12 monthsProgramme duration
30,750 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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
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++
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’
Programme overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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
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++
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’
Admission 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.
Tuition fees
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International
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