This course gives students the tools necessary to undertake high'quality research in both financial and academic institutions; they acquire an in'depth knowledge and understanding of financial mathematics, which includes financial mathematical theory and modelling, along with probability theory and programming which is then applied for asset pricing, modelling interest rates and risk management; the course is rigorous with respect to the mathematics but also places great emphasis on linking theory with real world developments.
Term 1: asset pricing; numerical methods 1: foundations; mathematical models for financial derivatives; stochastic calculus. Term 2: fixed income securities; numerical methods 2: applications in finance; risk analysis; advanced stochastic modelling methods in finance. Term 3: five electives or one elective and a business research project.
Course Additional Entry
An upper 2nd Class degree in mathematics, statistics, physics, actuarial science, engineering or economics (with substantial mathematics content).
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