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Unit of study_
BUSS6002: Data Science in Business
2024 unit information
Growing volumes of data and, more importantly, the computation power to analyse it are now widely recognised as key business assets. No single discipline has the tools to make the most of these assets. Instead successful "big data" capability requires (a) the ability to understand how data can (and often cannot) be used to generate new insights into substantive problems (b) knowledge of how data are generated and used and (c) the ability to understand connections between variables captured in data. This unit provides an overview of principles from the disciplines of Business Information Systems and Business Analytics, applied in the context of Marketing problems, relevant for using 'big data' in business planning, decision-making and operations.
Unit details and rules
Managing faculty or University school:
Business Analytics
| Code | BUSS6002 |
|---|---|
| Academic unit | Business Analytics |
| Credit points | 6 |
|
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 knowledge of probability and statistics |
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 ? |
|---|---|---|---|
|
Semester 1 2024
|
Normal day | Camperdown/Darlington, Sydney | |
|
Semester 2 2024
|
Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
|
Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
