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Different course options

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Mathematics For Specific Applications Financial Modelling

Course type


Course Summary

Learn skills used for quantitative modelling positions, from structuring to pricing complex derivatives and fixed income securities on our Financial Mathematics master's course.


Who is it for?

To successfully complete the Financial Mathematics postgraduate course, you must have a very good understanding of mathematics. You may well have studied maths, physics or engineering degrees as an undergraduate.

Or you might have a bachelor’s degree in economics or science and in particular computer science, which, coupled with your interest in stochastics, could also qualify you for this programme.

You should have a general interest in learning the more technical and mathematical techniques used in financial markets; but you don’t need to have a background in finance.


The master's in Financial Mathematics focuses on stochastics and simulation techniques, but also covers some econometrics. You’ll study core modules covering asset pricing, risk management and an introduction to key financial securities such as equities, fixed income and derivatives.


What will you learn

  • You will have gained a very good understanding of the technical aspects used in financial markets, including wide ranging financial theory and different financial assets.
  • You will gain a good understanding of stochastic and mathematical finance and gained some knowledge of econometrics and forecasting. You will also have obtained a good understanding of programming, in particular Matlab.
  • From the MSc Financial Mathematics you will also understand how the theory is being applied in the financial industry and what practical issues are.

Career pathways

Career destinations for MSc Financial Mathematics

Our MSc Financial Mathematics master’s provides you with the opportunity to learn quantitative analysis using stochastic, technical risk management, fixed income security, preparing you for a variety of careers.

Our graduates are well qualified for successful careers within large investment banks, small specialist financial companies or boutique firms.


The course provides the essential statistical and econometric techniques needed to conduct quantitative research in finance and economics. This combination of econometric theory and application will enable you to understand and interpret empirical findings in a range of financial markets, including reading of empirical academic literature and critical assessment econometric applications undertaken by industry practitioners.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


International fees
Course fees for EU and international students

For this course (per year)


Entry requirements

A UK upper second class degree or above, or the equivalent from an overseas institution. Your academic background should be in a highly quantitative subject such as mathematics, physics, engineering, economics or computer science and having covered areas such as statistics, linear algebra and calculus. Work experience is not a requirement of this course.

Department profile

Bayes Business School (formerly Cass Business School) is one of City, University of London’s five Schools. Bayes (formerly Cass Business School) is part of an elite group of business schools to have been awarded triple accreditation by the Association to Advance Collegiate Schools of Business (AACSB), the Association of MBAs (AMBA) and the European Quality Improvement System (EQUIS). Our London home is the beating heart of an international...more

University information

City, University of London is a leading UK institution, offering an innovative programme of undergraduate and postgraduate degree courses which uphold the university’s commitment to enhance people’s lives through education. City is a research-driven university and has around 21,000 enrolled students, of which 45% are studying postgraduate qualifications. The university community is a diverse and international population home to students from...more

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