Course summary
Designed to equip students with the skills needed to launch a successful career in finance, this MSc brings together the expertise of two academic departments and is taught by lecturers with considerable experience in investment banking and financial markets. Students will learn to apply a wide range of mathematical and statistical techniques to model the behaviour of the financial markets. This rigorous training will prepare graduates for a career in fields such as quantitative analysis, trading, financial engineering and structuring, risk management, and software development. Students will also gain a clear understanding of modern financial mathematics, together with a range of numerical and computational techniques that form an important part of the toolkit of a typical practitioner. This includes learning about the structure of financial instruments and the operations of the markets, foundations of mathematical modelling in finance, statistical techniques for analysing time series data, and introductory computer programming in C++. In addition to academic work, will benefit from a host of extracurricular activities to help develop the key skills sought by financial institutions.
Modules
Please refer to our website for information on modules related to this programme
Entry requirements
Please visit our website: https://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/financial-mathematics-msc/
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS