Victoria University

Graduate Certificate in Data Analytics for Sport Performance

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

Build specialised sport analytics skills in programming, data visualisation, spatiotemporal analysis and performance decision-making.

Course overview

The Graduate Certificate in Data Analytics for Sport Performance at Victoria University provides specialised postgraduate study in applying data analytics to sport and high-performance environments. You will learn to analyse, visualise and interpret performance data while considering how data can support decision-making for athletes, coaches and sport organisations.

Across four core units, you will study sports analytics, programming, spatiotemporal data analysis and decision-support systems. The course explores how programming and analytical techniques can be used to interpret sport technologies, communicate findings and generate practical insights from performance data.

Delivered through online self-paced study, the course can be completed in six months of full-time study or longer part-time. It provides focused analytical skills for professionals seeking to work with performance data in sport and related settings.

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
$4,313
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Prices are calculated based on a full-time study load of four units.
Intake
Units
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You may be required to complete 0 credit point units throughout your course. The university will confirm this as part of your enrolment.

The unit total reflects the number of units required for course completion, not the total credit point weight. Some units may be double- or triple-weighted, so the number of units you complete may be lower.
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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.