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Unit of study_
BUSS6002: Data Science in Business
2025 unit information
The expanding reservoir of data and the accompanying computational capabilities for its analysis are increasingly acknowledged as indispensable business assets. At its core, this unit delves into the foundational computational techniques that underpin modern data-driven decision-making processes. At the end of this course, students will be equipped with the ability to formulate practical problems in data analytics as probabilistic models, estimate the parameters of such models by solving basic optimisation problems, and implement the associated computational algorithms in Python, yielding software tailored for practical application with real datasets.
Unit details and rules
Managing faculty or University school:
Business (Business School)
| Study level | Postgraduate |
|---|---|
| Academic unit | Business Analytics |
| Credit points | 6 |
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Prerequisites:
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None |
|---|---|
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Corequisites:
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QBUS5001 or QBUS5002 |
| Prohibitions:
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None |
| Assumed knowledge:
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Basic mathematical knowledge, e.g., probability, linear algebra, and calculus. |
At the completion of this unit, you should be able to:
- LO1. Identify types and sources of data, data quality issues and interact with data storage systems.
- LO2. Explain and apply foundational techniques of data analysis to business problems.
- LO3. Categorise business problems in order to select appropriate data analysis techniques and tools.
- LO4. Interpret and evaluate the outputs of data analysis techniques and tools.
- LO5. Evaluate data science capabilities of businesses and apply data science process models.
- LO6. Identify and assess ethical issues associated with data driven decision making.
- LO7. Communicate effectively with technical and non-technical audiences.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1 2025
|
Normal day | Camperdown/Darlington, Sydney | |
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Semester 2 2025
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
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