| UCAS code | 1234 |
|---|---|
| Duration | 1 year full time |
| Entry year | 2025 |
| Campus | Streatham Campus |
| Discipline | Mathematics |
| Contact |
| Typical offer | A 2:1 degree or equivalent |
|---|---|
Overview
- 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.
Fast Track (current Exeter students)
Statistics MSc at the University of Exeter.
Top 20 in the UK for Mathematics
18th in the Complete University Guide 2025
Top 50 in the world for our Mathematics and Computer Science research
CWTS Leiden Ranking 2023, 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
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.
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 test scores for this course fall under Profile B2. 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 we outline here 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.
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 |
Fees
2025/26 entry
UK fees per year:
- £12,600 full-time
International fees per year:
- £28,600 full-time
Fee information
Fees can normally be paid by two termly instalments and may be paid online. You will also be required to pay a tuition fee deposit to secure your offer of a place, unless you qualify for exemption. For further information about paying fees see our Student Fees pages.
UK government postgraduate loan scheme
Postgraduate loans are now available for Masters degrees. Find out more about eligibility and how to apply.
Scholarships
The University of Exeter has many different scholarships available to support your education, including £5 million in scholarships for international students applying to study with us in the 2025/26 academic year, such as our Exeter Excellence Scholarships*.
For more information on scholarships and other financial support, please visit our scholarships and bursaries page.
*Terms and conditions apply. See online for details.
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
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.
Top 20 in the UK for Mathematics
18th in the Complete University Guide 2025
Top 50 in the world for our Mathematics and Computer Science research
CWTS Leiden Ranking 2023, 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
