Machine Learning (934G5)

15 credits, Level 7 (Masters)

Spring teaching

On this module, you will gain the knowledge and practical experience for building and evaluating machine learning models.

The module will cover multiple learning categories including supervised learning, and a variety of algorithms will be covered (both traditional approaches and those that are state of the art, such as advanced neural networks).

The module will involve exploring the mathematics behind each algorithm as well as hands-on work (with software libraries) on real data.

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 2026/27. 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.

Courses

This module is offered on the following courses:

• Computer Science (with an industrial placement year) MComp
• Computer Science MComp
• Mathematics with Data Science MMath
• Physics with Data Science MPhys