ACO5170 Predictive analytics in business
Faculty of Business and Economics
ACO5170 Predictive analytics in business is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics. It isn't offered in 2022. It has no prerequisites.
- Credit points
- 6
- Offered in 2022
- Other periods
- Monash Online
- Assessment
- No exam
- 1 task
- Workload
- 144 hours
- per semester
This is the 2022 handbook entry. See the 2027 entry.
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Requisites
Before ACO5170
No prerequisites or corequisites besides the enrolment rules below.
After ACO5170
No unit lists ACO5170 as a prerequisite in the 2022 handbook.
Enrolment rules
You must be enrolled in course A6032, B4008, B6025 or B6028 to undertake this unit.
Overview
This unit introduces you to Big Data and predictive analytics using financial information. Specifically, you will learn and develop hands-on skills to manage large-scale financial databases and build predictive models that support strategic and investment decision making. Further, the unit introduces you to SQL coding and develops your skills in SAS statistics software necessary to process and analyse large datasets. It covers three applications of predictive analytics using financial data, namely: (1) forecasting future earnings; (2) predicting accounting fraud; and (3) predicting bankruptcy. The unit will be delivered online and you will learn to code and work on real financial data.
Offerings in 2022
| Teaching period | Campus | Mode |
|---|---|---|
| Teaching period 3 | Monash Online | Online |
| Teaching period 6 | Monash Online | Online |
Assessment
- Within semester assessmentThreshold hurdle100%
Learning outcomes
When you finish this unit, you should be able to:
- 1
understand the basic characteristics and applications of Big Data in business decision making
- 2
apply SQL and relevant software to manage and analyse large data sets to obtain insights from accounting Big Data
- 3
synthesise relevant information from academic research and industry practices to conceptualise predictive models
- 4
employ accounting Big Data to produce predictions for corporate earnings, accounting fraud, and bankruptcy
- 5
critically assess and test different models and select the optimal predictive models.
Workload and teaching
The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per teaching period typically comprising a mixture of scheduled online learning activities and independent study. Independent study may include associated readings and practice, assessment, and preparation for scheduled activities. The unit requires on average six hours of scheduled online activities per week. Scheduled activities may include a combination of reading, videos, quizzes, and interactive learning modules.
Contacts
- Chief Examiners
- Professor Wen He
Common questions
What are the prerequisites for ACO5170?
ACO5170 has no prerequisites, but enrolment rules apply.
When is ACO5170 offered?
ACO5170 has no offerings listed in the 2022 handbook.
How much work is ACO5170?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ACO5170 have an exam?
No. ACO5170 has 1 assessment task and no exam.