MScStatistics
Source: https://www.exeter.ac.uk/study/postgraduate/courses/mathematics/statistics/ Parent: https://www.exeter.ac.uk/study/postgraduate/courses/
MSc Statistics
MSc Statistics
| UCAS code | 1234 |
| Duration | 1 year full time |
| Entry year | 2026 |
| Campus | Streatham Campus |
| Typical offer View full entry requirements | A 2:1 degree or equivalent |
| Contextual offers |
Why study MSc Statistics at Exeter?
- Gain the skills needed to collect, analyse, model and extract meaningful information from data in a way that is relevant to a broad range of careers
- Build on your existing mathematical and quantitative skills as you encounter a wide variety of statistical techniques and applications
- Explore how to perform complex statistical analyses and communicate your findings to a variety of audiences
- Learn the theory and application of traditional and modern statistical methods from the foundations of statistical theory to the application of cutting-edge regression models
- Our degree is designed to equip you with the knowledge and skills you need to pursue a career in statistics, data science and related areas, or to engage in postgraduate research
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Select programme Statistics MSc
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Contact
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Phone: +44 (0)1392 72 72 72
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Statistics MSc at the University of Exeter.
Top 20 in the UK for Mathematics
20th in The Times and The Sunday Times Good University Guide 2026
Top 10 in the world for our Mathematics and Computer Science research
CWTS Leiden Ranking 2024, by percent of articles in the top 10% most-cited
Research expertise in statistical and data science methodology and models, often driven by real-world applications and collaborations
Wide range of exciting and high-impact research projects
I started my MSc in Statistics at the University of Exeter in the autumn of 2022. Before coming to Exeter, I completed my Bachelors degree in Statistics in China. I’m currently continuing my academic journey at Exeter as a PhD student in Statistics.
I chose the University of Exeter because the course modules perfectly matched my interests. The programme offers a great balance between theoretical statistical knowledge and its real-world applications, which really appealed to me. Two modules in particular stood out for me: one on Statistical Inference: Theory and Practice and titled Bayesian Statistics, Philosophy and Practice. These modules introduced me to the two main schools of statistical thought, but it was the second of the two that truly inspired me. It gave me a new perspective on probability and how we interpret the world around us, sparking a deep curiosity about Bayesian statistics. This insight and motivation ultimately led me to pursue a PhD to further explore the fascinating Bayesian world.
Read more from Boyun
Boyun
MSc Statistics graduate
Entry requirements
Normally a 2:1 Honours degree or equivalent in a mathematics, science or engineering subject, with significant mathematics content.
Requirements for international students
If you are an international student, please visit our international equivalency pages to enable you to see if your existing academic qualifications meet our entry requirements.
Please also see our guidance on essential documentation required for an initial decision on taught programme applications.
Entry requirements for international students
English language requirements
International students need to show they have the required level of English language to study this course.
The required IELTS test scores for this course fall under Profile B1.
Please visit our English language requirements page to view the required test scores and equivalencies from your country.
Course content
The MSc Statistics programme is designed for you if you studied a numerate first degree and want to build on your existing mathematical and quantitative skills. You will learn how to perform complex statistical analyses and communicate your findings to a variety of audiences. The course investigates the theory and application of traditional and modern statistical methods. You will be able to apply your understanding of statistical modelling and the mathematics behind it to problems in any sector from health to the environment.
Our compulsory modules give you a solid understanding of statistical theory and practice and your choice of optional modules ensures you are able to investigate areas that you are particularly interested in.
You will complete an individual research project supervised by an academic from the department. We encourage you to follow your interests through your research project and we will support you to approach members of the department who investigate relevant areas so that you can devise a project title together.
The modules below provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.
Modules
Please note that the module information displayed here is from a previous year and is subject to change.
Compulsory modules
| Code | Module | Credits |
|---|---|---|
| Compulsory Modules: | ||
| MTH3028 | Statistical Inference: Theory and Practice | 15 |
| MTHM033 | Statistical Modelling in Space and Time | 15 |
| MTHM047 | Bayesian Statistics, Philosophy and Practice | 15 |
| MTHM050 | Research Project in Statistics | 60 |
| MTHM503 | Applications of Data Science and Statistics | 15 |
| MTHM507 | Communicating Data Science | 15 |
Optional modules
| Code | Module | Credits |
|---|---|---|
| 45 credits of free choice among options listed below or other elective modules: | ||
| ECMM422 | Machine Learning | 15 |
| ECMM450 | Stochastic Processes | 15 |
| MTH3045 | Statistical Computing | 15 |
| MTHM002 | Methods for Stochastics and Finance | 15 |
| MTHM006 | Mathematical Theory of Option Pricing | 15 |
| MTHM063 | Uncertainty Quantification | 15 |
| MTHM611 | Topics in Environmental Intelligence | 15 |
| SOCM033 | Data Governance and Ethics | 15 |
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Fees
2026/27 entry
UK fees per year:
- £12,900 full-time
International fees per year:
- £28,900 full-time
Scholarships
The University of Exeter offers a wide range of scholarships to support your education, with £7 million available for international students applying to study with us in the 2026/27 academic year, including our prestigious Exeter Excellence Scholarships *. We also provide awards for sport, music and other achievements, as well as regional and partner scholarships with organisations such as Chevening, The Beacon Trust and the British Council. For more information on scholarships and other financial support, please visit our scholarships and bursaries page.
University of Exeter Alumni Scholarship
We are pleased to offer University of Exeter alumni beginning a standalone postgraduate programme in 2026/27 with us a scholarship towards the cost of your tuition fees. Full details can be found here.
*Terms and conditions, including deadlines, apply. See our website for details..
Find out more about tuition fees and funding »
Teaching and research
The University of Exeter is notable for its research in the areas of forecast verification and post- processing, spatial epidemiology, statistics of extremes, environmental hazards, medical statistics, calibration of computer models and uncertainty quantification. Find out more about our research.
Research-led teaching
We believe every student benefits from being taught by experts active in research and practice. You will discuss the very latest ideas, research discoveries and new technologies in seminars and in the field and you will become actively involved in a research project yourself. All our academic staff are active in internationally-recognised scientific research across a wide range of topics. You will also be taught by leading industry practitioners.
Assessment
Modules are either assessed by coursework only, or a mixture of coursework and an exam. For detailed information on assessment see the module descriptors in the programme structure,
Investment in data science and artificial intelligence
The University has invested £50 million in the development of its Data Science and Artificial Intelligence capabilities. The Accelerating Data Science and Artificial Intelligence (ADA) project has been running since 2023 and has invested in teaching, research and infrastructure which this programme benefits from.
Careers
Statisticians are found in many sectors. Demand for graduates with the ability to competently organise and analyse data is increasing as the amount of digital information available rapidly grows.
Your degree will provide you with analytical and statistical skills that are highly sought after by employers. Roles directly relating to a qualification in statistics exist in the public and private sectors and include actuarial analyst, actuary, data analyst or scientist, financial risk analyst, investment analyst, market or operational researcher and statistician.
This degree will also provide an excellent foundation should you wish to pursue advanced postgraduate research in statistics within academia.
Dedicated careers support
You will receive support from our dedicated Career Zone team, who provide excellent career guidance at all stages of career planning. The Career Zone provides one-on-one support and is home to a wealth of business and industry contacts. Additionally, they host useful training events, workshops and lectures which are designed to further support you in developing your enterprise acumen. Please visit the Career Zone for additional information on their services.
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