Graduate Certificate in Data Analytics for Sport Performance

What you will study

To attain the award of Graduate Certificate Analytics for Sport Performance, students are required to complete 48 credit points consisting of:

• 48 credit points of core units

Core units

• Introduction to Sports Analytics
• Spatiotemporal Data Analysis in Sport
• Programming for Sports Performance
• Analytics for Decision Making in Sports Performance

Entry requirements

To be considered for postgraduate study, you will need to have one of the specific academic qualifications, as outlined below. Victoria University also consider non-academic research and work experience for research candidates.

• Completion of an Australian bachelor degree (or equivalent) in a similar discipline.
• Applicants with a minimum five (5) years approved work experience will be considered for admission to this course.

Special entry programs

If you are from a disadvantaged or underrepresented social, economic or cultural background, you may be eligible for one of the university's special admission programs. These programs are designed to help you access education more easily. Contact the university for more information.

Outcomes

Career outcomes

As a graduate of this course you could work as a:

• Data analyst
• Sport scientist

Learning outcomes

On successful completion of this course, students will be able to:

• Analyse, visualise and interpret sports performance data, using a programming language and translate results to technical and non-technical audiences.
• Contextualise knowledge and theory on analysing spatiotemporal data to shape innovative practice in sports performance analytics.
• Critically appraise and use data from sport technologies and articulate information into practice.
• Devise how decision-support systems can assist humans to synthesise and elucidate data effectively in a high-performance sporting environment with competing pressures and priorities.