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Course content

This programme will help you develop an excellent understanding of statistics, along with advanced practical knowledge of financial markets. It will provide you with an enquiry-led understanding of interconnected subject areas in statistics and finance. It is ideally suited for graduates in mathematics, statistics, engineering, or a related discipline who wish to use their skills to pursue a career in finance.

Why this programme

  • There is an increased demand for professionals who can apply mathematical and statistical skills in the financial environment. This Masters in Financial Modelling is intended to develop your skills in statistics and enable you to successfully apply them to complicated financial modelling. 
  • It is a research driven programme where you will develop a critical awareness of financial theories, models and how capital markets work, together with an understanding of the evolving and challenging areas of market behaviour, risk management and international banking.
  • This programme combines the teaching strengths of the Statistics Group in the School of Mathematics & Statistics with the Adam Smith Business School’s accounting & finance department to develop and enhances your analytical, computation, evaluative and communication skills.
  • You will develop an excellent understanding of probability, statistical inference, time series and R programming along with practical skills of financial statistics.
  • You will be taught by academics who have internationally recognised research, as well as having access to Bloomberg terminals, prestigious financial databases and MATLAB.

Adam Smith Business School is triple accredited

Programme structure

You will take eight core courses and one optional course, and complete a substantial independent piece of work, normally in the form of a dissertation, on a finance-related theme. Teaching is through a combination of methods including lectures, seminars, tutorials and practical programming and data analysis classes. You will also have the opportunity to attend practitioner seminars so you can learn from leading experts. 

Core courses

  • Financial statistics
  • International capital markets
  • Introduction to R programming
  • Probability
  • Regression models
  • Risk management and derivative securities
  • Statistical inference
  • Time series.

Optional courses may include

  • Behavioural finance
  • International banking and financial markets.

Programme alteration or discontinuation

The University of Glasgow endeavours to run all programmes as advertised. In exceptional circumstances, however, the University may withdraw or alter a programme. For more information, please see: Student contract.

Career prospects

Financial Modelling prepares you for a rewarding career in the financial sector for example as a quantitative financial analyst, equity analyst or risk analyst. Recent graduates have gone on to work for KPMG, Deloitte and Citic Securities. We have a dedicated careers and employability team who provide 1-2-1 support and advice, group workshops, employer events on campus and networking opportunities throughout the year to help you with your career prospects. 


Visit the Financial Modelling (MSc) page on the University of Glasgow website for more details!

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