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Introduction
This unit provides an introduction to the principles and practices of business analytics. You will engage with the data lifecycle, which includes acquisition, cleansing, analysis, and interpretation of data. The unit emphasises practical skills, with a focus on utilising a range of analytical tools and software to interpret data effectively. By the end of the unit, you will be able to apply these skills to extract meaningful insights from data, supporting informed decision-making in business contexts. The unit teaches practical skills including ethical considerations and the impact of data quality on business outcomes, preparing you to come a conscientious and proficient analyst.
Summary
| Unit name | Fundamentals of Business Analytics |
| Unit code | BMA750 |
| Credit points | 12.5 |
| College/School | Tasmanian School of Business and Economics |
| Coordinator | Doctor Christopher Mabin |
| Delivered By | University of Tasmania and Third Party(ies): ECA |
| Level | Postgraduate |
Learning Outcomes
- Analyse real-world data to inform business decisions.
- Evaluate the quality and relevance of data sources in the context of business decision-making.
- Use analytical software to conduct basic analyses.
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 UniConnect 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
| Assessment | Software Proficiency Test (25%)|Reflective Journal (35%)|Data Analysis Project (40%) |
|---|---|
| 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. |
|---|
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