Course summary
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 intelligence in finance and economics
- Financial markets
Modules
You can tailor your learning experience with a choice of optional modules. More information about these can be found on the University of Essex website
Entry requirements
Entry requirements for this course can be found on the course finder on the University of Essex website – www.essex.ac.uk
Fees and funding
Tuition fees
England | £12125 | Year 1 |
Northern Ireland | £12125 | Year 1 |
Scotland | £12125 | Year 1 |
Wales | £12125 | Year 1 |
Channel Islands | £12125 | Year 1 |
Republic of Ireland | £12125 | Year 1 |
EU | £23500 | Year 1 |
International | £23500 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
Research council funding and some University of Essex studentships available.
Provider information
University of Essex
Wivenhoe Park
Colchester
CO4 3SQ