5Nov
PostgraduateCourse summary
The MSc in Quantitative Finance has been developed to address the demand for market-aware graduates who can demonstrate an understanding of mathematical models used in financial tools, products and software. The course is an innovative cross-faculty alliance between Strathclyde Business School and the Faculty of Science. It's been designed for those with a strong aptitude for mathematics, statistics and computing who haven't studied these topics in detail in their undergraduate degree. The course allows students with different degree backgrounds to learn the necessary skills to move into the financial industry. The programme will prepare you for a career in financial engineering and risk management leading to roles as hedge fund manager or financial analyst.
Modules
Compulsory modules: Foundations of Probability & Statistics; Principles of Finance; International Financial Markets & Banking; Big Data Technologies; Financial Stochastic Processes; Quantitative Finance Research Project Optional modules: You will take 50 credits of optional modules, choosing 20 credits of modules from each of Lists A and C and 10 credits from List B List A Behavioural Finance; Fixed Income Analysis; Equity Analysis; Portfolio Theory & Management; Derivatives & Treasury Management; List B Networks in Finance; Financial Econometrics; Statistical Machine Learning; List C Database & Web Systems Development; Machine Learning for Data Analytics; Evolutionary Computation for Finance.
Assessment method
The form of assessment varies from class to class and normally involves both coursework and examinations.
Entry requirements
Minimum second-class honours degree or international equivalent in: engineering; science subjects (e.g. physics, chemistry or computing science); business subjects (e.g. business studies, accounting or economics. Mathematics/statistics graduates should contact the course director to discuss their application. Prospective students with relevant experience or appropriate professional qualifications are also welcome to apply. For Australia and Canada, normal degrees in relevant disciplines are accepted.This MSc requires some prior mathematical knowledge for example: A Level or equivalent or undergraduate classes in: Calculus Linear Algebra Differential equations Probability Statistics You must have an English language minimum score of IELTS 6.0 (with no component below 5.5).
Fees and funding
Tuition fees
| England | £19300 | Year 1 |
| Northern Ireland | £19300 | Year 1 |
| Scotland | £19300 | Year 1 |
| Wales | £19300 | Year 1 |
| Channel Islands | £19300 | Year 1 |
| Republic of Ireland | £19300 | Year 1 |
| EU | £33600 | Year 1 |
| International | £33600 | Year 1 |
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
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Sponsorship information
www.strath.ac.uk/studywithus/scholarships/
Provider information
University of Strathclyde
McCance Building
16 Richmond Street
Glasgow
G1 1XQ