Taught course

Quantitative Finance

University of Strathclyde · Department of Mathematics

Entry requirements

An honours degree, or equivalent, in accounting, economics, engineering, business studies or a subject area with a strong quantitative element would be preferred for this programme. Alternatively, applications would be welcomed from those individuals with appropriate professional qualifications, or those who can demonstrate relevant practical experience.

Months of entry


Course content

Globally, financial tools, products and software are become increasingly complex and sophisticated, and there is a need for the finance industry to self-regulate as it witnesses unprecedented growth. Market-aware finance graduates, who can clearly demonstrate an understanding of the mathematical models used to develop these products and their computer implementations, will be much in demand by international organisations.

Addressing this need, an innovative cross-faculty alliance between two faculties at the University of Strathclyde - Strathclyde Business School and the Faculty of Science - have developed a new specialism for its existing portfolio of accounting and finance masters programmes: the MSc Quantitative Finance.

Drawing on expert academic input from three departments - Accounting and Finance, Mathematics and Statistics, and Computer and Information Sciences - this one year programme has been developed to fully prepare students for careers within areas such as financial engineering and risk management, and for highly quantitative roles, such as hedge fund managers and financial analysts.

The programme will provide participants with:

A good understanding of financial theory and analysis
An appreciation of the nature and functioning of financial markets and institutions
A theoretical and practical understanding of numerical methods in finance, in particular those related to simulations of stochastic processes in finance, financial time series analysis, and financial applications of game theory
An introduction to programming for financial applications
An understanding of the role of computer systems in managing complex business processes

Qualification and course duration


full time
12 months


full time
9 months

Course contact details

Prof Tony Mulholland
0141 548 2971