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Course 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.


Core modules will focus on finance and computational techniques used across the sector. You will also choose options to specialise in your area of interest. You'll gain specialist knowledge and practical skills in your chosen pathway. You can select from: Stream 1 Mathematics, statistics and computing This pathway enables you to explore topics in linear programming, network and graph algorithms. There is an emphasis on using models to make predictions based on data. You may choose to study methods in clustering, dimension reduction, regression and classification. Stream 2A Econometrics By choosing this stream, you could learn the main techniques of econometric theory. You may choose to focus on business cycle fluctuations, wage, price and employment determination. Portfolio choice and stock market returns are also considered. Stream 2B Microeconomics This stream enables you to specialise on the practical application of mathematical techniques and models relevant to the financial needs of firms. You may choose modules looking at the relationship between the financial sector and the real economy. Stream 2C Big data economics This stream is focused towards the growth in big data and being able to interpret the outputs from an economic perspective.

Assessment method

Assessment methods include the dissertation.

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)

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

For fee information, see
Financial and Computational Mathematics MSc at University of Nottingham - UCAS