Credit points: 15

Subject outline

In this subject, you will apply theoretical understanding of analytics processes and methodologies to authentic sport-related data sets, such as seasonal AFL data to model and predict ladder positions and match outcomes.


You will develop an analysis plan and implement this plan to formulate specific outcomes arising from the data analysis. You will use appropriate visual analytics tools to present your data to communicate formulated outcomes and findings.

SchoolAllied Health, Human Services & Sport

Credit points15

Subject Co-ordinatorMinh Huynh

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 5 - Masters

Available as ElectiveYes

Learning ActivitiesStudents will undertake online lectures, workshops, computer laboratory work, and self-directed study. Students will undertake written pieces of assessment associated with a project, to demonstrate their achievement of the subject’s intended learning outcomes

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesEXS5PSA OR SPE5PSA


Incompatible subjectsN/A

Equivalent subjectsEXS5SAP

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. Apply analytical knowledge and skills with a high level of personal autonomy and accountability to the analysis and evaluation of sport-related data in response to an identified need or sport- related question.
02. Analyse existing sport-related data sets that have been generated in response to an identified need or sport-related question, with creativity and initiative.
03. Critically analyse sport-related data sets and synthesise a range of relevant outcomes.
04. Coherently communicate the outcomes of the analysis of sport-related data to a range of audiences, using visual analytics tools.

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 2, Blended


Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorDavid Carey

Class requirements

Lecture/SeminarWeek: 30 - 42
One 1.00 hour lecture/seminar per week on weekdays during the day from week 30 to week 42 and delivered via blended.

WorkShopWeek: 30 - 42
One 2.00 hours workshop per week on weekdays during the day from week 30 to week 42 and delivered via blended.


Assessment elementCommentsCategoryContributionHurdle% ILO*

1 x 1500-word project proposal

N/AOtherIndividualNo25 SILO1

1 x 2500-word project report

N/AReportIndividualNo50 SILO2, SILO3

20-minute oral presentation (1000-word equivalent)

N/AOral presentationIndividualNo25 SILO2, SILO3, SILO4