Units / FIT5235
FIT5235 · Business intelligence and analytics
2026 Handbook6 credit pointsLevel 5Faculty of Information Technology
Last checked: 23 Aug 2026 UTCOverview
This unit provides you with an understanding of the development and use of data, IT tools and techniques for modelling and decision support in business. The main focus, besides working with business data and the traditional analytic modelling of business decision making process using spreadsheets or self-service business intelligence (BI), will be IT tools and related techniques that can aid in the analysis and interpretation of real business problems confronting an enterprise with evidence-based solutions. You will apply design and systems thinking concepts, along with principles and techniques of BI and analytics, to a decision support challenge.
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Clayton | Second semester | Teaching activities are on-campus (ON-CAMPUS) |
| Malaysia | Second semester | Evening (EVENING) |
Assessment
The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | Business intelligence / analytics report | Written | 25% | — |
| 2 | Business intelligence / analytics project | Project | 45% | — |
| 3 | Reflection | Written | 25% | — |
| 4 | Continuous applied class assessment | Exercise | 5% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
prerequisite
- FIT5234 — Advanced business information systems analysis and design
Learning outcomes
- Explain a variety of business intelligence/analytics concepts, techniques, and applications in the real-world practice
- Analyse a business problem and its solution requirements, and critically apply the appropriate analytical tool to design solutions and to derive insights
- Interpret analytics outputs, convey analytical information and provide recommendations to a non-technical audience to address relevant business problems and/or aid decision-making
- Identify, formulate, and solve decision problems using analytics in different business contexts
Workload
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
| Activity | Duration |
|---|---|
| Applied sessions | 22 hours |
| Seminars | 24 hours |
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