Business Intelligence

Postgraduate | 2026

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Area/Catalogue
INFO 6020
Course ID icon
Course ID
203985
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course level icon
Course level
2
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No
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Note:
Course data is interim and subject to change

Course overview

This course aims to equip learners with the knowledge and skills to effectively use business information systems and business intelligence for enhanced decision-making. The course follows the CRISP-DM framework to decompose and structure the intelligence/analytic task and guides students in applying this framework in real-world scenarios. The practical component of the course introduces students to Tableau (professional visualisation tool) and KNIME (free, open analytic system similar to SAS, introducing the concept of workflow assembly from configurable nodes of functionality). 

Course learning outcomes

  • Explain the nature and role of business intelligence and analytics in decision-making, actionable insights, and contributing to the delivery of business value and competitive advantage in modern organisations
  • Apply the CRISP-DM framework in a realistic analytic task
  • Evaluate key data analytics methods, be able to discuss the pros and cons of those methods; apply this knowledge in writing analytic plan
  • Critically evaluate models against the given business task
  • Summarise the results and recommendations in a report and defend the report in discussion
  • Use modern analytics software tools to solve real world problems

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A