ETW3482 Data mining and predictive modelling
Faculty of Business and Economics
ETW3482 Data mining and predictive modelling is a level 3, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2025 in Semester 1 and Semester 2 at Malaysia. It has no prerequisites.
- Credit points
- 6
- Offered in 2025
- Semester 1, Semester 2
- Malaysia
- Assessment
- No exam
- 3 tasks
- Workload
- 144 hours
- per semester
This is the 2025 handbook entry. See the 2027 entry.
Reviews
No reviews yetNo reviews yet. Be the first to review ETW3482.
Requisites
Before ETW3482
Prohibitions
You can't enrol if you have passed any of these.
After ETW3482
No unit lists ETW3482 as a prerequisite in the 2025 handbook.
Overview
This unit will cover the key concepts of predictive modelling, emphasising applications in business. You will learn data pre-processing skills for predictive modelling. You will access data from various sources and be exposed to hands-on practice by studying industrial cases. You will become acquainted with popular supervised machine learning methods and gain sufficient confidence to make decisions based on data.
Offerings in 2025
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On campus |
| Second semester | Malaysia | On campus |
Assessment
- Within semester assessment100%
- Written20%
- Project80%
Learning outcomes
When you finish this unit, you should be able to:
- 1
appraise the benefits of data mining, predictive modelling and operationalising analytics in decision-making
- 2
develop a predictive modelling pipeline using appropriate data pre-processing techniques and models for solving a business or community case
- 3
assess the performance of the predictive models based on performance statistics
- 4
produce insightful conclusions and decisions based on model predictions.
Workload and teaching
- Tutorials24 hours
- Teaching approachCase-based teaching
- Teaching approachProblem-based learning
- 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 includes case-based teaching, where you apply your knowledge and engage in analytical and reflective thinking to solve complex contextual scenarios. Activities are often designed so that there is not one clear answer, but you need to work together to examine, analyse and make decisions to resolve the situation.
This unit includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
Where it fits
ETW3482 is part of 4 areas of study in the 2025 handbook.
Contacts
- Chief Examiners
- Dr Lee How Chinh
Common questions
What are the prerequisites for ETW3482?
ETW3482 has no prerequisites.
When is ETW3482 offered?
In 2025, ETW3482 runs in Semester 1 and Semester 2 at Malaysia.
How much work is ETW3482?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETW3482 have an exam?
No. ETW3482 has 3 assessment tasks and no exam.
Which majors and minors include ETW3482?
ETW3482 is part of Business analytics and FinTech.