INFS4203 Data Mining (University of Queensland): rated 3.6/5 overall across 6 reviews collected on UQ Wall.
INFS4203 is a University of Queensland course taught by the Faculty of Engineering, Architecture and Information Technology in Information Systems. This page brings together its handbook details and what UQ students say about it.
Review data updated 2026-10-24.
Chinese title: 数据挖掘
Type: undergraduate
Credit points: 2
Subject area: Information Systems
Faculty: Faculty of Engineering, Architecture and Information Technology
Level: Undergraduate Level 4
Handbook year: 2026
Techniques used for data cleaning, finding patterns in structured, text and web data; with application to areas such as customer relationship management, fraud detection and homeland security.
INFS4203 has 6 scored reviews: overall 3.6/5 (all out of 5; higher difficulty means harder).
Sources: 6 Reddit comments that an AI model judged to be reviewing this course (average would-recommend 3.6/5).
On Reddit: "Haven't don't infs4205 but took infs4203 and was very disappointed. It felt more like machine learning course but the concepts definitely lacked theoretical depth. Maybe it's just because I was a math student and it's catered for data science. I'd recommend taking stat3006 if yo…"
On Reddit: "I highly recommend COMP3710 and INFS4203. I've begun working full-time at a data analytics company and those two courses are by far the most useful for my job. Also the new DATA2001. It starts slow but the second half is extremely useful."
The course panel on UQ Wall shows every review and discussion in full.
Q: Is INFS4203 worth taking?
A: Averaged over 6 reviews: overall 3.6/5.
Q: Which faculty teaches INFS4203, and when is it offered?
A: INFS4203 is taught by the Faculty of Engineering, Architecture and Information Technology. Check the official handbook for the current year.
UQ Wall is an independent student community and is not affiliated with University of Queensland.