Victoria University

Graduate Certificate in Data Analytics for Sport Performance

  • Delivery: Online
  • Study Level: Postgraduate
  • Duration: 6 months
  • Course Type: Graduate Certificate

Gain a formal qualification in data science with a unique sports context.

Course overview

This course prepares you to succeed in the growing field of data analysis in sport. Learning from true industry leaders, you will gain expertise in sports-performance analytics and graduate job-ready with instruction in the latest research insights and essential programming languages.

Key facts

Delivery
Online
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Online Self-Paced
Course Type
Graduate Certificate
Duration
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Can be studied part time
6 months (Full time)
Price Per Unit
From $4,313
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Prices are calculated based on a full-time study load of four units.
Intake
New start dates announced soon
Units
4
Fees
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FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.
FEE-HELP

What you will study

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

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 specific academic qualifications, as outlined below. Victoria University also considers non-academic research and work experience for research candidates.

Admission criteria

Applicants must have one of the following:

  • Completion of an Australian Bachelor's degree (or equivalent) in a similar discipline.
  • Applicants with a minimum of five (5) years of 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.

Recognition of Prior Learning

If you have completed a study with another university or institution, you may be eligible to receive credit for skills and past study. Contact the university for more information.

Outcomes

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.

Career outcomes

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

  • Data analyst
  • Sport scientist

Fees and FEE-HELP

Fee per unit in 2026: $4,313 (domestic full-fee paying place)

Indicative full fee in 2026: $17,250 per semester (domestic full-fee paying place)

Full-fee courses are not government subsidised. You will pay the total cost of each unit.

A student’s fee may vary depending on:

  • The number of units studied per term.
  • The choice of major or specialisation.
  • Choice of units.
  • Credit from previous study or work experience.
  • Eligibility for government-funded loans.

You may also need to pay the student services and amenities fee.

Student fees shown are subject to change. Contact the university directly to confirm.

FEE-HELP loans are available to assist eligible full-fee paying domestic students.