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This masters in Quantitative Finance and Mathematics course introduces innovative modern mathematical techniques and financial modelling. It focuses on probability and stochastics, which are often not included in standard mathematics degrees. It’s been designed to include the practical and pragmatic aspects of mathematical finance – offering you relevant and modern skills relating to structured finance in demand in the UK and internationally. The aim is to understand, both quantitatively and qualitatively, the risks and uncertainty involved. And, the wide range of optional courses offers you the chance to tailor your learning experience to suit your interests.
This full-time Quantitative Finance masters course starts in mid September and lasts one year. The course can also be taken part-time over two years, or as a nine month Postgraduate Diploma.
We're proud to say our masters in Quantitative Finance and Mathematics exempts you from the examinations of the Professional Risk Managers International Association (PRMIA) Levels I and II – a world-renowned qualification. What’s more, you’ll have excellent employment prospects that will not be restricted to any one sector of financial services.
Students will take a total of 8 courses, 4 in each of the 1st and 2nd Semesters followed by a 3-month Project in the summer. A typical distribution for this programme is as follows:
- Modelling and Tools;
- Derivative Markets and Pricing;
- Research and Industry Topics.
- Statistical Machine Learning
- Functional Analysis (excludes F11DC and FUBC)
- Statistical Methods
- Financial Markets
- Quantitative Risk Analysis
- Stochastic Simulation
- Numerical Analysis (PDE's)
- Bayesian Inference
- Modern Portfolio Theory
- Advanced Derivative Pricing
- Time Series Analysis
- Financial Econometrics
- Applied Risk Management
Progression to the MSc project phase is dependent on assessed performance. Typical project topics may include:
- Applications of multilevel Monte-Carlo sampling in finance;
- An investigation of new numerical methods for stochastic interest rate models;
- Space time adaptivity for Fokker—Planck equations
Entry is aimed at graduates with strong mathematical knowledge and skills. A good honours degree in mathematics, statistics or a related subject with a substantial mathematical content is required. Motivation and a willingness to work hard are also important pre-requisites.
We are looking to train those who not only have a strong background in mathematics, but who also possess the ability to communicate effectively, and have the desire to succeed in a dynamic and competitive industry.
The programme is not suitable for finance professionals without graduate-level mathematical training.
English language requirements
If your first language is not English, or your first degree was not taught in English, we’ll need to see evidence of your English language ability. The minimum requirement for English language is IELTS 6.5 or equivalent. We offer a range of English language courses to help you meet the English language requirement prior to starting your masters programme:
- 14 weeks English (for IELTS of 5.5 with no more than one skill at 4.5);
- 10 weeks English (for IELTS of 5.5 with minimum of 5.0 in all skills);
- 6 weeks English (for IELTS 5.5 with minimum of 5.5 in reading & writing and minimum of 5.0 in speaking & listening)
Additional fees information
The tuition fee for this programme will be available shortly. Please contact our PG enquiries team above in the interim.
Scholarships and bursaries
We aim to encourage well-qualified, ambitious students to study with us and we offer a wide variety of scholarships and bursaries to achieve this. Over £6 million worth of opportunities are available in fee and stipend scholarships, and more than 400 students benefit from this support.
View our full range of postgraduate scholarships.