ETF5912 Data analysis in business
Faculty of Business and Economics
ETF5912 Data analysis in business is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics, offered in 2025 in Semester 1 and Semester 2 at Caulfield. It needs ETB1100, ETC5900, ETW1001, ETX1100, ETF1100, FIT1006, ETX5900, ETF5900, SCI1020, ETC1000, ETM5900 or STA1010 and unlocks 3 units, leading on to 6 units in all.
- Credit points
- 6
- Offered in 2025
- Semester 1, Semester 2
- Caulfield
- Assessment
- Exam 100%
- and 3 other tasks
- Workload
- 144 hours
- per semester
This is the 2025 handbook entry. See the 2027 entry.
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Requisites
Before ETF5912
Prerequisites
Pass these before you enrol.
- ETB1100Business statisticsNo reviews yet
- ETC5900Business statisticsNo reviews yet
- ETW1001Introduction to statistical analysisNo reviews yet
- ETX1100Business statisticsNo reviews yet
- ETF1100Business statisticsNo reviews yet
- FIT1006Business information analysisNo reviews yet
- ETX5900Business statisticsNo reviews yet
- ETF5900Business statisticsNo reviews yet
- SCI1020Introduction to statistical reasoningNo reviews yet
- ETC1000Business and economic statisticsNo reviews yet
- ETM5900Business statisticsNo reviews yet
- STA1010Statistical methods for scienceNo reviews yet
Prohibitions
You can't enrol if you have passed any of these.
After ETF5912
3 units list ETF5912 as a prerequisite or corequisite.
Enrolment rules
If you are enrolled in course B6001, there is no prerequisite.
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit will introduce statistical concepts and their applications to business sectors of finance, accounting, marketing and management. Topics covered include: sampling techniques, confidence intervals and hypothesis testing (for both single populations and between populations). The multiple regression models and time series models -- that are very popular in data analysis and forecasting in public sectors and industries -- will be covered in detail in this unit.
Offerings in 2025
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Caulfield | Blended |
| Second semester | Caulfield | Blended |
Assessment
- Within semester assessment50%
- Examination50%
- Quiz / Test10%
- Written40%
- Examination50%
Learning outcomes
When you finish this unit, you should be able to:
- 1
define different sampling techniques and use Excel to generate samples from these techniques
- 2
demonstrate an understanding of the role of inference and hypothesis testing in statistics and their value when applied in financial, marketing and management fields
- 3
conduct hypothesis tests for means and proportions of single populations, identify significant differences between two populations in terms of means, proportions and variances and interpret the value of these techniques in business
- 4
interpret and analyse the results of a regression analysis using a linear model, a model which incorporates dummy variables, or models involving nonlinear terms.
Workload and teaching
- Seminars24 hours
- Tutorials12 hours
- Workshops12 hours
- 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. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
Learning resources
Technology resources
There may be an additional cost associated with purchasing a physical and/or virtual calculator. Specific details will be provided in the Learning Management System by commencement of Orientation week.
Where it fits
ETF5912 is part of 2 areas of study in the 2025 handbook.
Contacts
- Chief Examiners
- Dr Hsein Kew
- Julia Polak
Common questions
What are the prerequisites for ETF5912?
You need ETB1100, ETC5900, ETW1001, ETX1100, ETF1100, FIT1006, ETX5900, ETF5900, SCI1020, ETC1000, ETM5900 or STA1010 before you enrol. Enrolment rules also apply.
What can I take after ETF5912?
ETF5912 is a prerequisite or corequisite for 3 units, including ETC5550, ETF5231 and ETF5500. Those lead on to 6 units in all.
When is ETF5912 offered?
In 2025, ETF5912 runs in Semester 1 and Semester 2 at Caulfield.
How much work is ETF5912?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETF5912 have an exam?
Yes. The exam is worth 100% of the final mark, alongside 4 other tasks.
Which majors and minors include ETF5912?
ETF5912 is part of Data analytics for business and Financial analytics.