University of Essex

University of Essex

Computational Finance

This course seeks to equips students with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling. In addition to traditional topics in derivatives and asset pricing, we place a special emphasis on risk management in non-Gaussian environments with extreme events. Students have the opportunity to study methods of non-linear and evolutionary computational methods for derivatives pricing and portfolio management and to graduate with an understanding of the use of artificial financial market environments for stress testing, and the design of auctions and other financial contracts.

Entry requirements

Our applicants should have a 1st, 2.1 or high 2.2 degree, or equivalent, in a relevant subject. If English is not your 1st language, then we require IELTS 6.0 or equivalent.

Course modules

Core modules: Dissertation; financial engineering and risk management; introduction to financial market analysis; learning and computational intelligence in economics and finance; professional practice and research methodology; quantitative methods in finance and trading; big-data for computational finance; industry expert lectures in finance; mathematical research techniques using Matlab; programming in Java. Optional modules include: Artificial neural networks; high frequency finance and empirical market microstructure; machine learning and data mining; mathematical research techniques using Matlab; programming in Java; trading global financial markets.

Assessment methods

Combination of written coursework, end-of-term tests, practical and laboratory work (where appropriate) and end-of-year exams. During the summer, you will work on a dissertation or individual project included in your final grade.

Sponsorship information

Research council funding and some University of Essex studentships available.


Qualification Study mode Fee Course duration
MSc Full-time £ 10,815 per Academic year (home fees) 12 months
MSc Full-time £ 13,950 per Academic year (overseas fees) 12 months
MSc Part-time £ 5,250 per Academic year (home fees) 24 months
MSc Part-time £ 7,475 per Academic year (overseas fees) 24 months

Campus details

Campus name Town Postcode Region Main campus Campus Partner
Colchester Campus Colchester CO4 3SQ South East

Key information

Graduate Administrator, Centre for Computational Finance and Economic Agents
Telephone number: 
01206 872719