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HE Unit Template
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Data Analytics for Sport Management
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ISMAN2006 - Data Analytics for Sport Management
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20240200
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1.2
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2026-09-10
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2026-09-10
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Exercise and Sport Science
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Institute of Health and Wellbeing
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Exercise & Sport Science
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Undergraduate
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15
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.125
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080399
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Business and Management, n.e.c.
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080399 - Business and Management, n.e.c.
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<a href="http://www.federation.edu.au/locate/unit/isman2006">View unit fees</a>
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Graded (e.g. HD, D, C, etc)
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Bachelor Degree
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<p>This unit introduces students to the application of an analytics framework for sport organisations. The unit aims to provide students with knowledge and skill to perform data analysis utilising real world data to reveal patterns of behaviour and trends to inform decision makers in sport management. The content includes; data analytic frameworks and data mining; the gathering and preparation of data; data visualisation and effective communication of data analytics to key stakeholders. The context of data will focus on sport participation, customer relationship management, sport events, sport facilities and fan engagement.</p>
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<p>This may include:<br>
• Data analytics in sport management<br>
• Collecting data for sport management <br>
• Preparing sports data for analysis <br>
• Sports participation analytics<br>
• Analytics for Customer Relationship Management (CRM) <br>
• Event analytics <br>
• Facility analytics <br>
• Engaging with fans<br>
• Effective communication of sports data and analysis</p>
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<p>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.</p>
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Year
2027
Current Year
2026
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ISMAN2006 - Data Analytics for Sport Management
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ISMAN2006 - Data Analytics for Sport Management
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Semester
Semester 1
Semester 2
Summer Semester
Year
2027
2026
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Overview
Key information
Requisites
Learning outcomes
Assessment
FedTASK
Parent Region
Overview
Unit description
<p>This unit introduces students to the application of an analytics framework for sport organisations. The unit aims to provide students with knowledge and skill to perform data analysis utilising real world data to reveal patterns of behaviour and trends to inform decision makers in sport management. The content includes; data analytic frameworks and data mining; the gathering and preparation of data; data visualisation and effective communication of data analytics to key stakeholders. The context of data will focus on sport participation, customer relationship management, sport events, sport facilities and fan engagement.</p>
Unit content
<p>This may include:<br> • Data analytics in sport management<br> • Collecting data for sport management <br> • Preparing sports data for analysis <br> • Sports participation analytics<br> • Analytics for Customer Relationship Management (CRM) <br> • Event analytics <br> • Facility analytics <br> • Engaging with fans<br> • Effective communication of sports data and analysis</p>
Key information
Institute / school:
Institute of Health and Wellbeing
Discipline:
Exercise & Sport Science
Study level:
Undergraduate
Credit points:
15
EFTSL:
0.125
Field of education:
080399 - Business and Management, n.e.c.
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/isman2006">View unit fees</a>
Requisites
Prerequisite
None
Corequisite
None
Exclusion
None
Learning outcomes
Learning outcomes
<p>On successful completion of this unit, students are expected to gain the following [K]nowledge, [S]kills and [A]pplication of knowledge & skills</p>
Learning Outcomes
Ref
Outcome
K1
<p>Identify and describe the utilisation and benefits of data analysis in sport management practice.</p>
K2
<p>Describe the data analytics framework and explain the major stages of data analysis.</p>
K3
<p>Classify data by type including text, numeric, date/time and geographic data types, including identifying the differences between numerical and categorical, discrete and continuous, and structured and unstructured data.</p>
K4
<p>Describe and explain privacy, security and ethical considerations when collecting, analysing and presenting data.</p>
S1
<p>Prepare data for visual analysis by cleaning, validating and formatting data sources.</p>
S2
<p>Compile and develop visual analytics and dashboards using business intelligence software.</p>
S3
<p>Critically evaluate information using data analytics techniques to inform decision making in developing innovative recommendations, plans and strategies.</p>
A1
<p>Compile, clean and organise real-life data in preparation for performing a data analysis.</p>
A2
<p>Design and develop a data dashboard to deliver visual analytics to inform trends and strategic decision making.</p>
A3
<p>Develop and present an analysis of real-life data for a sport organisation providing insights, recommendations and identifying data assumptions and limitations.</p>
Assessment
Learning Tasks and Assessment
Ref
Learning task
Assessment type
Weighting
Learning outcomes assessed
1
<p>Multiple choice and short-answer questions to demonstrate continuous understanding of unit content</p>
<p>Online quizzes</p>
<p>10-20%</p>
K1, K2, K3, K4, S3
2
<p>Compile, clean and organise data for performing a data analysis</p>
<p>Individual lab file and report</p>
<p>15-30%</p>
K3, S1, A1
3
<p>Design and develop a data dashboard to present visual analytics and facilitate interpretation of data</p>
<p>Individual lab file and report</p>
<p>20-30%</p>
K3, S1, S2, A2
4
<p>Develop and present a sport management analysis of a sport organisation, providing insights and recommendations and identifying data assumptions and limitations</p>
<p>Individual report and video presentation</p>
<p>30-50%</p>
K3, K4, S1, S2, S3, A3
Supplementary assessment available:
Yes
Supplementary assessment information:
<p>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.</p>
FedTASK
FedTASK
Description of FedTASK outcome
Level
FedTASK 1: Interpersonal
The ability to effectively communicate, interact and work with others both individually and in groups.
FedTASK 2: Leadership
The ability to apply professional skills and behaviours in leading others.
FedTASK 3: Critical Thinking and Creativity
The ability to work in complexity and ambiguity using imagination to create new ideas.
FedTASK 4: Digital Literacy
The ability to work fluently across a range of tools and applications to achieve a range of skills.
FedTASK 5: Sustainable and Ethical Mindset
The ability to consider and assess the consequences and impact of ideas and actions in enacting ethical and sustainable decisions.
FedTASK
<p>Federation University recognises that students require key transferable employability skills to prepare them for their future workplace and society. FedTASKs (<strong>T</strong>ransferable <strong>A</strong>ttributes <strong>S</strong>kills and <strong>K</strong>nowledge) provide a targeted focus on five key, transferable Attributes, Skills, and Knowledge that are embedded within curriculum, developed gradually towards successful measures and interlinked with cross-discipline and co-operative learning opportunities.</p>
Key information
Institute / school:
Institute of Health and Wellbeing
Discipline:
Exercise & Sport Science
Study level:
Undergraduate
Credit points:
15
EFTSL:
0.125
Field of education:
080399 - Business and Management, n.e.c.
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/isman2006">View unit fees</a>
Additional information
Add Info Static Text
Internal reference: ISMAN2006 - U1.2