Royal Holloway, University of London

Course Introduction

This degree, offered by the Department of Computer Science and the Department of Economics, allows you to specialize in modern quantitative finance and computational methods for financial modelling, which are demanded for jobs in asset structuring, product pricing as well as risk management. Skills that you will acquire include the ability to: analyze, critically evaluate, and apply methods of computational finance to practical problems, including pricing of derivatives and risk assessment; analyze and critically evaluate methods and general principles of computational finance and their applicability to specific problems; work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks; analyze and critically evaluate applicability of machine learning algorithms to problems in finance; implement methods of computational finance and machine learning using object-oriented programming languages and modern data management systems; work with software packages such as MATLAB and R ; work with Relational Database Systems and SQL.

Our graduates enter into successful careers in academia or in companies or organisations operating in highly competitive areas. In recent years, these have included Amazon, American Express, BGL Group, Bupa, Capita, Centrica, EY, Facebook, Google, Hortonworks, JP Morgan, Microsoft, ONS, PWC, QuintilesIMS, Rolls Royce, Shell, UBS, VMware, Xerox and the Z/Yen Group. In addition to the support provided by The Careers and Employability Service, the department has a dedicated administrator and an academic who coordinates and oversees placements and job opportunities.

Strong industry ties help to provide placement and networking opportunities with some of the country?s leading institu­tions. Together with our on-site Careers and Employability Service, we run one-to-one coaching sessions and workshops, helping you to find a placement or job and lead a successful career.

Start Date:

The study period is between 2-5 years..

Duration & Attendance Qualification Tuition fees Fee type
1 year
Full Time
MSc £11,300 Home Fees
1 year
Full Time
MSc £11,300 European Fees
1 year
Full Time
MSc £20,500 Overseas Fees
2 years
Part Time
MSc £5,650 Home Fees
2 years
Part Time
MSc £5,650 European Fees
2 years
Part Time
MSc £10,250 Overseas Fees

Qualifications required:

  • Domestic entry requirements: Students need to have 2:1 in Computer Science, Economics, Mathematics, Physics, or another subject that includes a strong element of both mathematics and computing. Normally we require a UK 2:1 (Honours) or equivalent in relevant subjects but we will consider high 2:2 or relevant work experience. Candidates with professional qualifications in an associated area may be considered. Where a ?good 2:2? is considered, we would normally define this as reflecting a profile of 57% or above.
  • International entry requirements: Students need to have IELTS: 6.5 overall. No subscore lower than 5.5; Pearson Test of English: 61 overall (Writing 54). No subscore lower than 51; Trinity College London Integrated Skills in English (ISE): ISE III.