Course Modules

This module develops your knowledge base associated with applied physiological and nutritional support in a range of different environments including exercise testing, physiological and dietary measurement, food safety and hygiene and UK Anti-Doping (UKAD) considerations. Specifically, the module will address […]

In this module, you will either undertake a final research dissertation project or an applied dance science research portfolio. The research dissertation acts as the culmination of your postgraduate study. You will develop a substantial dance research project of your

The strength and conditioning process is underpinned by the fundamentals of Sport and Exercise Science. The ability of a system to adapt to training-based stimulus relies on a physiological response to biomechanical demand. The effectiveness of this demand is often

The strength and conditioning process is underpinned by the fundamentals of Sport and Exercise Science. The ability of a system to adapt to training-based stimulus relies on a physiological response to biomechanical demand. The effectiveness of this demand is often

This module aims to develop and strengthen contemporary dance understanding and performance through regular attendance and practice in a variety of dance technique classes. Daily classes allow you to develop and refine technical skills through reflective practice directed toward performance

This module examines the application of whole-body metabolism to a variety of contexts within sport and exercise physiology ranging from elite sporting performance to clinical settings. Existing knowledge will be challenged through critical evaluation of relevant peer reviewed publications. Additionally,

This module explores a range of topics that are increasingly predominant and emerging in Data Science, Data-Intensive Computing, Parallel Computing and Natural computing. The topics will be explored through guided reading and research within a group project component. Students will

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