Credit points: 15

Subject outline

In this subject, students will be introduced to the available technology applications that generate data from sport. Students will systematically appraise data capture technology using accepted criteria in order to identify the limitations of available technology in sport data capture. Students will explore the factors that influence effective and accurate data capture in sport and its handling and treatment. Using their understanding of these factors and available technology applications, students will learn to identify appropriate applications and processes for a range of analysis scenarios.

SchoolAllied Heath, Human Services & Sport

Credit points15

Subject Co-ordinatorDavid Carey

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 5 - Masters

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules



Incompatible subjectsN/A

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Career Ready


Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Critically appraise new and existing technology applications that can be employed to generate data from sport.
02. Apply theoretical knowledge and technical skills to implement and evaluate data capture in sport
03. Apply research and technical skills to justify selection and use of an appropriate range of technology applications in order to collect measurable data from sport.
04. Critically reflect on the limitations of technology used within sports analytics and their effect on the quality of data generated and collected from sport.

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2020, Semester 2, Blended


Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorDavid Carey

Class requirements

Lecture/Seminar Week: 31 - 43
One 1.00 h lecture/seminar per week on weekdays during the day from week 31 to week 43 and delivered via blended.

WorkShop Week: 31 - 43
One 2.00 h workshop per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.


Assessment elementCommentsCategoryContributionHurdle% ILO*
1,000 word critical appraisal of sport data capture technology.N/AN/AN/ANo20 SILO1
1,500 word data capture planN/AN/AN/ANo30 SILO2, SILO3
2,000 word equivalent sport data capture projectN/AN/AN/ANo50 SILO2, SILO3, SILO4