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Unit of study_
ACCT6019: Analytics for Accounting
2025 unit information
This unit develops the fundamentals for data analytics for accounting. It considers how the mega-trend of 'Big Data' and artificial intelligence is impacting and shaping current accounting-based data for business analysis and decision support, financial reporting, and auditing practices and their likely impact on future practices. This UoS also develops skills in the application of basic accounting analytics. It explores how data analytic applications and techniques are currently used in accounting practice; and the potential of these techniques to shape future practices in specific areas such as accounting measurement and forecasting, audit sampling the timing and frequency of reporting (as examples) and even the substitution of accounting information for decision support purposes.
Unit details and rules
Managing faculty or University school:
Business (Business School)
| Study level | Postgraduate |
|---|---|
| Academic unit | Accounting |
| Credit points | 6 |
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Prerequisites:
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ACCT5001 and QBUS5002 |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. Identify and describe various accounting issues in the context of Big Data and the 4th industrial revolution.
- LO2. Identify and use advanced analytical tools such as the Big Data analytical tools used in machine learning.
- LO3. Analyse and critically evaluate highly complex real data problems within real-world constraints.
- LO4. Critically evaluate the advantages and limitations of various analytical tools.
- LO5. Identify appropriate data analytic and machine learning tools for business decision making within the context of accounting and Big Data issues.
- LO6. Evaluate high-velocity information and apply data analytics skills to improve effectiveness, efficiency and efficacy in various problem-solving tasks.
- LO7. Develop verbal and written communication skills within the context of accounting and Big Data considerations.
- LO8. Interpret the outputs of various data analytic techniques and communicate those outputs to decision makers.
- LO9. Describe the foundation of ethical & privacy principles within the context of accounting and Big Data issues.
- LO10. Explain the basis of ethical & privacy principles required for the interpretation and application of various data analytic outputs.
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 2024
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Normal day | Camperdown/Darlington, Sydney | |
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Semester 2 2024
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Normal day | Camperdown/Darlington, Sydney |
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1 2025
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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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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