The course teaches advanced financial mathematics combined with computational techniques. You’ll learn mathematical techniques and skills that are used across the financial sector to quantify and hedge risk. Practical experience of using statistical software will develop your skills in mathematical modelling.
The programme includes teaching expertise from the School of Mathematical Sciences and the School of Economics. You will study core modules including:
2:1 in mathematics, physics or engineering
Applicants should have a solid background in mathematics including calculus, linear algebra, ordinary differential equations and probability and statistics at degree level.
In exceptional cases, applicants holding a 2.2 with substantial mathematical content may be considered.
For fees and funding options please visit website to find out more
Our graduates have gone on to work as business analysts, data scientists and trading analysts.
They work for organisations such as:
The course also provides suitable training for a PhD in areas such as financial mathematics, quantitative finance, applied mathematics.
Core modules
Optional stream one: Mathematics, Statistics and Computing
Optional stream 2A: Econometrics
Optional stream 2B: Microeconomics
The University of Nottingham was founded on the vision and philanthropic spirit of Jesse Boot who, in 1928, donated the land that is now University Pa...