ACX3300 · Monash University
Predictive analytics in accounting
- Credit points
- 6
- Level
- 3
- Workload
- ≈ 12 h / week
- Faculty
- Business and Economics
What it covers
This unit introduces you to Big Data and predictive analytics using accounting information. It will teach you the hands-on skills to manage large-scale financial databases and build predictive models to support strategic and investment decision-making. The unit will introduce you to the use of Python programming to process and analyse Big Data. It will cover descriptive analytics, data visualization, regression analysis, machine learning, and textual analysis. The focus is on the applications of predictive analytics using accounting data: (1) forecasting future earnings; (2) predicting accounting fraud; and (3) predicting bankruptcy. You will work on real-world data to develop and validate their predictive models.
Assessment
| Task | Type | Weight |
|---|---|---|
| 3 - Project | Project | 40% |
| 1 - Quiz / Test | Quiz / Test | 33% |
| 2 - Project | Project | 27% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Caulfield | On-campus |