ETM5950 Data analytics for business
Faculty of Business and Economics
ETM5950 Data analytics for business is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics, offered in 2027 in Semester 1 and Semester 2 at Malaysia. It needs ETM5900.
- Credit points
- 6
- Offered in 2027
- Semester 1, Semester 2
- Malaysia
- Assessment
- No exam
- 3 tasks
- Workload
- 144 hours
- per semester
Reviews
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Requisites
Before ETM5950
Prerequisites
Pass these before you enrol.
After ETM5950
No unit lists ETM5950 as a prerequisite in the 2027 handbook.
Enrolment rules
If you are enrolled in B6007 you must have completed or been exempted from ETM5900 to undertake this unit.
Overview
This unit lays a solid foundation in data analytics, tailored for a career in business management. It recognises that most management decisions are made under uncertain conditions, necessitating analytical frameworks for leveraging data as a strategic asset to create a competitive advantage. You will engage with real-world business issues and applications, learning to apply suitable statistical methods for business analytics using various computer software. These methods encompass descriptive, predictive, and prescriptive analytics.
By presenting the content from a managerial perspective, this unit aims to cultivate a managerial mindset focused on making decisions based on analytical insights. The guided learning approach of this unit is designed to help you connect theory with practice, enabling you to effectively visualise, analyse, and communicate insights derived from data visualisation and analysis.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On campus |
| Second semester | Malaysia | On campus |
Assessment
- Written30%
- Written40%
- Presentation30%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
compare different sources, types, and structures of business data
- 2
analyse business trends and patterns using descriptive analytics methods
- 3
evaluate relationships in business data and develop predictive models using analytics techniques
- 4
formulate and communicate data-driven recommendations to support informed business decisions.
Workload and teaching
- Tutorials24 hours
- Teaching approachProblem-based learning
- Teaching approachActive learning
- Teaching approachWork-integrated 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 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.
This unit provides you with the opportunity to engage in work-Integrated learning to incorporate professional and industry experience into your studies.
Contacts
- Chief Examiners
- Associate Professor Manjeevan Singh Seera
Common questions
What are the prerequisites for ETM5950?
You need ETM5900 before you enrol. Enrolment rules also apply.
When is ETM5950 offered?
In 2027, ETM5950 runs in Semester 1 and Semester 2 at Malaysia.
How much work is ETM5950?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETM5950 have an exam?
No. ETM5950 has 3 assessment tasks and no exam.