UnitLevel 3Undergraduate

ETM3800 Text analytics for business

Faculty of Business and Economics

ETM3800 Text analytics for business is a level 3, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2025 in Semester 2 at Malaysia. It has no prerequisites.

Credit points
6
Offered in 2025
Semester 2
Malaysia
Assessment
No exam
2 tasks
Workload
144 hours
per semester

This is the 2025 handbook entry. See the 2027 entry.

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Requisites

Before ETM3800

After ETM3800

No unit lists ETM3800 as a prerequisite in the 2025 handbook.

Overview

In the era of big data, the business world is deluged by huge amounts of data, of which more than 80% of the data is unstructured. In particular, unstructured text is one of the most common forms of unstructured data. Hence, knowing how to uncover business values from unstructured text is essential for a business analyst.

This unit provides a solid foundation of text analytics for you to uncover insights hidden within unstructured textual data. You will learn the five essential components of text analytics: text parsing, concept derivation, topic derivation, text categorization, and sentiment analysis. Then, you will integrate text data with structured data to enhance predictive modelling procedures. You will be exposed to real-world business applications using a computer software.

Offerings in 2025

Teaching periodCampusMode
Second semesterMalaysiaOn campus

Assessment

  • Written
    20%
  • Project
    80%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    appraise the concepts and methods of text pre-processing and analytics for business applications

  2. 2

    solve business problems using text analytics techniques

  3. 3

    use appropriate diagnostic statistics and procedures to evaluate text analytics results

  4. 4

    recommend effective solutions and suggestions based on text analytics results

Workload and teaching

  • Tutorials24 hours
  • Teaching approachProblem-based learning
  • Teaching approachCase-based teaching
  • 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 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 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 engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.

Where it fits

ETM3800 is part of 2 areas of study in the 2025 handbook.

Contacts

Chief Examiners
Abubakar Bala

Common questions

What are the prerequisites for ETM3800?

ETM3800 has no prerequisites.

When is ETM3800 offered?

In 2025, ETM3800 runs in Semester 2 at Malaysia.

How much work is ETM3800?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does ETM3800 have an exam?

No. ETM3800 has 2 assessment tasks and no exam.

Which majors and minors include ETM3800?

ETM3800 is part of Business analytics.

More details

Credit points
6
Level
3
Study level
Undergraduate
Faculty
Faculty of Business and Economics
Organisational unit
Department of Econometrics and Business Statistics
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 1
Study abroad
Not available
Handbook years
2024202520262027