Queen Mary University of London
This programme provides numerate graduates with the requisite expertise for the development of a professional career in the profitable and intellectually exciting triangle formed by mathematics, technology and finance.
An undergraduate degree (minimum 2nd Class Honours degree or equivalent) in mechanical engineering or a related discipline. IELTS 6.5 or equivalent.
Industrial placement semester a core modules: financial programming; foundations of mathematical modelling in finance; advanced program design. Semester a elective modules: functional programming; big data processing; machine learning; semester b core modules: topics in scientific computing; semester b elective modules: general processing on graphics processor unit (GPU); advanced c++ course; stochastic calculus and black Scholes theory; advanced portfolio theory and risk management; advanced computing in finance; the project.
Examinations are held between May and early June on the modules taken. Students are assessed on a 10,000-word dissertation. This includes the project, a report and a viva.
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School of Mathematical Sciences
020 7882 5468