fastest-growing role worldwide, creating strong demand for experts who can turn complex datasets into actionable insights.

If you're exploring a career change into the data sector, or you just want to demonstrate your advanced data skills with a master's degree – you don't need a computer science background to study a Walbrook master's degree. You’ll build core computer science knowledge alongside practical skills in data analysis, statistics, and machine learning – as well as the critical thinking to judge what the data really tells you as tools and techniques evolve. So, when you graduate, you’ll be ready to take your next step into data science or, if you already work with data or technology, to work towards more senior roles.

UK annual permanent salaries sourced from 2026 Tech Talent & Salary Report, Harvey Nash.

Data Scientist
Average UK salary: £75,000

Data Scientist: job description

Turn complex data into insights, predictions and evidence that help organisations solve problems and make better decisions. As AI and machine learning transform how data is analysed, data scientists increasingly need to evaluate models critically rather than simply produce results. This MSc develops practical skills in data preparation, statistical analysis, and machine learning, alongside the judgement to recognise limitations, uncertainty and bias.

Average UK salary: £75,000
Machine Learning Engineer
Average UK salary: £85,000

Machine Learning Engineer: job description

Develop, test and improve machine learning models that allow systems to recognise patterns and make predictions from data. As models become more sophisticated, machine learning engineers need a comprehensive understanding of how to select, train and evaluate different approaches for the problem at hand. You’ll gain essential skills and practical experience in preparing data and implementing supervised and unsupervised learning, neural networks and model evaluation techniques.

Average UK salary: £85,000
Chief Data Officer
Average UK salary: £175,000

Chief Data Officer: job description

Lead how an organisation uses data, setting priorities for how it is collected, managed and turned into business intelligence for better decisions. As AI and machine learning increase the value and complexity of organisational data, Chief Data Officers need to understand both the operating systems and what the evidence really means for the business. This MSc builds knowledge across analytics, machine learning, databases and AI, alongside evidence-based decision-making and professional judgement – useful foundations for experienced professionals progressing towards senior data leadership.

Average UK salary: £175,000

FAQs: Why study for an MSc Computer Science with Data Science 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.
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.
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 degree combines core computing knowledge with advanced data science expertise. You’ll explore data analytics, machine learning algorithms, and data visualisation techniques, while also studying database systems, software development, and cyber security. The programme blends theoretical knowledge with hands-on practice so you can gain skills to help you solve real world problems in a range of industries.
No – this programme is designed for graduates from a non-computing academic background. You'll study modules that cover the fundamental aspects of computer systems, database design, and software development, as well as more advanced areas like statistical data analysis and machine learning algorithms.
As a future data scientist, you’ll need a mix of essential knowledge and practical experience. This MSc builds your ability to work with data manipulation, design and query database systems, and apply machine learning to identify trends and patterns. You’ll graduate able to create solutions that add measurable value to organisations through data-driven decision-making.
Yes – the programme includes dedicated learning on project management for technical environments. You’ll learn how to plan, execute, and oversee projects that involve data science or software development, ensuring they are delivered on time and within budget. This is vital if you want to lead teams or take on more strategic responsibilities in your career.
Graduates often go on to work as data scientists, data analysts, or machine learning specialists. Your broad spectrum of skills – from database design and data mining algorithms to software development and cloud computing platforms – will open opportunities in industries ranging from finance and healthcare to technology and investment management.
Yes – both home and international students are welcome to apply. If your first language isn’t English, you’ll need to meet our English language requirements – further information can be found in the 'entry requirements' section above. This 100% online MSc allows you to study from anywhere in the world, connect with a diverse network of fellow students, and develop the data science skills to excel in a global job market.
Yes, our MSc Computer Science with Data 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.

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

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.

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