Mathematics is crucial to everyday life, from being the basis of internet banking security to verifying the safety of pharmaceuticals through statistics and it offers many employment options. In January 2009, US careers website www.JobsRated.com rated mathematician to be the best job out of the 200 considered. This one-year full-time MSc aims to provide you with a sound general knowledge of advanced mathematics. The course should appeal to those seeking a career as a user of mathematics or those looking to prepare themselves for a higher research degree. The programm is broad based but concentrates on the core areas of pure applied and numerical mathematics. A wide choice of topics is available for the dissertation, taken under the supervision of a faculty member. Optional training in generic and transferable skills (writing, public speaking, project management and time management) is available to all MSc students through the Science Postgraduate Support Group.

Our teaching is designed to provide you with the knowledge and skills to compete effectively in the fast-paced world of work. We are tailoring our taught courses to meet current and future employer demands and will continue to adapt to the changing employment market. This one-year full-time course is designed to cover the main aspects of risk management in businesses, focusing on quantitative analysis, regulation, implementation and management structure in business organisations. This MSc covers topics such as financial portfolio theory, risk modelling, risk management and implementation within corporate structures. It also provides options in programming, probability and statistics, plus a range of management modules.

This one-year full-time course is designed to cover the main aspects of quantitative finance, including general finance theory, finance models and programming for graduates with a science, engineering or economics/business background. The course includes topics such as interest rate theory, arbitrage theory, GARCH models, corporate finance, the Black-Scholes model and numerical analysis, programming in C and Java, and the use of mathematical computing software. Some options offer probability and statistical theory, which are essential for further development of the mathematical analysis of financial problems.

Computation is an important partner to experimentation and theory in the advancement of science and engineering. Numerical simulation allows us to study complex systems that would be too expensive, dangerous or impossible to investigate experimentally. Recent advances in computer algorithms allow simulation in much greater detail and realism. This one-year full-time course aims to provide you with a blend of computational and mathematical tools. It should appeal to those who have an interest in pure and applied mathematics and computational physics and who are looking to move into industry, mathematical finance and further postgraduate study within science.