Quantitative Finance (Taught)

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.

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.

The form of assessment varies from class to class and normally involves both coursework and examinations.