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Financial and Computational Mathematics MSc

Financial and Computational Mathematics MSc

Different course options

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Financial Management / Accounting Computational Mathematics / Cybernetics

Course type


Course Summary


  • the course is aimed to equip graduates with the skills and knowledge required to work in the financial sector
  • the degree has its own advisory board consisting of leading experts from the financial industry and academia to ensure the course stays relevant
  • taught by experts from the School of Mathematical Sciences and the School of Economics
  • you will benefit from an industry-engaged course, with regular talks and workshops from industry partners and academics from the University of Nottingham
  • choose optional modules that reflect your future career ambitions

Financial mathematics is a branch of mathematics where advanced mathematical and statistical methods are developed for and applied to financial markets and financial management. Its main aims are to quantify and hedge risks in the financial marketplace.

Effective computational methods are crucial for the successful use of mathematical modelling in finance. This course is designed to reflect this combination of knowledge and skills so that graduates are well equipped to enter the competitive job markets of quantitative finance and related fields.?Optional modules equip graduates with foundations of data analytics.

Applicants should have a solid background in mathematics including calculus, linear algebra, ordinary differential equations and probability and statistics at degree level.


This course offers a solid grounding in financial mathematics and will prepare you for quantitative roles in banks and other financial institutions dealing with risk analysis and management.

The course also provides training suitable for admission on PhD programmes in financial mathematics and quantitative finance.


This first part of the module introduces no-arbitrage pricing principle and financial instruments such as forward and futures contracts, bonds and swaps, and options. The second part of the module considers the pricing and hedging of options and discrete-time discrete-space stochastic processes. The final part of the module focuses on the Black-Scholes formula for pricing European options and also introduces the Wiener process. Ito integrals and stochastic differential equations.

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

Applicants should have a 2:1 (upper second class honours degree or international equivalent) in mathematics, physics or engineering. A strong mathematics background is essential. In exceptional cases applicants with a 2.2 (lower second class honours degree or international equivalent) with substantial mathematical content may be considered.