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About the course
Large investment banks such as HSBC and Barclays need people who can work on investment strategies and who can mathematically deduce how risky they are. This course is designed to give quantitative students a foothold in this financial world with the advanced, specialist skills that employers are seeking.
If you have a high level of mathematical ability, a background in a subject such as maths, engineering, physics or another highly quantitative subject and wish to move into finance, this could be the course for you. Graduates of this course leave with a complete toolkit of skills, from big data mining techniques to Python programming. We also offer modules in Python Programming, Stochastic Calculus, Financial Econometrics and Market Risk Forecasting and Control.
Entry Requirements
2:1 Hons degree (UK or equivalent) in a Numerate subject such as Physics, Mathematics, Statistics, Management Science, Engineering. Familiarity at undergraduate level with topics such as probability and statistics, calculus and linear algebra is essential.
It is recommended for your previous studies to have covered the following modules: Maths – Calculus, Probability, Statistics, Linear Algebra (Matrices); Physics, Econometrics, Game Theory, Risk Theory, Operations Research, Complex Functions, Stochastic Processes, Signal Processing, Actuarial Science, Simulation, Computer Science and Engineering.
If you have studied outside of the UK, we would advise you to check our list of international qualifications before submitting your application.
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