|Duration||Full time 1 year|
Learn 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.
Learn how to perform complex statistical analyses and communicate your findings to a variety of audiences.
Taught by experts immersed in cutting-edge research, you will cover both the theory and application of traditional and modern statistical methods from the foundations of statistical theory to the application of cutting-edge regression models.
This degree provides a practical foundation for anyone wishing to pursue a career in statistics and related areas, or students looking to engage in postgraduate research.
This degree is comprised of modules drawing upon Exeter’s considerable expertise in statistics. Over the course of the degree you will learn the skills and techniques required to collect, organise, analyse, interpret and present data. You will become experienced in understanding and modelling structures and patterns in data, as well as when and how to allow for inevitable uncertainties.
The taught component of the programme is completed in June with the project extending over the summer period for submission in September.
|MTHMXXX||An Introduction to Statistical Thinking||15||Y|
|MTHMXXX||Applications of Data Science and Statistics||15||Y|
|MTHMXXX||Engaging with Research||15||Y|
|MTHM017||Advanced Topics in Statistics||15||Y|
|MTHM033||Statistical Modelling in Space and Time||15||Y|
|MTHM3041||Bayesian Statistics, Philosophy and Practice||15||Y|
|MTHM3012||Advanced Statistical Modelling||15||Y|
|MTHMXXX||Research Project in Statistics||15||Y|
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.
Learning and teaching
Statistics at Exeter
The University of Exeter’s is notable for its research in the areas of forecast verification and processing, air quality modelling, spatial epidemiology, environmental hazards, calibration of computer models and quantifying uncertainty in complex systems. Find out more about our research.
Learning and 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.
Modules are either assessed by coursework only, or a mixture of coursework and an exam. For detailed information on assessment see the module descriptors link from the module codes listed in the ‘structure’ section.
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.
In addition, this degree will also provide an excellent foundation should you wish to pursue advanced postgraduate research in statistics within academia.
All students, current and alumni, receive support from our dedicated Career Zone team who provide excellent career guidance at all stages of the career planning cycle. The Career Zone provides one-on-one support and is the home of 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.
As an Exeter graduate you will have access to the Career Zone for life.
Please visit the Career Zone for additional information on their services.
Normally A 2:1 honours degree in a quantitative subject, for example: statistics, mathematics, engineering or physics.
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.
English language requirements
Overall score 6.5. No less than 6.0 in any section.
Overall score 90 with minimum scores of 21 for writing, 21 for listening, 22 for reading and 23 for speaking.
Pearson Test of English (Academic)
58 with no less than 55 in all communicative skills.
Other accepted tests
Information about other acceptable tests of linguistic ability can be found on our English language requirements page.
Applicants with lower English language test scores may be able to take pre-sessional English at INTO University of Exeter prior to commencing their programme. See our English language requirements page for more information.
Fees and funding
Tuition fees per year 2020/21
- UK/EU: £9,950 full-time;
- International: £20,950 full-time
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 of up to £10,609 are now available for Masters degrees. Find out more about eligibility and how to apply.
Global Excellence Scholarship
We are delighted to offer Global Excellence Scholarships for students of outstanding academic quality applying to postgraduate Taught programmes starting in autumn 2020.
If you have any questions about any of our taught programmes, please contact us:
Tel: +44 (0) 1392 724061
Web: Enquire online