INF30036 · Swinburne University of Technology
Predictive Analytics
- Credit points
- 12.5
- Level
- 3
- Workload
- ≈ 13 h / week
- Faculty
- Business
What it covers
This unit aims to develop students' conceptual and practical understanding of predictive analytics and machine learning for business application. The unit emphasises data-driven decision-making and the application of predictive modelling to address business challenges and opportunities across various industry sectors. Students will learn to leverage appropriate analytical techniques to analyse datasets, identify patterns, forecast trends, and build predictive models that inform strategic business decisions and optimise operations. Real-world case studies and industry applications will illustrate how predictive analytics drives innovation and delivers measurable impact across a range of business sectors.
Assessment
Assessment not published yet.
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| Semester 2 | Hawthorn | On campus |
| Semester 1 | Hawthorn | On campus |