Courses & Units

Business Analytics for Strategic Decision-Making BEA318


The role of business analytics in assisting decision-making has now become essential for all organisations in today’s data-driven world where data and the insights that it can inspire are a source of competitive advantage. While business analytics is now being used at various levels within the organisation, this unit focuses on business analytics relevant for strategic-level decision-making. Strategic-level decisions are conducted at the top of the organizational hierarchy and are significant in terms of the monetary value associated with these decisions and long-term impact to the organization. This unit develops students’ understanding of the potential and the challenges of applying business analytics for strategic-level decision-making. Students will gain hands-on experience with business analytics techniques and software tools that are relevant for strategic-level decision-making. This involves understanding the appropriate strategic questions to be posed, collecting relevant data and communicating complex data using data visualization techniques to strategic-level decision-makers.


Unit name Business Analytics for Strategic Decision-Making
Unit code BEA318
Credit points 12.5
College/School College of Business & Economics
Tasmanian School of Business and Economics
Discipline Finance
Coordinator Doctor Glenn Finau
Available as an elective? Yes
Delivered By University of Tasmania


This unit is currently unavailable.


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Learning Outcomes

  • Explain how data analytics can create a competitive advantage for businesses in the digital economy
  • Describe strategic/managerial/organizational problems related to analytics for an organisation or industry.
  • Identify and articulate solutions for generating organisational value through improved data analytic maturity.
  • Apply data analytics to assist strategic-level decision-making.
  • Present complex data using data visualization techniques
Field of Education Commencing Student Contribution 1 Grandfathered Student Contribution 1 Approved Pathway Course Student Contribution 2 Domestic Full Fee
not applicable

1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.

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Teaching Pattern

Pre-recorded Blended Lecture (online), Up to 1.5 hours (3-5 short lectures of maximum 20 minutes each), weekly.

Blended Workshop (face to face and via zoom) for 180 minutes. 4 blocks of 3 hour workshops.

AssessmentData analytics maturity plan (30%)|Online test (35%)|Take home exam (35%)
TimetableView the lecture timetable | View the full unit timetable



Required readings will be listed in the unit outline prior to the start of classes.

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