The Department of Statistics building
Oxford's Department of Statistics
Mathematical, Physical and Life Sciences Division


The University's Department of Statistics is a world leader in research in probability, bioinformatics, mathematical genetics and statistical methodology, including computational statistics, machine learning and data science. 

The department offers an MSc by Research in Statistics, a DPhil in Statistics and a DPhil programme in statistical science, the latter delivered by the department's EPSRC Centre for Doctoral Training in Statistical Science in Modern Statistics and Statistical Machine Learning (known as StatML CDT). The department also admits graduates from the Mathematics of Random Systems CDT, Health Data Science CDT, and the Sustainable Approaches to Biomedical Science CDT, as well as other CDTs and Doctoral Training Programmes (DTPs).

As a research student you will be actively involved in a vibrant academic community by means of seminars, lectures, journal clubs, and social events. 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.

The department also offers a taught twelve-month MSc in Statistical Science, with a particular focus on modern computationally-intensive methods and their use in data analysis, which includes a dissertation component.

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.

In 2016 the department moved to a newly-renovated building in St Giles, providing excellent teaching facilities and creating a highly visible centre for statistics in Oxford. Oxford’s Mathematical Sciences submission came first in the UK on all criteria in the 2021 Research Excellence Framework (REF).


Was this page useful?*