
Colchester, United Kingdom
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:;I want to find another Master Course;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;You also graduate with an understanding of the use of artificial financial market environments for stress testing, and the design of auctions and other financial contracts.;Your future;We have an extensive network of industrial contacts through our City Associates Board and our alumni, while our expert seminar series gives you the opportunity to work with leading figures from industry.;The recent Computational Finance graduates at the University of Essex have gone on to become risk analysts and managers, asset managers, managing directors and CEOs at a range of global, national and regional organisations, including HSBC, London Stock Exchange and Deutsche Bank.;Get more details;Visit official programme website
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Check Insurance PlansBased on current data, Computational Finance at University of Essex has a total cost of ₹36,25,388 and an estimated ROI (including loan interest) of 142% over a 12-months program. University of Essex's median graduate package is ₹56,47,256.
University of Essex requires a minimum TOEFL iBT score of 88 or an IELTS score of 6.0, along with a GPA of 2.12. GRE is recommended with a minimum score of 318 and GMAT is not required for this program.