Masters Degree Description
This course is a gateway to a variety of careers in the public and private sectors, and a natural pathway to a PhD in an area of mathematics.
This course aims to bring you, in 12 months, to a position where you can embark with confidence on a wide range of careers, including taking a PhD in Mathematics or related disciplines. There is a wide range of taught modules on offer, and you will also produce a dissertation on a topic of current research interest taken from your choice of a wide range of subjects offered.
Course structure
- Six taught modules in October-May
- A dissertation in June-September.
Examples of optional modules:
Modules in Pure Mathematics:
- Algebraic Topology IV
- Analysis III/IV
- Codes and Cryptography III
- Differential Geometry III
- Galois Theory III
- Geometry III/IV
- Mathematical Dynamics IV
- Number Theory III/IV
- Representation Theory IV
- Riemannian Geometry IV
- Topology III
- Topics in Algebra and Geometry IV
Modules in Probability and Statistics:
- Bayesian Statistics III/IV
- Mathematical Finance III/IV
- Decision Theory III
- Operations Research III
- Statistical Methods III
- Stochastic Processes III/IV
Modules in Applications of Mathematics:
- Advanced Quantum Theory IV
- Fluid Mechanics III/IV
- Dynamical Systems III
- General Relativity IV
- Mathematical Biology III
- Partial Differential Equations III
- Quantum Information III
- Quantum Mechanics III
- Statistical Mechanics IV
- Solitons III/IV
- Topics in Applied Mathematics IV
Entry Requirements
2:1 degree or equivalent in a relevant subject.
Fees
For fees and funding options, please visit website to find out more