42050 SAS Predictive Business Analytics (University of Technology Sydney): rated 3.8/5 overall across 1 review collected on UTS Wall.
42050 is a University of Technology Sydney course taught by the Faculty of Engineering and Information Technology in Computer Science. This page brings together its handbook details and what UTS students say about it.
Review data updated 2026-10-24.
Chinese title: SAS预测性业务分析
Type: Postgraduate subject
Credit points: 6
Subject area: Computer Science
Faculty: Faculty of Engineering and Information Technology
Level: Postgraduate
Handbook year: 2026
Predictive business analytics is used to predict unknown future events by analysing historical business data and plays a critical function in data-driven business. This subject will equip you with the theoretical and practical foundations of predictive business analytics.
42050 has 1 scored review: overall 3.8/5 (all out of 5; higher difficulty means harder).
Sources: 1 Reddit comment that an AI model judged to be reviewing this course (average would-recommend 3.8/5).
On Reddit: "I did SAS Predictive Business Analytics. You learn how to use the SAS platform for building and deploying models, which is the assessment for the subject. It's similar to KNIME if you've used that before. You also need to write a report for the project; mainly regarding the algo…"
The course panel on UTS Wall shows every review and discussion in full.
Q: Is 42050 worth taking?
A: Averaged over 1 review: overall 3.8/5. Only a few reviews so far, so treat this as a rough guide.
Q: Which faculty teaches 42050, and when is it offered?
A: 42050 is taught by the Faculty of Engineering and Information Technology. Check the official handbook for the current year.
UTS Wall is an independent student community and is not affiliated with University of Technology Sydney.