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STUDY PLAN & MODULE DESCRIPTIONS
Code Module Credits Duration Prerequisite(s)

Table I: Compulsory Modules
COMP6141 Principles of Sports Science 3 45 hrs ---
This module provides students with core knowledge in the field of sports
science and technology. The module content includes human anatomy and
physiology, sports biomechanics, sports psychology, and sports nutrition.
Students will learn how the human body systems collaborate during exercise,
the effects of exercise on the body, and how to optimize athletic performance
and prevent sports injuries using some of the latest technology. Through
theoretical study and practical training, students will acquire basic skills in
assessing athletic performance, designing training programs, and providing
scientific guidance, laying a solid foundation for further research and
application in the area of sports science and technology.
COMP6142 Data Analytics 3 45 hrs ---
Recent advances in sports technologies have led to the rapid explosion of sports

data. Sports data analytics derived from big data can help athletes and sports
teams to better understand individual and team performances, improve team
efficiency, and acquire competitive advantages. This learning module provides
an overview of common big data applications and analytical techniques (e.g.,
statistics and probability, sentiment analysis, data visualization etc.) in sports
and discusses some implementation issues related to sports data projects. As
part of a group project, students will need to demonstrate the ability to come
up with a plan based on a given sport-related case study and a relevant dataset.
Students will acquire the knowledge and skills needed to effectively analyze and
work with sports-related datasets.
COMP6143 Applied Machine Learning 3 45 hrs ---
Artificial Intelligence (AI) has become deeply integrated into our daily lives,
often in ways we may not even realize. At the forefront of AI is Machine
Learning (ML), a branch of AI that enables computers to learn and adapt
without explicit programming. Over the past decade, ML has revolutionized
sports industry with breakthroughs in sports technologies, sports prediction,
and AI-assisted sports training. This module covers some of the key machine
learning techniques, including decision tree, neural networks, deep learning,
etc. The aim of the module is to equip students with both the theoretical
foundation and practical skills to apply these methods across various domains,
such as classification, regression, etc.

COMP6144 Sports Technology 3 45 hrs ---
This module introduces the latest developments and applications in the field of
sports technology. The module content covers topics such as motion sensors,
wearable devices, virtual reality and augmented reality technologies, sports
data analysis, and biomechanical measurement tools. Students will learn how
to utilize these technologies to monitor and enhance athletes' performance,
improve training methodologies, as well as to help athletes prevent and treat
sports injuries. In addition, students will explore ethics and regulations
concerning the use of sports technologies. Through theoretical study and
practical application, students will acquire the core skills needed to assess and
apply sports technologies. This module will prepare students for innovation and
technological development in the fields of sports science and coaching.

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