關於課程
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.
Duration: 2 years full time
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開始日期及學費
如何申請
Entry requirements for 倫敦大學皇家哈洛威學院
Computer Science, Economics, Mathematics, Physics, or another subject that includes a strong element of both mathematics and computing. Normally we require a UK 2:1 (Honours) or equivalent in relevant subjects but we will consider high 2:2 or relevant work experience. Candidates with professional qualifications in an associated area may be considered. Where a ‘good 2:2’ is considered, we would normally define this as reflecting a profile of 57% or above.
IELTS 6.5 overall with a minimum of 5.5 in all other subscores. TOEFL ib: 88 overall, with Reading 18 Listening 17
English language requirements
托福(TOEFL iBT)總分: 88.0
最後申請期限:
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