Gain end-to-end expertise on this MSc Data Science course
Studying the MSc Data Science at St Mary's London, you'll develop skills to collect, process, analyse, and visualise complex datasets, applying statistical
Why choose an MSc Data Science at St Mary's?
Portfolio-driven assessment for improved employability
Assessments on the course build a professional portfolio, giving clear evidence of your skills to future employers. This includes data analyses, predictive
Advanced analytical expertise
Gain in-depth knowledge of statistical modelling, machine learning, big data analytics, and AI-
Cross-sector data application
Prepare for diverse career paths by applying data science across sectors such as healthcare, finance, business intelligence, and digital
Ethical and explainable data science practices
Explore current research and emerging trends in data analytics and machine learning, and enjoy opportunities to engage with guest lecturers and industry experts.
Access to cutting-edge computer science facilities
The MSc Data Science is based at our London campus, where you'll have access to specialist facilities, including:
- High-spec labs with modern development environments for data science, machine learning, and big data processing, designed for intensive computing and collaborative work
- GPU-enabled, high-performance computing resources to support machine learning, predictive modelling, and large-scale data processing
- Industry-standard tools and software, including Python, R, SQL, and big data platforms for analysis, statistical computing, machine learning, and visualisation
Hands-on data science industry experience
Get hands-on experience taking part in analytics competitions, hackathons, and collaborative projects with industry. You’ll also visit technology companies, innovation hubs, research centres, and data-driven organisations, as well as attend conferences and expos.
Upcoming Event
St Mary’s University Postgraduate Open Afternoon
Friday 5 June 2026, 2pm
Course content
Modules
These modules are the modules that were available to students in the 2025/26 academic year and are illustrative of what may be offered for 2026/27.
Please note: it is possible that a module listed on the website will not be able to run due to reasons beyond our control. For more information please refer to our course information disclaimer.
Entry requirements
2:2
Previous degree
An undergraduate degree with at least 2:2 honours degree (or equivalent).
Additional requirement information
For more information about entry requirements, please email apply@stmarys.ac.uk.
Further Information
For more information about entry requirements please get in touch.
Fees & funding
September 2026
Home
£9,630
International
£18,180
Additional costs
*Please note: The tuition fees listed are if you study the course in full during the 2026/27 academic year. Part-time students will be charged for the modules undertaken per academic year. Module prices are calculated as a percentage of credits against the total credits and cost of the degree for that academic year. Please see the detailed breakdown of tuition fees for further information.
Your tuition fees will cover the cost of all mandatory elements of your programme. Additional costs could be incurred depending on optional modules chosen and other projects undertaken.
For further information about additional costs please see our additional costs webpage.
For more information about whether you are likely to pay home or international fees, please visit our 'understanding your tuition fee status' page.
Alumni discount
A 20% tuition fee discount is available for our alumni (undergraduate and PGCE) planning to study this Master's degree. Those studying for a PGDip of PGCert are not eligible for the discount.
Funding
Except for any iQTS courses, you can check on the UK government website to see if you may be eligible for a loan of up to £12,167 to help with course fees and living costs while you study a postgraduate programme.
Home and international students for non-iQTS courses may also be eligible for external sources of funding. International students should check their eligibility for our International Scholarship.
For more information, please look at our postgraduate funding page.
How the degree is taught
- Contact time
- 20%
- Independent study
- 50%
- Guided learning
- 30%
Assessment methods
- Coursework assignments (programming, modelling, data analysis)
- Practical lab-based assessments
- Group projects and collaborative analytics
- Presentations and technical demonstrations
- Written reports and critical evaluationsDissertation (major research project and viva)
Who teaches this course?
Career opportunities
Our Data Science master’s helps you develop essential transferable skills, such as flexibility, teamwork, and attention to detail.
Please contact our Career Services at careers@stmarys.ac.uk for further information on jobs and postgraduate opportunities.
Some examples of job roles and areas of work for graduates of Data Science MSc, PGCert, PGDip include:
Apply now
September 2026
January 2027
Make sure to check our step-by-step guide to application process.
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