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HE Unit Template
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Analytical Decision Making
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BUMGT5981 - Analytical Decision Making
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20250100
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Course
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Unit
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2.1
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2026-09-10
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2026-09-10
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Business
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Institute of Innovation, Science & Sustainability
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Business
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Postgraduate - Coursework
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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/bumgt5981">View unit fees</a>
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Graded (e.g. HD, D, C, etc)
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Masters Degree
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1
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<p>The course enhances student understanding of analytical decision making supported by numerical data and statistical procedures. Topics include practice-based learning contextualised across business and management. Coursework and research-based assessment may include interactive group work, case studies and situational exercises where students apply quantitative methods relevant for understanding and/or solving organisational challenges and problems. An applied focus introduces concepts fundamental to understanding and interpreting numeric data and statistical analysis. Designated numerical techniques are relevant to fields including human resource management, marketing and management.</p>
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<p>•Introducing analytical decisions<br>
•Numeracy, probability, risk and modelling<br>
•Data analytics and big data<br>
•Generating and assessing valid data<br>
•Fundamental statistical techniques<br>
•Capacity and demand<br>
•Service quality<br>
•Supply chain analysis<br>
•Forecasting<br>
•Selecting a project portfolio<br>
•Staff selection, KPIs, attrition and satisfaction<br>
•Advanced data models and decision support systems</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
Year
2027
Current Year
2026
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BUMGT5981 - Analytical Decision Making
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BUMGT5981 - Analytical Decision Making
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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>The course enhances student understanding of analytical decision making supported by numerical data and statistical procedures. Topics include practice-based learning contextualised across business and management. Coursework and research-based assessment may include interactive group work, case studies and situational exercises where students apply quantitative methods relevant for understanding and/or solving organisational challenges and problems. An applied focus introduces concepts fundamental to understanding and interpreting numeric data and statistical analysis. Designated numerical techniques are relevant to fields including human resource management, marketing and management.</p>
Unit content
<p>•Introducing analytical decisions<br> •Numeracy, probability, risk and modelling<br> •Data analytics and big data<br> •Generating and assessing valid data<br> •Fundamental statistical techniques<br> •Capacity and demand<br> •Service quality<br> •Supply chain analysis<br> •Forecasting<br> •Selecting a project portfolio<br> •Staff selection, KPIs, attrition and satisfaction<br> •Advanced data models and decision support systems</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Business
Study level:
Postgraduate - Coursework
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/bumgt5981">View unit fees</a>
Requisites
Prerequisite
None
Corequisite
None
Exclusion
<p>must not have completed "BUMGT5980"</p>
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>Define contexts suitable for numeric-based analysis supporting good decisions</p>
K2
<p>Identify pertinent sources of numeric data and/or suitable methods for generating these data</p>
K3
<p>Recognise appropriate statistical techniques for data analysis including strengths and limitations</p>
K4
<p>Infer results from data analysis applicable to business and management challenges or problems</p>
S1
<p>Perform fundamental numerical and statistical analysis including data input and hypothesis testing</p>
S2
<p>Apply numerical tools and methods to analyse business and management challenges or problems</p>
S3
<p>Interpret results and finding from numerical analysis including implications</p>
S4
<p>Develop suitable decision support systems supporting good business practices</p>
A1
<p>Identify and evaluate workplace contexts relevant for numerical analysis</p>
A2
<p>Develop methods to effectively communicate numerical results to stakeholders</p>
A3
<p>Illustrate workplace examples where numerical analysis support good decision-making</p>
A4
<p>Explain processes for developing decision-support systems for relevant work-place scenarios</p>
Assessment
Learning Tasks and Assessment
Ref
Learning task
Assessment type
Weighting
Learning outcomes assessed
1
<p>Individual self-managed formative assessment – 60 questions (12 topics, 5 questions per topic).</p>
<p>Online quiz</p>
<p>10%-20%</p>
K1, K2, K3, K4
2
<p>Online group presentation for specified numerical case study incorporating peer review.</p>
<p>Group or individual research work</p>
<p>20%-30%</p>
K1, K2, K3, K4, S1, S2, S3, S4, A1, A2, A3, A4
3
<p>Individual summative task – addressing scenarios</p>
<p>Quantitative assignment</p>
<p>20-30%</p>
K1, K2, S1, S2, A1, A2
4
<p>Individual summative task testing objectives</p>
<p>Final examination</p>
<p>40-50%</p>
K1, K2, K3, K4, S1, S2, S3, S4, A1, A2, A3, A4
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
<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 Innovation, Science & Sustainability
Discipline:
Business
Study level:
Postgraduate - Coursework
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/bumgt5981">View unit fees</a>
Additional information
Add Info Static Text
Internal reference: BUMGT5981 - U2.1