School of Mathematical Sciences

MSc Financial Computing

This unique 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.

Financial institutions rely on a functional blend of Mathematics, Technology and Finance to develop, enhance and sustain their competitive edge. The financial industry is undergoing a second wave of technological transformation related in particular to the establishment of electronic trading platforms; improved risk management and pricing accuracy; the high performance computing implications of expanding regulatory requirements.

As a result there is increasing demand for numerate and technologically capable personnel from a wide range of top employers including investment banks, hedge funds, financial software companies, brokerage firms and consultancy firms. Other business lines are now developing similar paradigms where numerate, technologically able personnel are part of business innovation and decision-making.

The Financial Computing MSc is run jointly by the School of Mathematical Sciences and the School of Electronic Engineering and Computer Science. It is aimed at science and engineering graduates with mathematical exposure and some experience in computer programming. The content of the programme is a combination of technology and financial mathematics. It contains modules related to up-to-the-minute industry challenges such as machine learning and big data processing.

The programme is offered:

Why study with us?

  • Queen Mary is a member of the prestigious Russell Group of leading UK universities, combining world-class research and teaching excellence
  • You will be taught by distinguished academics and experienced practitioners who blend advanced theory with practical applications
  • You will study in recently refurbished MSc student offices, with state-of-the-art computers and software
  • We are conveniently located in central London, in close proximity to the two world renowned financial districts of the City of London and Canary Wharf
  • We offer £3000 scholarships to top overseas applicants for 2019 entry.  More information will be available on our scholarships webpages shortly
  • We have new postgraduate student accommodation available from September 2018

Our links with industry

The Bank of England regularly visits QMUL as part of our MSc Industry talks

Citi sponsor Maths careers events on campus

You will have the option to take the Bloomberg Market Concepts qualification, and will have access to Bloomberg terminals in our Computing Lab

We offer all students the opportunity to take the prestigious Microsoft Office Specialist qualification

Programme Director

This MSc programme is directed by Dr Michael Phillips, Senior Lecturer in Financial Mathematics.  Prior to joining Queen Mary in 2012, Michael worked for over 10 years as a quantitative analyst and software engineer for a number of well-known investment banks in the City of London.  There he developed state-of-the-art pricing models for a wide range of financial products, including interest rate derivatives, commodity options and exotic credit derivatives.  He has also spent time working on a bond trading desk, devising trading strategies using proprietary statistical arbitrage techniques.  Michael is a graduate of Cambridge University, and holds a PhD from Brunel University (London) in Mathematical Physics.

Student profileMincai Hu profile

Mincai Hu (MSc Financial Computing graduate, 2017)

“Financial Computing is an exciting area to work in – there are lots of opportunities to develop skills which are desirable to the industry, like programming and mathematical modelling”