Course summary
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.
Modules
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
The mathematics modules of the course are assessed by: Examinations Coursework Written reports Oral reports Programming tasks The economics modules of the course are assessed by: Examinations Coursework You will be awarded the Master of Science Degree provided you have successfully completed the taught stage by achieving a weighted average mark of at least 50% with no more than 40 credits below 50% and no more than 20 credits below 40%.
Entry requirements
2:1 in mathematics, physics or engineering Portfolio 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.. 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
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
For fee information, see www.nottingham.ac.uk/fees
Provider information
University of Nottingham
University Park
Nottingham
NG7 2RD
Course contact details
Visit our course pagePostgraduate admissions
+44 (0) 115 951 5559