
Egham, United Kingdom
Skills that you will acquire include the ability to:;analyse, critically evaluate, and apply methods of computational finance to practical problems, including pricing of derivatives and risk assessment;analyse and critically evaluate methods and general principles of computational finance and their applicability to specific problems;work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks;analyse and critically evaluate applicability of machine learning algorithms to problems in finance;Career opportunities;Our graduates from the Computational Finance course at Royal Holloway University of London enter into successful careers in academia or in companies or organisations operating in highly competitive areas. In recent years, these have included Amazon, American Express, BGL Group, Bupa, Capita, Centrica, EY, Facebook, Google, Hortonworks, JP Morgan, Microsoft, ONS, PWC, QuintilesIMS, Rolls Royce, Shell, UBS, VMware, Xerox and the Z/Yen Group.;I want to find another Master Course;Get more details;Visit official programme website
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Check Insurance PlansBased on current data, Computational Finance at Royal Holloway University of London has a total cost of ₹60,25,500 and an estimated ROI (including loan interest) of 108% over a 12-months program. Royal Holloway University of London's median graduate package is ₹71,40,058.
Royal Holloway University of London requires a minimum TOEFL iBT score of 88 or an IELTS score of 6.5, along with a GPA of 2.60. GRE is not required and GMAT is not required for this program.