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A course mapper by Monash Association of Coding (MAC)
Predictive analytics in accounting
ACX3300
Synopsis
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.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 3
- Audience
- Undergraduate
- Type
- Coursework
- School
- Faculty of Business and Economics
- Faculty
- Department of Accounting
- Handbook year
- 2026
Prerequisites (12)
- Accounting in businessACB1020
- Financial accounting 1ACB1120
- Accounting fundamentalsACC1001
- Introduction to financial accountingACC1100
- Accounting fundamentalsACF1001
- Introduction to financial accountingACF1100
- Accounting fundamentalsACX1001
- ACX1100ACX1100
- Business statisticsETB1100
- Business and economic statisticsETC1000
- Business statisticsETF1100
- Business statisticsETX1100
What it unlocks
Nothing in the visible graph depends on this unit.
Offerings (1)
- First semesterCaulfield · ON-CAMPUS
Listed in 2 areas of study
- AccountingAdditional units
- AccountingAdditional Accounting Units