Credit points: 15

Subject outline

In this subject, you will develop expertise concerning research methodology, statistical analysis and data science techniques within a sport and exercise science context. There is an emphasis on the practical interpretation and communication of results to different audiences (e.g. for academic writing versus client consultation). You will learn how to perform various data handling techniques, statistical tests and explore data visualisation techniques to effectively demonstrate outcomes in a professional setting.

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 ActivitiesLectures, workshops, assignment work

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesEXS5PSA OR SPE5PSA


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. Apply high-level understanding of the theories and methodologies underlying modern statistics and data science techniques.
02. Apply data handling techniques to correctly treat and process data to provide a range of descriptive statistical outcomes.
03. Apply appropriate statistical tests and data science tools to evaluate evidence and to analyse research data
04. Critically appraise statistical designs, research methodologies and modern analytical techniques relevant to sports and exercise science
05. Apply data visualisation techniques that provide practical interpretations and communicate research results to different audiences

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-ordinatorMinh Huynh

Class requirements

LectureWeek: 31 - 43
One 2.00 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via blended.

TutorialWeek: 31 - 43
One 2.00 hours tutorial per week on weekdays during the day from week 31 to week 43 and delivered via blended.


Assessment elementCommentsCategoryContributionHurdle% ILO*

4 x Online quizzes (5% each) (1hr equivalent total)

N/AQuizzesIndividualNo20 SILO1

Online portfolio that visualises the techniques learnt in this subject (approximately 1000 words)

N/APortfolioIndividualNo10 SILO1, SILO3

Data analysis and write-up assignment, to take the form of an academic manuscript (~ 2000 words)

N/AAssignmentIndividualNo40 SILO2, SILO3, SILO4

Presentation of the assignment (~20 minutes)

N/AOral presentationIndividualNo30 SILO3, SILO5