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 computational and statistical software will develop your skills in mathematical modelling.
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.
| Level | Masters |
| Discipline | Mathematics |
| Duration | 12 months |
| Intakes | Jan, Sep |
| Application Fees | GBP 50 |
| Tuition Fees | GBP 27200 |
| Campus | University Park |
| Language proficiency (minimum) | |
| IELTS | 6.5 |
|---|---|
| TOEFL | 90 |
| PTE | 71 |
| Duolingo | Not Accepted |
| Exam proficiency (minimum) | |
| SAT | Not Required / Waiver |
|---|---|
| ACT | Not Required / Waiver |
| GRE | Not Required / Waiver |
| GMAT | Not Required / Waiver |
Minimum GPA - 77.0%
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