Taught Postgraduate Degrees
Graduate Open Day
There will be an online graduate open day on 4th November 2020. The Department of Statistics will be present in the Mathematical Institute, where some talks will be taking place. The Department of Statistics will also be running its own programme of events, details can be found in the PDF document below.
MSc in Statistical Science
The Master of Science (MSc) in Statistical Science is a twelve-month full-time taught master’s degree running from October to September each academic year. The course has a particular focus on modern computationally-intensive theory and methods.
The MSc in Statistical Science will aim to train you to solve real-world statistical problems. When completing the course you should be able to choose an appropriate statistical method to solve a given problem of data analysis, implement the analysis on a computer and communicate your results clearly and succinctly.
See here for more information.
MSc in Mathematical Sciences (OMMS)
The new MSc in Mathematical Sciences (OMMS) runs jointly between the Mathematical Institute and Department of Statistics. This is an opportunity for students from around the world to receive a broad and flexible training in mathematical sciences, essential for research and innovation in the 21st century. The MSc spans interdisciplinary applications of mathematics as well as recognizing fundamental questions and themes. Oxford has a world-class reputation in the Mathematical Sciences, and this course offers students the opportunity to work with an international group of peers, including other mathematical leaders of the future.
The MSc draws on courses in mathematics, statistics and computer science: from number theory, geometry and algebra to genetics and cryptography; from probability and mathematical geoscience to data mining and machine learning. Students can choose from many different pathways, tailoring the programme to their individual interests and requirements.
Examples of pathways include:
- research in fundamental mathematics,
- data science,
- interdisciplinary research in fluid and solid mechanics,
- mathematical biology
- industrially focused mathematical modelling,
- (stochastic) partial differential equations