Taught course

Financial Computing

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

Entry requirements

The majority of our applicants will have an undergraduate degree with first class or upper second class honours (or international equivalent). Offers will typically be made at 2.1 level (upper second class) or equivalent. Students with a good lower second class degree may be considered on an individual basis. In some cases your offer may include additional conditions, such as minimum grades in specified modules, in order to ensure that you are sufficiently qualified for our MSc programmes.

Students applying to this programme should have studied a subject with a substantial mathematical component at the undergraduate level. We welcome those from a variety of relevant disciplines, including mathematics, statistics, physics, engineering, economics and computer science.

Months of entry

September

Course content

Financial institutions rely on a blend of mathematics, technology and finance to develop, enhance and sustain their competitive edge.

This unique programme is delivered jointly with the School of Electronic Engineering and Computer Science, and allows numerate graduates to develop the skills and knowledge needed for a professional career in the profitable and intellectually challenging intersection of mathematics, finance and technology.

Due to new electronic trading platforms, improved risk management and pricing accuracy, as well as the high-performance computing implications of enhanced regulatory requirements, the financial industry is undergoing a second wave of technological transformation. As a result, there is a high demand from investment banks, hedge funds, financial software companies, brokerage and consultancy firms, and other businesses for graduates who have both excellent numerical and tech skills.

The Financial Computing MSc is aimed at science and engineering graduates with mathematical and computer programming experience.

Structure

You’ll study a range of topics relating to the modern, high-tech world of banking and finance, including big data, machine learning, and financial programming.

During your studies you will have the opportunity to undertake professional certifications, including Microsoft Excel Specialist Certification and SAS.

We offer the option to undertake a year-long paid work placement during your studies by choosing MSc Financial Computing with Industrial Experience.

Fees and funding

UK students
See website
International students
See website

qmul.ac.uk/scholarships

Qualification and course duration

MSc

part time
24 months
full time
12 months

Course contact details

Name
School of Mathematical Sciences
Email
maths@qmul.ac.uk
Phone
+44 (0)20 7882 5468