Financial and Computational Mathematics

Entry requirements

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.

Months of entry

September

Course content

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:

• investment and commercial banking
• quantitative and actuarial analysis
• hedge fund management
• research in academia and industry

Course structure

The programme includes teaching expertise from the School of Mathematical Sciences and the School of Economics. You will study core modules including:

• Financial Mathematics
• Computational Applied Mathematics,
• Scientific Computing and C++

Choose optional modules such as Statistical Machine Learning or Economics of Corporate Finance to suit your interests. Expert teaching staff will support you and guide you through your written dissertation.

A highlight of the course is our partnerships with leading industry and academic experts. The panel includes individuals from Credit Suisse, Oxford University and other organisations, to ensure the degree remains relevant and up to date with changes in quantitative finance.

Representatives from companies such as Bloomberg, Capital One, HSBC and PwC also provide guest lectures during the year.

Research Excellence Framework 2021

• 97% of our research outputs are rated as 'world-leading' or 'internationally excellent'
• The school was placed in the top 3 for quality of research environment across all mathematical sciences units in the UK
• 100% of the impact from the school is rated as either ‘world-leading’ or ‘internationally excellent’

This is highlighted in our commitment to attracting bright minds and inspiring academics to conduct mathematical research throughout the department.