University of Leicester
Financial Mathematics and Computation
2.1 degree (or equivalent) in maths, sciences, or engineering. We will consider a 2.1 degree in a social science (e.g. economics) on an individual basis, depending on the amount of mathematical subjects applicants have covered. Applicants will need a fairly solid background in maths including an understanding of calculus, linear algebra, ordinary differential equations, probability and statistics.
Core include: financial mathematics 1; financial mathematics 2; C++ programming; financial risk; scientific computing; computational methods for partial differential equations; dissertation. Option modules (2 from the following including at least 1 from mathematics): operational research; actuarial mathematics; generalised linear models; data mining; advanced methods of derivative pricing; game theory; international money and finance; financial econometrics; corporate finance.
A mixture of coursework assignments, oral presentations and written examinations is used to assess the programme.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||October 2016||GBP 9,310 per Year 1 (EU)||1 years|
|MSc||Full-time||October 2016||GBP 9,310 per Year 1 (England)||1 years|
|MSc||Full-time||October 2016||GBP 17,465 per Year 1 (International)||1 years|
|MSc||Full-time||October 2016||GBP 9,310 per Year 1 (Northern Ireland)||1 years|
|MSc||Full-time||October 2016||GBP 9,310 per Year 1 (Scotland)||1 years|
|MSc||Full-time||October 2016||GBP 9,310 per Year 1 (Wales)||1 years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|University of Leicester||Leicester||LE1 7RH||East Midlands|
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