We offer five different MSc courses in a range of subject areas. MSc courses are a fantastic way to further your mathematical knowledge in a specialised area, whilst also gaining research skills. Many of our MSc students go on to further study (at the PhD or DPhil level) or continue into industry.

 

 

MSc in Mathematical Sciences (OMMS)

The Oxford Masters in Mathematical Sciences (OMMS) provides a broad and flexible training in mathematical sciences, essential for research and innovation in the 21st century.  The Masters spans interdisciplinary applications of mathematics as well as recognising fundamental questions and themes. 

MSc in Mathematical and Theoretical Physics

This course provides a high-level, internationally competitive training in mathematical and theoretical physics, right up to the level of modern research. It covers the following main areas:

  • quantum field theory, particle physics and string theory;
  • theoretical condensed matter physics;
  • theoretical astrophysics, plasma physics and physics of continuous media;
  • mathematical foundations of theoretical physics.

Oxford picture of building for mcf

MSc in Mathematical and Computational Finance

The MSc programme in Mathematical & Computational Finance provides graduates with the foundations in applied mathematics, machine learning, and computer science necessary for a career in modern finance. Many of its alumni have had highly successful careers at banks, hedge funds, and investment funds. It is one of the most popular MSc programmes at the University of Oxford.

The course focuses on the interface between pure mathematics and theoretical computer science. It is suitable for those who wish to pursue research in pure mathematics, mathematical logic, or theoretical computer science. It is also suitable for students wishing to enter industry with an understanding of mathematical and logical design and concurrency.
Three MSc students working together in the common room.
This course provides training in the application of mathematics to a wide range of problems in science and technology. Emphasis is placed on the formulation of problems, on the analytical and numerical techniques for a solution and the computation of useful results. The course consists of both taught courses and a dissertation.
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