Study Details: MSc 1 year full-time
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.
The programme uses modern machine learning techniques for you to learn how to apply them to computational and financial mathematics. This provides hands-on experience using some of the latest software tools and libraries, as used by leading organisations from the industry.
This MSc at Nottingham can provide many career opportunities in sectors 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.
The ability to think logically and critically combined with your problem-solving expertise gained on the course will prepare you for future employment.
Our graduates have gone on to work as business analysts, data scientists and trading analysts.
They work for organisations across the UK and worldwide:
Core modules
Optional stream 1: Mathematics, Statistics and Computing
Optional stream 2A: Econometrics
Optional stream 2B: Microeconomics
Optional stream 2C: Big data economics
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...