Taught course

Financial Computing

Institution
Queen Mary, University of London · Mathematical Sciences
Qualifications
MSc

Entry requirements

The normal entry requirement for the MSc in Financial Computing is the equivalent of a British first or good second class honours degree in a subject with a substantial mathematical component: for example, mathematics, statistics, physics, engineering, economics, or computer science. We will assess your suitability for the programme individually. Please be aware that the Admissions Tutor may require further information from you regarding your mathematical background. For further questions please contact us at maths-pg@qmul.ac.uk.

Months of entry

September

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.

The programme is offered full-time over one year or part-time over two.

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, hot desk areas, a study lounge and Mathematical Finance resources room.
  • 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 a bi-annual work-friendly part-time route, which limits the attendance on campus to just one single afternoon and one evening per week during term-time, with the remaining study time freely distributed.

To apply for the MSc in Financial Computing please see the entry requirements and application procedure.

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.

Information for international students

Overseas students may be eligible to apply for a range of external scholarships and we also provide information about relevant funding providers in your home country on our country web pages.

Fees and funding

UK students
http://www.qmul.ac.uk/postgraduate/tuitionfees/index.html
International students
http://www.qmul.ac.uk/international/international-students/tuitionfees/index.html

here are a number of sources of funding available for Masters students.

These include a significant package of competitive Queen Mary University of London (QMUL) bursaries and scholarships in a range of subject areas, as well as external sources of funding.

Queen Mary bursaries and scholarships

We offer a range of bursaries and scholarships for Masters students including competitive scholarships, bursaries and awards, some of which are for applicants studying specific subjects.

Find out more about QMUL bursaries and scholarships.

Alternative sources of funding

Home/EU students can apply for a range of other funding, such as Professional and Career Development Loans, and Employer Sponsorship, depending on their circumstances and the specific programme of study.

For further details, visit http://www.qmul.ac.uk/postgraduate/coursefinder/courses/155455.html

Qualification and course duration

MSc

part time
24 months
full time
12 months

Course contact details

Name
Postgraduate Coordinator
Email
maths-pg@qmul.ac.uk
Phone
+44 (0)20 7882 5468