Birkbeck, University of London, MSc, Financial Engineering
Introductory programme: Students choose 1 or both from: introduction to finance; quantitative techniques; year 1: mathematical and numerical methods: part 1: treats those aspects of the theory of stochastic calculus necessary for modern quantitative finance, including some numerical stochastics; part 2: numerical techniques for finance, illustrated by MATLAB and includes materials on differential equations and C++; econometrics comprising a thorough introduction to time series modelling applied to financial problems and statistical theory; year 2: mathematical risk management; part 1: covering basic modelling of VaRs, credit risk and asset allocation in discrete time; part 2: more advanced topics such as the 'axiomatic' approach to risk, copulas, extreme value theory and asset allocation in continuous time; or commodities: provides an introduction to commodities, in particular energy commodities, oil, natural gas and coal, as well as agricultural and metal commodities; pricing: continuous time derivative pricing using both PDE and martingale approaches, applied to option pricing; interest rate modelling and credit risk modelling; dissertation.
Other courses at Birkbeck, University of London
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MSc Building Information Modelling and Management
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MSc International Business Management (with internship)
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MSc Health Sciences Open Award
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MSc Computer Science in Cyber Security
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