Computing for Data Analytics and Finance (L7) (854G1)

15 credits, Level 7 (Masters)

Autumn teaching

The aim of this module is to provide you with basic programming skills with applications in MATLAB/Octave, Python or R, which are very important for your future career in industry. 

No previous programming experience is assumed; you will build up quite quickly to an operational level.

Topics include:

  • (tax/loan/investment/portfolio) ledger book programming
  • graphing and charting financial data
  • stochastic simulations involving random number generators
  • importing/exporting to databases and websites
  • advanced topics in financial computing and financial data analysis.



31%: Lecture
69%: Practical (Practical, Workshop)


40%: Coursework (Portfolio, Problem set)
60%: Examination (Computer-based examination)

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 33 hours of contact time and about 117 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2024/25. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum. We’ll make sure to let you know of any material changes to modules at the earliest opportunity.