Our society revolves around variation, uncertainty and risk. By gaining a greater understanding of these variables through the study of statistics, we’re able to create systems and techniques that benefit areas as diverse as science, law and finance.
The group leads the interdisciplinary Centre for Statistics that spans across the whole breadth of the university, providing opportunities for collaborations with researchers in many different applied fields.
The School of Mathematics is a vibrant community with researchers in many different, but related, fields - including Data Science.
Our Statistics research group form The University of Edinburgh is balanced between classical and Bayesian statistics. Particular areas of interest include, but not limited to, high-dimensional data, computationally intensive techniques, wavelets, nonparametric regression, extreme value theory, sampling and hidden process models.
While the group has a strong theoretical base, a key component in the research relates to the interdisciplinary aspects of statistics with specific application areas including for example, ecology, geosciences, medicine, forensic science, law, and functional genomics data, such as gene expression microarrays.
You will gain a qualification that is highly regarded in both academia and industry. Future career options are diverse, with past students finding positions in academic institutions, forensics, finance, law and biological and agricultural organisations.
- As a research student, you’ll find a wealth of expertise available to you via our links with theorists and practitioners in related fields.
- The School interacts with numerous other groups across the university, including for example, Informatics, Geosciences, Business, Clinical Trials Unit. The interdisciplinary Centre for Statistics connects individuals across the breadth of the university interested in cross-fertilisation and collaborative research. The recently opened Bayes Centre, which also hosts the International Centre for Mathematical Sciences is the College of Science and Engineering Data Science initiative providing an exciting interdisciplinary environment for interacting within and across Schools.
- In addition, the Scottish Government-backed research provider Biomathematics and Statistics Scotland is an associated research institute of the University.
- 36 months
- 72 months
Start dates & application deadlines
- StartingApply anytime.
We encourage you to apply at least one month prior to entry so that we have enough time to process your application.
DisciplinesApplied Mathematics Statistics Actuarial Science View 33 other PhDs in Applied Mathematics in United Kingdom
- A UK first class honours degree, or its international equivalent, in an appropriate subject; or a UK 2:1 honours degree plus a UK masters degree, or their international equivalents; or relevant qualifications and experience.
International23350 GBP/yearTuition FeeBased on the tuition of 23350 GBP per year during 36 months.
Home fees have still to be agreed
PhD PT fees
- International/EU: £11,675
Living costs for Edinburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.