Financial Mathematics and Computation

MSc, 1 year, full-time

This is for you if... you want to study financial mathematics at an advanced level.

Course Description

Quantitative finance is widely recognised as a rapidly expanding market for mathematical and scientific skills. Financial Mathematics is an application of mathematical methods to financial markets and risk management, using advanced computer technology to predict the behaviour of the markets and suggest strategies for investment. The focus of this MSc is on computational techniques for finance, on mathematical modelling and on mathematical and economic theories of finance.

On this course you will learn how to formulate problems from finance in mathematical terms, select and develop an appropriate numerical method, use programming skills to implement the method and compute results, and finally to present and interpret these results for a potential client.

Key Facts
Start date
October each year
Mathematics, Computer Science, Economics

MSc Financial Maths Admissions
+44 (0)116 252 389

Department of Mathematics website

Why Leicester?

This postgraduate degree is a collaboration between our Departments of Mathematics and Economics, both of which are noted for the strength of their research and teaching.

The Department of Mathematics at Leicester carries out research, training and postgraduate teaching in finance, risk management, dynamical systems, computational modelling, actuarial science, data analysis, algebra, topology and associated fields.

We have more than 50 postgraduate research students, over 80 postgraduate taught students and in excess of 100 students studying by distance learning.

The Department provides a stimulating academic environment where you can develop your knowledge and skills, and contribute to a wider understanding of the subject area.

Course Structure

  • Semester 1

    Core modules

    Option modules

    Choose one option module from:

    • Models
    • Mortality
    • Advanced Readings in Mathematics
    • Statistics
    • Operations Research
    • Principles of Finance
    Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.
  • Semester 2

    Core modules

    Option modules

    Choose one option module from:

    Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.
  • Project

    Over the summer, some projects will be carried out as an internship in association with a bank, finance house, hedge fund, consultancy or systems provider in the industry. These internship opportunities will lead to a significant upgrading of your career prospects.

    Examples of recent projects and the financial institutions which hosted them:

    • Time Series Analysis: Analysing Stability and Modelling Future Correlation (CitiGroup)
    • Relative Pricing of Interest Rate Derivatives: Interest Rate Cap and Swaption (CitiGroup)
    • Market Data Analysis Tool, with specific focus on Negative-Rate Handling (CitiGroup)
    • Evaluating the Perfomance of Mortgage Underwriters (Santander)
    • Exotic Derivative Counterparty Risk (CitiGroup)
    • Counterparty Credit Risk Exposure Interpolation (CitiGroup)
    • The effect of Implied Volatility Skew on Quanto and Composite Option Pricing (Daiwa Capital Markets Eurpoe)
    • Proprietary Trading in Equity Market (Daiwa Capital Markets Europe)

Additional Information

What's the difference?

If you complete the modules but not the project, you will qualify for a Postgraduate Diploma (PGDip). If you complete only some of the modules, you may qualify for a Postgraduate Certificate (PGCert). 

Teaching and Assessment

Teaching methods include lectures, seminars and computer practicals. Assessment is a mixture of coursework assignments, oral presentations and written exams.

Entry Requirements

2:1 degree (or equivalent) in Maths, Sciences, or Engineering. We will consider a 2:1 degree in a social science (e.g. Economics) on an individual basis, depending on the amount of mathematical subjects you have covered. You will need a fairly solid background in maths including an understanding of calculus, linear algebra, ordinary differential equations, probability and statistics. If your maths isn't quite up to scratch, you should consider taking our one-year Pre-Masters Diploma from which you can progress straight onto the MSc.

English Language Requirements

IELTS 6.0 or equivalent. If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.

International Qualifications

Find your country in this list to check equivalent qualifications, scholarships and additional requirements.

Countries list

Fees and Funding

  • Starting in October 2016

    • £9,310
  • Starting in October 2016

    • £17,465

Career Opportunities


Our Career Development Service is here to support you, with advice on interviews, CVs, work experience, volunteering and more. From Freshers’ Week to Graduation and beyond, they are here to help you reach your professional goals.

Course Qualification Duration Start Dates Availability
Financial Mathematics and Computation MSc 1 year full-time October Apply Now
Financial Mathematics and Computation
1 year full-time
Start Dates

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