Course Modules

This module is an introduction to the key deep learning methods which are widely applied in a variety of real-world problems, from healthcare to robotics.  In particular, this module focuses on the practicalities of how to build deep neural networks and deep learning […]

Within this module, you will study algorithms that allows computers to learn and improve from experience. The importance of this topic to many modern technologies cannot be overestimated.

This module aims to cover the key mathematical and statistical concepts which are of fundamental importance to many topics within computing. Throughout the module extensive use will be made of real-world problems to highlight how the ideas and techniques covered

The storage, analysis, and systematic extraction of information from Big Data pose challenges that are too complex to be addressed by traditional databases. The module initially covers topics in traditional database systems then introduces the modern view of data processing

The MSc Project provides an opportunity to investigate a problem, gap, or challenge within Data Science. The module provides the opportunity for students to examine an area of particular interest within the Data Science context. the module is designed to

The module aims to explore and develop professional and research skills, providing students with an in-depth understanding of the principles of critical thinking, appraisal of research methods, and critical literature review. The module also covers professional, legal, social and ethical

The aim of this module is to provide you with the opportunity to plan, implement and evaluate dance-specific monitoring and observation of an individual dancer within a real-life setting, over a specified period of time.

You will learn how to develop and implement an effective performance testing battery to athletes from a range of sports.

In this module, you will gain an understanding of data collection, signal processing, hardware and software provision and use for the main methods of biomechanical data collection.

This module attempts to identify the key cognitive factors responsible for the development and demonstration of expertise, and to explore the scope for the coach and the learner to enhance learning and performance through a better understanding of such processes.