This interdisciplinary, laboratory based Centre is a show case for cutting edge computational and evolutionary methods. These are used for financial engineering and to simulate artificial intelligence agents in markets and other complex economic environments

Students pursuing the new MSc degrees, or the established PhD, will receive rigorous training in the principles of quantitative finance and microeconomics, along with computational skills in design and testing of market micro structure, risk management, real-time trading systems and policy analysis.

CCFEA is administered by the 5* Department of Economics and the Department of Computer Science, with support from Accounting, Finance and Management; Electronics Systems Engineering and Mathematical Sciences.

The MSc entry requirement is a 2.1 or equivalent in Physics, Computer Science, Engineering, Statistics, Mathematics or Quantitative Economics/Finance.

The PhD programme attracts high calibre students with a Masters in quantitative subjects. PhD topics cover: Trading Algorithms; Dynamic Risk Management; Agent-Based Modelling; Network Adoption Games; E-Commerce Negotiation; Globalisation and Regulation of Capital Markets.