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Course content

This exciting new programme introduces modern mathematical techniques and financial modelling, such as portfolios options and derivative pricing, for students with a mathematical background. In particular it will introduce the probability and stochastics often not included in standard mathematics degrees.

Following the Financial Crisis of 2007-2009 there has been a shift in the practice of mathematical finance. The emphasis is now on possessing a broad range of skills that can be applied to practical problems. The aim is to understand, both quantitatively and qualitatively, risks and uncertainty involved.

The MSc focuses on practical computational and applied mathematics aspects of finance and uncertainty, and students graduating from the programme will have excellent employment prospects that are not restricted to any one narrow sector of financial services.

We have a practical applied approach to the material. This will provide you with relevant and modern skills, in demand in the UK and internationally, relating to structured finance.

Students will take a total of 8 courses, 4 in each of the 1st and 2nd Semesters followed by a 3-month Project in the summer. A typical distribution for this programme is as follows:

Core Courses

Modelling and Tools;
Derivative Markets, Pricing and Financial Modelling;
Statistical Methods (recommended);
Stochastic Simulation;
Modern Portfolio Theory.

Optional Courses

Enterprise Risk Management;
Data mining and Machine Learning;
Financial Markets;
Software Engineering Foundations;
Bayesian Inference and Computational Methods;
Financial Engineering;
Numerical Analysis (PDEs);
Advanced Derivative Pricing;
Numerical Techniques for PDE's with either Time Series or Financial Econometrics;
Advanced Software Engineering.

Progression to the MSc project phase is dependent on assessed performance.

Typical project topics may include

Applications of multilevel Monte-Carlo sampling in finance;
An investigation of new numerical methods for stochastic interest rate models;
Space time adaptivity for Fokker—Planck equations.

Visit the Quantitative Finance and Mathematics page on the Heriot-Watt University website for more details!




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