Credit points: 15

Subject outline

In this subject, you will explore the principles of analytics within the context of sporting environments. You will learn to apply the mathematical and statistical architecture and rationale that underpins a range of sport analytics methods. Practices in handling, cleaning and processing data generated from sport will be examined. You will learn to apply basic programming and coding skills to analyse sport-related data and answer complex questions.

SchoolAllied Health, Human Services & Sport

Credit points15

Subject Co-ordinatorDavid Carey

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 5 - Masters

Available as ElectiveYes

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

Capstone subjectNo

Subject particulars

Subject rules



Incompatible subjectsN/A

Equivalent subjectsEXS5PSA

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, principles and skills with initiative to new situations in sport and sport-related practice environments
02. Analyse mathematical and statistical architecture to synthesize analytical approaches to complex sport-related problems
03. Apply theoretical principles to common practices in handling, cleaning and processing data related to sport
04. Analyse data using basic programming skills to answer complex questions related to sport

Subject options

Select to view your study options…

Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 1, Blended


Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorDavid Carey

Class requirements

Lecture/SeminarWeek: 10 - 22
One 1.00 hour lecture/seminar per week on weekdays during the day from week 10 to week 22 and delivered via blended.

WorkShopWeek: 10 - 22
One 2.00 hours workshop per week on weekdays during the day from week 10 to week 22 and delivered via blended.


Assessment elementCommentsCategoryContributionHurdle% ILO*

2 x 15-minute online quizzes (1500-word equivalent total)

N/AQuizzesIndividualNo20 SILO1, SILO3

1 x 2500-word written report

N/AReportIndividualNo40 SILO2, SILO4

1 x 90-minute examination (1500-word equivalent)

N/AOther written examIndividualNo40 SILO1, SILO2, SILO3