Department of Statistics
The University's Department of Statistics is a world leader and its research is either explicitly interdisciplinary or draws its motivation from a range of application areas.
Oxford's super computer. Credit: Oxford University Images / John Cairns Photography
Overview
The Department of Statistics is a world leader in research in computational statistics and machine learning, statistical theory and methodology, econometrics and population statistics, probability, protein informatics, statistical genetics and epidemiology, and computational biology and bioinformatics.
The department is located on St Giles, in a building providing excellent teaching facilities and creating a highly visible centre for statistics in Oxford. The building has spaces for study and collaborative learning, including the library and a large interaction and social area on the ground floor, as well as an open research zone on the second floor.
As a member of the department, you will have the opportunity to be involved in a vibrant academic community by means of seminars, lectures, reading groups, and social events.
Much of the research in the Department of Statistics is either explicitly interdisciplinary or draws motivation from application areas, ranging from genetics, immunoinformatics, bioinformatics and cheminformatics, to finance and the social sciences. Research students are offered training in modern probability, stochastic processes, statistical methodology, computational methods and transferable skills, in addition to specialised topics relevant to specific application areas.
Oxford’s Mathematical Sciences submission came first in the UK on all criteria in the 2021 Research Excellence Framework (REF).
Courses offered
The courses shown below are offered at postgraduate-level.
- Intelligent Earth (UKRI CDT in AI for the Environment) (full time and part time)
- MSc in Mathematical Sciences (full time)
- MSc in Statistical Science (full time)
- PGDip in Statistical Science (full time)
- DPhil in Statistics (full time)
- MSc by Research in Statistics (full time)
- Statistics and Machine Learning (EPSRC CDT) (full time and part time)