MSc Quantitative Finance

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MSc/PgDip in Quantitative Finance

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.

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.


Aims of the programme

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
Study themes

The curriculum provides a good balance between finance and mathematical theory, computer implementations of this theory, and practical skills and knowledge. Core classes are undertaken in the first semester, and address themes such as principles of finance and quantitative methods for finance, as well as foundation classes in mathematics, statistics and computing science.

At the elective stage, students will begin to tailor the programme to suit their own particular areas of interest and will be able to choose from a wide range of classes, offered by all three contributing departments.

Themes include:

  • Advanced corporate finance and applications
  • Derivatives and treasury management
  • Financial game theory and network analysis
  • Financial econometrics
  • Financial stochastic processes
  • Enterprise architectures
  • Business analytics
Contact us

For further information in the first instance´╗┐, and to register interest in this programme for 2013 entry, please contact:

Dr Tony Mulholland

Faculty of Science,
Department of Mathematics and Statistics,


Information about fees can be found here



for Sep 2015 entry to full-time MSc quantitative finance (Admission Code : MAMSC3)

Postgraduate entry requirements are in our prospectus.