The field is flourishing as new links between AI, machine learning and statistics are uncovered in university and industry-based research carried out around the world.
This course allows students to combine the strengths of the Oxford Mathematics degree with the opportunity to pursue statistics, machine learning and probability in good mathematical depth. It can be taken as a three-year course leading to a Bachelor of Arts (BA) in Mathematics and Statistics degree or as a four-year course leading to a Master of Mathematics (MMath) in Mathematics and Statistics degree. The fourth year includes supervised project work leading to a dissertation in statistics. The option to continue to the fourth year can be decided as late as the end of the third year.
The first four terms of the course are identical to the Mathematics course, but thereafter students have the opportunity to specialise. There is considerable flexibility between this course and Mathematics, with the ability to change in either direction until well into the second year.
The course at St Peter's
First and second-year students are taught in small group tutorials alongside the mathematicians in the College. Third and fourth-year students receive specialised teaching in probability and statistics in departmentally-based inter-collegiate classes.
Optional advanced courses in computational statistics are delivered in purpose-built computing labs in the Department of Statistics. The College has particular research strengths in applied and computational statistics.
Professor Christl Donnelly CBE
- Professorial Fellow in Statistics
Dr Hanqing Jin
- Research Fellow in Mathematical Finance
- Associate Professor in Mathematical Finance
Professor Lionel Mason
- Fellow and Tutor in Mathematics
- Professor of Mathematics
Dr Cora Mezger
- Research Associate
- Director of Statistical Consultancy Services
Professor Geoff Nicholls
- Fellow and Tutor in Statistics
- Associate Professor in Statistics