University of Technology Sydney

96309 Performance Analysis and Data Science

6cp; 3 hpw online interactive activities; 5 hpw independent study
There are course requisites for this subject. See access conditions.


This subject examines the role of the performance analyst in a sporting context. Students explore data-led frameworks and performance analysis tools used to investigate a variety of problems faced by sports practitioners. The strengths and limitations of common analytical methodologies are appraised and students examine the typical metrics that are collected on a daily, weekly, monthly and yearly basis. Data visualisation and presentation methods are also considered in order to optimise communication of empirical findings to a range of stakeholders. This includes aspects of acute decision making along with decisions that relate to player development and athlete acquisition. To ensure relevance with current best-practice, this subject utilises a plethora of contemporary research, and exposes students to a range of industry experts, who facilitate learning by presenting information obtained from the professional sport industry. This approach ensures the contemporary relevance of the content. A key aspect of this subject is the use of a comprehensive assessment that requires students to use a dataset from professional sport and systematically analyse the information to provide an integrated solution for enhancing athlete preparation.

Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.