• Ross University School of Veterinary Medicine Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • University of Southampton Featured Masters Courses
  • Swansea University Featured Masters Courses
  • Jacobs University Bremen gGmbH Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • Anglia Ruskin University Featured Masters Courses
  • Goldsmiths, University of London Featured Masters Courses
Middlesex University Featured Masters Courses
Nottingham Trent University Featured Masters Courses
Cass Business School Featured Masters Courses
Queen Mary University of London Featured Masters Courses
University of Glasgow Featured Masters Courses

Course content

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 high performance and GPU development.

Full time students will take four modules per semester as well as completing a 10,000 word dissertation. There are also pre-sessional modules in mathematics and financial markets providing a good opportunity for students to catch up with the necessary prerequisite knowledge.

Visit the MSc in Financial Computing page on the Queen Mary University of London website for more details!

Loading...

Loading...

Loading...

Loading...


Enquire About This Course

Recipient: Queen Mary University of London

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully




Cookie Policy    X