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Unit of study_
QBUS6600: Data Analytics for Business Capstone
This unit serves as the capstone unit for the Data Analytics for Business specialisation. The unit's teaching and learning framework consists of problem-based teaching with practical application, challenging students to apply their data analytics skills to real-world business problems. The unit allows students to link theory to practice by integrating knowledge and key consolidating skills, that students have developed throughout the specialisation. Work-integrated learning and career-readiness outcomes are a focus of this unit where students utilize data analytics techniques and skills, together with business knowledge, assisting in business decision making via professional practice.
| Code | QBUS6600 |
|---|---|
| Academic unit | Business Analytics |
| Credit points | 6 |
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Prerequisites:
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Completion of 18 credit points of units towards the Data Analytics for Business specialisation (including QBUS5001 and BUSS6002) |
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Corequisites:
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Completion of 6 credit points towards the Data Analytics for Business specialisation |
| Prohibitions:
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None |
| Assumed knowledge:
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Students should complete this unit in their final semester of study |
At the completion of this unit, you should be able to:
- LO1. Analyse and explain the role of data analytics and insights in business decision making
- LO2. Operationally and efficiently cast a business problem into data analytics problems using a Business Data Analytics process
- LO3. Apply data analytics skills to business decision making across different organisational areas
- LO4. Demonstrate proficiency in the use of Data Analytics software such as Python and R for implementing a Data Analytic project
- LO5. Work productively, collaboratively and collegially in a team
- LO6. Communicate the Data Analytics findings efficiently
- LO7. Discuss cultural and ethical dimensions in the data analytics context
Unit outlines
Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.
- Semester 1, 2023 [Normal day] - Remote
- Semester 1, 2023 [Normal day] - Camperdown/Darlington, Sydney
- Semester 2, 2023 [Normal day] - Camperdown/Darlington, Sydney
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