Online degree MSc Computer Science with Data Science

This is a conversion master’s degree – designed for people who didn’t study computing at undergraduate level. 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. In exceptional cases, 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. 

On this online Computer Science (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. 

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. Want to know what assessments you’ll sit for each module, or just need more detail? Request more info and our team would love to talk it through with you.

• 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. 

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 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.