Courses & Units
Business Analytics for Strategic Decision-Making BEA318
Introduction
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.
Summary
| 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 |
Availability
This unit is currently unavailable.
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
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
Fee Information
| Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
|---|---|---|---|---|
| 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.
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Teaching
| 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. |
|---|---|
| Assessment | Data analytics maturity plan (30%)|Online test (35%)|Take home exam (35%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
Links | Booktopia textbook finder |
|---|
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