Evidence and Data Analytics for Sport Management

Unit Outline (Higher Education)

Level of Unit in Course

AQF Level(s) of Course

Level of Unit in Course

Introductory

Intermediate

Effective Term:

2027/20

Institute / School :

Institute of Health and Wellbeing

Unit Title:

Evidence and Data Analytics for Sport Management

Unit ID:

ISMAN2009

Credit Points:

15.00

Prerequisite(s):

Nil

Co-requisite(s):

Nil

Exclusion(s):

Nil

ASCED:

080399

Other Change:

Brief description of the Unit

This unit introduces students to the foundational principles of evidence, research methods and data analytics as they apply to the sport management industry. Students will develop an understanding of both qualitative and quantitative research paradigms, including research design, ethical considerations, and basic statistical analysis. Building on this foundation, the unit also introduces students to analytical frameworks used in sport organisations to collect, prepare, analyse and interpret real-world data.

Students will explore how research and data analytics support decision-making across key areas of sport management such as sport marketing, sponsorship, governance, participation, customer relationship management, sport events, facilities, and fan engagement. Through practical tasks, students will collect, analyse, visualise, and report data to reveal patterns, trends, and behaviours relevant to sport contexts. The unit emphasises effective communication of findings to stakeholders and aims to build students’ competencies in research, evaluation, and evidence-based decision-making essential for contemporary sport management practice.

Grade Scheme:

Graded (HD, D, C, P, MF, F, XF)

Work Experience Indicator:

No work experience

Placement Component:

Supplementary Assessment:Yes

Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment

Course Level:

Learning Outcomes:

Knowledge:

K1.	Explain the purpose, design, and application of qualitative and quantitative research and data analytics methods in sport management contexts (e.g., marketing, sponsorship, participation).

K2.	Describe key stages of data analytics frameworks and associated ethical, privacy, and security considerations in sport data practices.

Skills:

S1.	Design and implement appropriate research approaches, including selecting methods for data collection, preparation, and analysis.

S2.	Collect, organise, and analyse qualitative and quantitative data to identify patterns, trends, and insights for decision making.

Application of knowledge and skills:

A1.	Develop and communicate data-driven insights through appropriate visualisations and reports for sport management stakeholders.

A2.	Apply data analytics to real-world sport contexts, generating evidence-based recommendations while recognising assumptions and limitations.

Other outcomes:

Unit Content:

This may include:

• Introduction to research and data analytics for sport management discipline

• Research concepts and ethical considerations in sport management.

•The research process: constructing research questions, designing the study, collecting and analysing data, and disseminating findings

• Preparing sports data for analysis

• Sports participation analytics

• Analytics for Customer Relationship Management (CRM)

• Event analytics

• Facility analytics

• Engaging with fans

• Effective communication of sports data and analysis

Graduate Attributes:

	Learning Outcomes Assessed	Assessment Tasks	Assessment Type	Weighting	Professional Standards
1.	K1, K2, S1	Design and justify research proposal	Report	20-30%
2.	K2, S2, A1, A2	Compile, clean, validate and organise data for performing a data analysis	Lab file and analytics report	30-40%
3.	A1, A2	Deliver professional presentation of research design, interpret trends, themes or patterns and provide evidence based recommendations for decision makers	Presentation	30-40%

Adopted Reference Style:

APA ()

Professional Standards / Competencies:

Standard / Competency