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SES5105 Technology and Data Science in Strength and Conditioning

Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Health and Medical Sciences
Student contribution band : 2021 Grandfather Funding Cl 1
Grading basis : Graded
Version produced : 16 May 2022


Pre-requisite: Students must be enrolled in one of the following Programs: MASC or GSCC or GSCD


This course introduces Master of Strength and Conditioning students to a broad range of technology used in strength and conditioning and the application of data science for athletic populations. This course is designed to provide students with an overview of industry-relevant technologies for data collection and processing, feedback methods and training tools used in strength and conditioning areas such as athlete monitoring, testing, and programming design. It also provides integrated-learning opportunities for practical skills development in order help students understand how apply technology and data science in the strength and conditioning context.

This course examines principles of technology and data science in the strength and conditioning addressing wearable technology, global positioning systems, velocity-based training devices, heart rate monitors, and athlete monitoring systems. Such technology has been applied to strength and conditioning and has shaped the way data is collected and processed, how information is relayed between coaches and staff or to athletes, and the way in which athletes are monitored in the daily training and competition environments. Applicable knowledge and skills will assist students understanding of key considerations for sports strength and conditioning coaches and sports scientists before implementing new technologies. Current research pertaining to fundamental scientific principles will be examined via a case-study learning approach supplemented with key learning extension activities, including online discussion, collaboration, practical application, and peer learning.

This course contains a mandatory residential school.

Course offers

Semester Mode Campus
Semester 2, 2022 External
Date printed 16 May 2022