UCL (University College London)
An upper 2nd class UK Honours degree (or equivalent overseas qualification) in computer science, mathematics, statistics, physics, engineering or a similarly quantitative subject. Programming experience is an advantage but is not mandatory. Relevant work experience is also taken into account.
Core modules: programming and mathematical methods for machine learning or introductory programming, depending on entry qualification; stochastic processes for finance; financial data and statistics; financial market modelling and analysis. Options: algorithmics; applied computational finance; database systems; financial institutions and markets; forecasting; market risk measures and portfolio theory; networks and systemic risk; numerical analysis for finance; operational risk measurement for financial institutions; programming and mathematical methods for machine learning; quantitative and computational finance; software engineering.
The programme is delivered through a combination of lectures, tutorials, seminars, and project work. It comprises two terms of teaching, followed by examinations an a dissertation. Assessment is through coursework, unseen examinations and a dissertation.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||September 2016||GBP 17,190 per Year 1 (England)||1 years|
|MSc||Full-time||September 2016||GBP 26,000 per Year 1 (International)||1 years|
|MSc||Full-time||September 2016||GBP 17,190 per Year 1 (Northern Ireland)||1 years|
|MSc||Full-time||September 2016||GBP 17,190 per Year 1 (Scotland)||1 years|
|MSc||Full-time||September 2016||GBP 17,190 per Year 1 (Wales)||1 years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|Bloomsbury Campus||Camden||WC1E 6BT||South East|
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