Useful links
Unit of study_
ACCT3015: Accounting Data Analytics
2025 unit information
Traditional accounting techniques and practices have changed little since their development in the industrial era (a low information environment). Financial reports tend to be historical and financial in nature, heavily aggregated, static and paper based. This unit of study introduces students to current accounting research to consider how the mega-trend of 'Big Data', artificial intelligence and robotics is shaping current accounting, financial reporting and auditing practices and their likely future impact. The unit also explores specific aspects of how Big Data and artificial intelligence are currently used in accounting practice and their potential to shape future practices in specific areas such as accounting measurement and forecasting, audit sampling and the timing and frequency of reporting (as examples).
Unit details and rules
Managing faculty or University school:
Business (Business School)
| Study level | Undergraduate |
|---|---|
| Academic unit | Accounting |
| Credit points | 6 |
|
Prerequisites:
?
|
ACCT2011 and (ACCT2012 or ACCT2019) |
|---|---|
|
Corequisites:
?
|
None |
| Prohibitions:
?
|
None |
| Assumed knowledge:
?
|
Completion of INFS3110 (or INFS2001) is desirable |
At the completion of this unit, you should be able to:
- LO1. Understand and interpret various accounting issues in the context of Big Data and the 4th industrial revolution. Students will learn how to use and apply advanced analytical tools and master the basics of Big Data analytical tools such as machine learning.
- LO2. Analyse and critically evaluate highly complex real data problems within real-world constraints and critically evaluate the advantages and limitations of various analytical tools.
- LO3. Identify appropriate data analytic and machine learning tool(s) for business decision making within the context of accounting and Big Data issues. Learn how to harness high-velocity of information and apply data analytics skills to improve effectiveness, efficiency and efficacy in various problem solving tasks.
- LO4. Develop verbal and written communication skills within the context of accounting and Big Data considerations. Learn how to effectively interpret the outputs of various data analytic techniques and communicate those outputs to decision makers.
- LO5. Develop ethics and privacy principles and social skills within the context of accounting and Big Data issues; including 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 ? |
|---|---|---|---|
|
Semester 2 2025
|
Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
|
Find your current year census dates
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.
