Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

Our online MSc in Applied Statistics in finance is a conversion course, offering the opportunity to develop skills in statistics and data analysis even if you have never studied statistics before. You will be supported through this three-year part-time programme by members of staff who work directly with industry to develop skills which are relevant to current areas of research. Over the three years, our students gain skills in:

  • problem solving
  • analysis and modelling of financial data
  • the use of statistical software for data analysis and reporting
  • effective communication of statistics
The course is entirely delivered online. The course is ideally suited to those working full-time or with other commitments. You can study and complete the modules when it’s most convenient for you – you don’t need to be online at specific times. The course has been designed by academics who also work as statisticians in the public sector, who are experts in understanding real-life statistical problems, data, and relating theory to practice. The skills set provided will also equip you with the necessary training to work as an applied statistician in areas such as insurance, finance and commerce.


In Year 1 all classes are compulsory, this amounts to 60 credits. Year 1 compulsory modules are: • Foundations of Probability & Statistics • Data Analytics in R • Statistical Modelling & Analysis In Year 2 you are required to take 20 credits of compulsory classes and 40 credits of optional classes. Year 2 compulsory modules • Financial Econometrics • Financial Stochastic Processes Year 2 optional modules • Medical Statistics • Quantitative Risk Analysis • Bayesian Spatial Statistics • Effective Statistical Consultancy • Survey Design & Analysis • Machine Learning for Data Analytics In Year 3 you will undertake your MSc research project.

Assessment method

The form of assessment varies for each class and are all undertaken online. For most classes, the assessment involves both coursework and examinations. The assessment will take ask you to demonstrate your statistical knowledge and skills to analyse real-world data and interpret the results in the context of the research question. Projects will involve writing code, interpreting statistical outputs, and producing a report, or presentation outlining the findings from your analysis. Group work may be undertaken in some classes.

Entry requirements

Minimum second-class Honours degree or overseas equivalent. Mathematical training to A Level or equivalent standard. 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. You must have an English language minimum score of IELTS 6.0 (with no component below 5.5).

Fees and funding

Tuition fees

International £3850 Credit
England £3850 Credit
Northern Ireland £3850 Credit
Scotland £3850 Credit
Wales £3850 Credit

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.

Sponsorship information

Applied Statistics in Finance (online) at University of Strathclyde - UCAS