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Full time & Part time October MSc Full-time: 1 year

About the course

Our MSc Computational Finance equips you with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling.

We provide practical, hands-on learning about how modern, highly computerised financial markets work, how assets should be priced, and how investors should construct a portfolio of assets. In addition to traditional topics in derivatives and asset pricing, we place a special emphasis on risk management in non-Gaussian environment with extreme events.

You master these areas through studying topics including:

  • Non-linear and evolutionary computational methods for derivatives pricing and portfolio management
  • Applications of calculus and statistical methods
  • Computational

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Entry Requirements

2.2 degree in Finance, Financial Economics, Economics, Engineering, Mathematics, Statistics, Physics or Computer Science.

We will accept graduates of any other degree but this must contain Mathematics (calculus) or Econometrics (probability, Statistics) Also some programming experience is required.

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