STAT3007 Deep Learning (University of Queensland): rated 3.8/5 overall across 9 reviews collected on UQ Wall.
STAT3007 is a University of Queensland course taught by the Faculty of Science in Statistics. This page brings together its handbook details and what UQ students say about it.
Review data updated 2026-10-24.
Chinese title: 深度学习
Type: undergraduate
Credit points: 2
Subject area: Statistics
Faculty: Faculty of Science
Level: Undergraduate Level 3
Handbook year: 2026
Deep learning has become a much sought-after game-changing technology that has enabled breakthroughs in applications such as intelligent virtual assistants, medical diagnosis, recommender systems, and autonomous driving. This course provides a comprehensive and rigorous coverage of deep learning from both applied and theoretical perspectives.
STAT3007 has 9 scored reviews: overall 3.8/5 (all out of 5; higher difficulty means harder).
Sources: 9 Reddit comments that an AI model judged to be reviewing this course (average would-recommend 3.8/5).
On Reddit: "Ive taken COMP7703 (very similar to 4702), STAT3007 and COMP3710 (in that respective order). I would recommend you take COMP3710 and 4702. 3710 will ease you into much more of the fundamental ideas behind deep learning and I wish I had started with this one. COMP4702 will give y…"
On Reddit: "comp3702 is fun but not that practical, covers old-school ai until the last couple of weeks where you learn a tiny bit of reinforcement learning. csse2310 is really good but old school programming. csse3200 might also be good, haven't taken it but apparently the whole class buil…"
The course panel on UQ Wall shows every review and discussion in full.
Q: Is STAT3007 worth taking?
A: Averaged over 9 reviews: overall 3.8/5.
Q: Which faculty teaches STAT3007, and when is it offered?
A: STAT3007 is taught by the Faculty of Science. Check the official handbook for the current year.
UQ Wall is an independent student community and is not affiliated with University of Queensland.