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
Academic unit | Accounting |
---|---|
Credit points | 6 |
Prerequisites
?
|
ACCT5001 and QBUS5002 |
Corequisites
?
|
None |
Prohibitions
?
|
None |
Assumed knowledge
?
|
None |
Available to study abroad and exchange students | No |
Teaching staff
Coordinator | Paul Blayney, paul.blayney@sydney.edu.au |
---|---|
Lecturer(s) | Paul Blayney, paul.blayney@sydney.edu.au |
Ravi Seethamraju, ravi.seethamraju@sydney.edu.au | |
Stewart Jones, stewart.jones@sydney.edu.au | |
Bala Rajaratnam, bala.rajaratnam@sydney.edu.au | |
Emily Neo, emily.neo@sydney.edu.au |