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Financial Mathematics and Computation MSc

Financial Mathematics and Computation MSc

Key information

Qualification type

MSc - Master of Science

Subject areas

Financial Modelling Mathematics For Specific Applications

Course type


Course Summary

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

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

Different course options

Full time | University of Leicester | 1 year | SEP

Study mode

Full time


1 year

Start date



This module together with Financial Mathematics 2 will develop probabilistic tools to enable investors to value financial derivatives. Since there are no strict prerequisites on previous knowledge in probability and stochastics, the module contains mathematical preliminaries (probability space, random variables, distributions, independence, conditional expectation, random processes, simple random walks, Markovian property, martingales, stopping times). This module belongs to semester one.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


Entry requirements

Students need 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 they have covered. They will need a fairly solid background in maths including an understanding of calculus, linear algebra, ordinary differential equations, probability and statistics.

University information

As a top 25 UK University, Leicester has always been home to the great minds; academics, researchers and students who aren't afraid to challenge the status quo, advance new practices, and develop a fresh way of thinking. Through the ground-breaking research of their experts, you will tackle the emerging social, economic, political and scientific issues head on and set the agenda where others simply follow. At Leicester, students aren't...more