Statistical Data Science Msc
Streatham Campus, United Kingdom
MSc Statistical Data Science
University of Exeter
Statistical Data Science
MSc Statistical Data Science at the University of Exeter
The MSc Statistical Data Science at the University of Exeter is co-created and co-delivered by the Department of Mathematics and Statistics and the Department of Computer Science. This interdisciplinary programme combines perspectives from both disciplines, giving you a unique combination of insights into modern statistical data science.
Developed for non-specialists, this programme equips you with essential knowledge, skills, and competencies to thrive in the rapidly evolving field of data science. You will train in the technical aspects of data science and statistics, as well as ethical issues related to the use of data in contemporary society, with applications spanning industry, medicine, healthcare, environment, and climate.
You will apply your learning to real-world problems through a substantial dissertation project, preparing you for work in a commercial setting or further postgraduate study. The University of Exeter is home to the Institute of Data Science and Artificial Intelligence (IDSAI) and maintains a long-established partnership with the Alan Turing Institute.
Program Highlights
- Co-delivered by the departments of Mathematics and Statistics and Computer Science, blending statistical rigour with computational expertise
- Covers real-world applications from diverse sectors including healthcare, industry, environment, and climate science
- Access to the Institute of Data Science and Artificial Intelligence (IDSAI) and partnership with the Alan Turing Institute
- No prior coding experience required — the programme is designed as a conversion course for non-specialists
Curriculum and Modules
The MSc Statistical Data Science curriculum integrates core statistical theory, computational methods, and hands-on data analysis. Teaching is delivered through a mix of lectures, projects, group work, and hands-on lab sessions, with assessments based on exams, individual and group project work, practical data analysis, visualisation, and communication skills.
Working with Data
15 CreditsAn introduction to programming in R and Python for data manipulation, cleaning, and exploratory analysis. This module provides the foundational coding skills needed throughout the programme.
Statistical Modelling and Inference
15 CreditsCovers the principles of statistical modelling, hypothesis testing, and inference. You will learn to build, evaluate, and interpret statistical models for real-world datasets.
Machine Learning and Statistical Learning
15 CreditsIntroduces key machine learning and statistical learning methods including decision trees, random forests, support vector machines, and neural networks, with both theoretical foundations and practical implementation.
Data Governance and Ethics
15 CreditsExplores the ethical, legal, and governance issues surrounding data use in contemporary society. You will examine your responsibilities as a data scientist for ensuring data and technologies are used ethically.
Bayesian Statistics and Computation
15 CreditsCovers Bayesian approaches to statistical analysis, including prior specification, posterior inference, and computational methods such as Markov Chain Monte Carlo sampling algorithms.
Dissertation in Statistical Data Science
60 CreditsA substantial independent research project of approximately 15,000 words in which you apply your learning to a real-world problem, demonstrating project planning, analytical skills, and the ability to interpret and communicate results.
Elective Modules
Admission Requirements
The MSc Statistical Data Science programme welcomes applicants from a wide range of academic backgrounds. Prior experience of coding is not necessary, as the programme is designed as a conversion course. Contact Uni4Edu for guidance on your specific qualifications and eligibility.
Academic Requirements
- Undergraduate DegreeA good degree, normally a 2:2 (Lower Second Class Honours) or above from a recognised university
- Mathematics BackgroundAt least A-level or equivalent in Mathematics, or quantitative skills training as part of undergraduate study or professional experience
- Coding ExperienceNo prior coding experience is required for this programme
- Non-Standard QualificationsApplications may be considered with evidence of exceptional performance, significant relevant work experience, or professional qualifications
- International EquivalenciesContact Uni4Edu for country-specific qualification equivalencies
English Language Requirements
- IELTS Academic6.0 overall with no less than 6.0 in any section
- TOEFL iBTOverall score of 87 with minimum scores of 21 in writing, listening, reading, and speaking
- PTE Academic64 overall with no less than 64 in all communicative skills
Required Documents
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
The University of Exeter offers a wide range of scholarships to support international students. With GBP 7 million available for international students in the 2026/27 academic year, there are numerous opportunities to help fund your studies. Contact Uni4Edu for personalised guidance on funding options.
Exeter Excellence Scholarships
Prestigious merit-based scholarships available to international students demonstrating outstanding academic achievement and potential in their chosen field of study.
Chevening Scholarships
Fully fundedUK Government-funded scholarships for outstanding emerging leaders from around the world, covering tuition, living expenses, and travel costs for one-year master's programmes.
Regional and Partner Scholarships
Varies by awardA variety of awards offered in partnership with organisations such as The Beacon Trust and the British Council, targeting students from specific regions or backgrounds. Contact Uni4Edu for eligibility details.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the MSc Statistical Data Science programme are well-positioned to enter a wide range of data-driven roles across multiple sectors. The University of Exeter is ranked 8th in the UK for graduates most sought after by top employers, and the programme's emphasis on real-world applications ensures you graduate with both technical expertise and practical experience.
Potential Career Roles
Top Employers of Exeter Graduates
Rankings and Recognition
The University of Exeter is a member of the prestigious Russell Group and consistently ranks among the top universities in the UK and worldwide. Exeter achieved Triple Gold in the Teaching Excellence Framework (TEF) 2023 and was named University of the Year in the UK Social Mobility Awards 2025.
| Subject | Ranking Body | Rank |
|---|---|---|
| Mathematics | Times / Sunday Times Good University Guide | 20th in the UK |
| Computer Science | Complete University Guide | 18th in the UK |
| Arts and Humanities | QS World University Rankings by Subject | 90th globally |
| Graduate Employability | High Fliers Graduate Market Report | 8th in the UK |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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