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University of Nottingham: Financial and Computational Mathematics
| Institution | University of Nottingham |
|---|---|
| Department | School of Mathematical Sciences |
| Web | http://www.nottingham.ac.uk |
| Telephone | +44 (0) 115 951 5559 |
| Study type | Taught |
Summary
Develop your understanding of advanced financial mathematics, combining skills in computational techniques. This course will teach you how mathematical theories and techniques are applied across the financial sector. There is a particular focus on how the methods are used across the financial sector to quantify and hedge risk.
You will be taught by experts from the School of Mathematical Sciences and the School of Economics. The MSc benefits from its own advisory board. It includes university staff and leading industry experts from Capital One and Bloomberg. The panel has an important role to ensure the course remains up-to-date with changes in quantitative finance. Representatives from the panel often provide guest lectures that you can attend throughout the year too.
Our staff are experts in advanced mathematical techniques, they provide support and one-to-one supervision during your dissertation. You will also benefit from practical experience using statistical software. This will develop your skills in mathematical modelling.
Scholarships are available for this masters to help support international students. If you meet the qualification criteria, you could entitled to up to £2,000 to help fund your studies.
The ability to think logically and critically combined with your problem-solving expertise gained on the course, will prepare you for future employment.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:1 (upper second class honours degree or international equivalent) in mathematics, physics or engineering. A strong mathematics background is essential. In exceptional cases applicants with a 2.2 (lower second class honours degree or international equivalent) with substantial mathematical content may be considered. IELTS: 6.5 (with no less than 6.0 in any element) |
| Location | University Park Campus University of Nottingham Nottingham NG7 2RJ |
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