university of essex > ccfea > prospective students > programmedescriptions > msccf

prospective students

MSc in Computational Finance

Aims and objectives of the scheme

The MSc aims to equip students with the core concepts and mathematical principles of modern quantitative finance along with the operational skills to use computational packages (mainly Matlab) for financial modelling. In addition to traditional topics in derivatives and asset pricing, there will be special emphasis on risk management in non-Gaussian environment with extreme events. Further, the student has the opportunity to study methods of non-linear and evolutionary computational methods for derivatives pricing and portfolio management. The use of artificial financial market environments for stress testing, design of auctions and other financial contracts will also be covered.

Duration of the scheme

The MSc is a 12 month programme with a project in the summer that is oriented toward the computational implementation of financial models. The MSc consists of 185/190 credits with each 10-week lecture module constituting 15 credits (unless otherwise stated).

Target students

Students should have a good 2.1 or First class first degree, with a quantitative background such as in Physics, Computer Science, Mathematics, Statistics or mathematical Economics/Finance. However, no finance or computing background is assumed.

Our expertise and reputation

Computational Finance at University of Essex has established its international reputation as a centre that closely integrates finance and computing. The recent high quality workshops and international conferences hosted by CCFEA give a good measure of our national and international standing.

The market

The CCFEA MSc can be viewed as a high powered degree scheme combining computing and finance. The MSc will be a unique experience for students in that it will be run at a multi-disciplinary centre where students will get exposure to cutting edge research, seminars and workshops.  CCFEA students have gained sought after City internships.

The course modules

The MSc consists of 185/190 credits. There are 8 taught course modules of which 6 are compulsory and 2 are optional and a MSc project in the summer oriented toward the computational implementation of financial models.

Full information of the course structure can be found here. An overview of the compulsory modules for all of our schemes can be found here.

Note: some of these CE optional modules require previous experience and students should refer to the University's online module directory for full module descriptions.

Further information


Last modified: 28 October 2013