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Unit of study_
BUSS4934: Advanced Applications in Business Analytics
2024 unit information
This unit aims to expose students to a wide range of advanced applications in Business Analytics (including Business Statistics, Optimisation and Machine Learning) using many real business datasets. One of the major tasks for current businesses is striking a balance between using data science to provide personalised serviced to consumers and doing this responsibly and ethically. This has been reflected in many attempts to regulate and govern analytics at a state level (in many countries around the globe), requiring companies to learn how to continue to improve their business models whilst maintaining customer wellbeing. The unit explores whether and to what extent it is possible to develop responsible and ethical algorithms for data analytics in business.
Unit details and rules
Managing faculty or University school:
Business Analytics
| Code | BUSS4934 |
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| Academic unit | Business Analytics |
| Credit points | 6 |
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Prerequisites:
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Students must meet the entry requirements for the Bachelor of Advanced Studies (Advanced Coursework), including completion of a pass undergraduate degree and a major in Business Analytics (including QBUS3600) |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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Students are assumed to be familiar with Statistical Modelling, Optimisation and Machine Learning |
At the completion of this unit, you should be able to:
- LO1. Be capable of rigorous and independent thinking, e.g. identify decision problems, select appropriate analysis tools, etc.
- LO2. identify advantages and limitations of different methods that can be used in a business application
- LO3. Proficiently use various data sets and identify data problems within real-world constraints
- LO4. Demonstrate proficiency in the use of statistical software, e.g. Develop Python programs and manipulate existing code for the implementation of models
- LO5. Be capable of presenting practical recommendations for business decision making, e.g. compile executive reports and present their findings to non-experts
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 2 2024
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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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.
