ACF5320 Business analytics
Faculty of Business and Economics
ACF5320 Business analytics is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics, offered in 2020 in Semester 1 and Semester 2 at Caulfield. It has no prerequisites.
- Credit points
- 6
- Offered in 2020
- Semester 1, Semester 2
- Caulfield
- Assessment
- Exam 50%
- and 1 other task
- Workload
- 144 hours
- per semester
This is the 2020 handbook entry. See the 2027 entry.
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Overview
This unit will prepare you for the rapidly evolving work environment by exploring business and accounting analytics. You will engage with analytical techniques including prescriptive, predictive, descriptive, and visual analytics. Using hands-on techniques, you will learn to process big data, including data location, extraction, cleansing, integration, modelling, and visualisation. You will employ these techniques to discover relevant patterns and gain insights for decision making. Business applications to accounting, finance, audit and management decision-making will be explored. The unit utilises Microsoft Excel and data mining and visualisation packages.
Offerings in 2020
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Caulfield | On campus |
| First semester | Caulfield | Evening |
| Second semester | Caulfield | On campus |
| Term 2 | Caulfield | On campus |
Assessment
- Within semester assessment50%
- ExaminationThreshold hurdle50%
Learning outcomes
When you finish this unit, you should be able to:
- 1
appraise the different roles of analytics in organisations
- 2
apply appropriate analytical techniques to business problems in the accounting, finance and audit contexts
- 3
evaluate available data and determine how data from various sources and formats can be useful for accounting and business decision making purposes
- 4
develop skills for collecting, extracting, cleansing, integrating, and modelling data to facilitate analytics
- 5
discuss potential risks and ethical issues associated with data collection and use.
Workload and teaching
- Laboratories12 hours
- Tutorials12 hours
- Lectures24 hours
- Teaching approachPeer assisted learning
- Teaching approachResearch activities
- Teaching approachActive learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
Discussions with peers in tutorials
Peer group work
Learning resources
Recommended resources
You may also wish to install Tableau in your own personal computer. Tableau can be downloaded for a trial period when you sign in using your student email address.
Technology resources
The only Faculty approved calculators permitted in tests and examinations for all Australian campuses and locations is the HP10bII+ or Casio FX82 (any suffix).
Contacts
- Chief Examiners
- Associate Professor Ly Fie Sugianto
Common questions
What are the prerequisites for ACF5320?
ACF5320 has no prerequisites.
When is ACF5320 offered?
In 2020, ACF5320 runs in Semester 1 and Semester 2 at Caulfield.
How much work is ACF5320?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ACF5320 have an exam?
Yes. The exam is worth 50% of the final mark, alongside 1 other task.