Advanced Financial Modelling and Machine Learning (774N1)

15 credits, Level 7 (Masters)

Spring teaching

Following on from Essential Quantitative Finance, this module will provide further instruction on particular financial problems associated with risk analysis and portfolio construction, and a more in-depth knowledge of financial instruments, such as futures and options, laying the foundation for TB2 modules on the Financial Risk and Investment Analysis degree.

All the main concepts will be illustrated by numerous examples and Excel spreadsheets.

Further development of IT skills builds on the knowledge gained in Essential Quantitative Finance, now introducing Matlab programming and the use of Reuters data.

The syllabus covers the following topics:

  1. Time Series and Statistical Volatility
  2. Modelling Linear Portfolios
  3. Newtonian and Stochastic Calculus
  4. Introduction to Financial Options


69%: Lecture
31%: Seminar


30%: Coursework (Test)
70%: Examination (Take away paper)

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 2023/24. However, there may be changes to these modules in response to COVID-19, staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity.