The MSc in Mathematical Finance is a specialist one-year postgraduate taught masters programme aimed at providing graduate students and professionals with a rigorous training and strong analytical and quantitative skills in finance. This intensive programme will introduce you to the mathematics used by practitioners in the field. It covers a wide range of analytical tools applied in quantitative asset pricing and financial derivatives. The programme is offered full-time over one year or part-time over two.

The programme is designed for high calibre science and engineering graduates who aim to pursue careers as quantitative analysts in the private sector, government or financial institutions. You will learn about financial modelling, asset pricing theory, and financial risk management, as well as more theoretical subjects such as the theory of stochastic processes and stochastic analysis. Scientific computing and programming is an important element of this programme.

This MSc will prepare you for a wide range of careers, especially in the banking and finance sector, as well as marketing, public services, consultancy, industry and commerce.

The MSc is offered jointly through the School of Mathematical Science and the School of Economics & Finance.

Course structure

Pre-Sessional	Semester  A	Semester B	Post Semester B
2-week introductory maths and statistics course.	Computational Methods in Finance MTH770P	Stochastic Calculus and Black Scholes Theory MTH772P	10,000 word dissertation
	Foundations of Mathematical Modelling in Finance MTH771P	Advanced Asset Pricing Modelling ECOM044
	Investments ECOM065	Financial Derivatives ECOM026
	Option	Option

See below for module options

Module options

Semester A

• ECOM014 Time Series Analysis
• MTHM736 Mathematical Statistics
• ECOM050 Investment Management
• ECOM003 Econometrics A
• MTHM007 Measure Theory and Probability

 

Semester B

• MTH773P Advanced Computing in Finance
• ECOM055 Risk Management in Banking
• MTH774P Portfolio Theory and Risk Management
• ECOM025 Financial Econometrics
• MTHM042 Bayesian Statistics

Assessment

Examinations are held between May and early June on the modules taken. Dissertations are evaluated in September. Successful completion of the MSc programme will result in the award of the degree of MSc in Mathematical Finance (possibly with Merit or with Distinction).

Each MSc Mathematical Finance student is required to complete a 60 credit project dissertation. A typical MSc project dissertation consists of about 30 word-processed pages (10,000 words), securely bound, covering a specific research-level topic in financial mathematics or economics, usually requiring the student to understand, explain and elaborate on results from one or more journal articles. An MSc project may also involve computation.

Entry requirements

The normal entry requirement for the MSc in Mathematical Finance is the equivalent of a British first or good upper second class honours degree in a subject with a substantial mathematical component: for example, mathematics, statistics, physics, economics, computer science or engineering.

Non-native English speakers are required to have minimum of IELTS 6.5 or equivalent. More information on our language requirements can be found on our web pages for international students at www.qmul.ac.uk/international/englishlanguagerequirements.

How to apply

Apply online (Full time)
Apply online (Part time)

Applications should be made on official application forms. There are two ways to apply:

Apply online - using our online application form. This is the preferred method of application, visit www.qmul.ac.uk/postgraduate/apply or click the direct links above.

Paper-based application

To request a paper-based Queen Mary postgraduate application form, please contact the Postgraduate Administrative Officer by emailing maths-pg@qmul.ac.uk, or by writing to the address below.

Completed applications, including university transcripts and references, should be returned as soon as possible, and no later than August, to:

Administrative Officer (Postgraduate Studies and Research)
School of Mathematical Sciences
Queen Mary, University of London
Mile End Road
London E1 4NS
UK

International applicants are advised to apply as early as possible.

 

Further information

For further information please visit the Mathematical Science department website:

http://www.maths.qmul.ac.uk/postgraduate/msc-mathematical-finance

Administrative Officer (Postgraduate Studies and Research)
Tel: +44 (0)20 7882 5454
email: maths-pg@maths.qmul.ac.uk

Career opportunities

The MSc in Mathematical Finance programme will prepare students for a wide range of careers, especially in the banking and finance sector, as well as marketing, public services, consultancy, industry and commerce. The analytic and computing skills acquired throughout the programme are much valued in the financial sector and a number of recent graduates from the School of Mathematical Sciences have gone on to work for companies such as the Royal Bank of Scotland, HSBC, Procter and Gamble, Barclays Capital, JP MorganChase and EDF Energy. First destinations of School of Economics and Finance graduates include some of the most prestigious universities in UK, continental Europe and Asia; several independent economic research centres and private institutions; many governmental research departments and regulatory bodies, such as the antitrust authorities and the financial regulatory agencies; some international institutions such as the European Central Bank, the Bank of England, the European Commission, the International Monetary Fund and the World Bank. Queen Mary’s careers service is run by a team of dedicated and professional staff. They offer advice through drop-in sessions and in-depth interviews, and run an extensive programme of seminars covering topics such as: interview skills; how to deal with psychometric tests; and surviving assessment centres. You will also be able to use the College’s extensive Careers Library. To find out more, please visit www.careers.qmul.ac.uk.

External brochure