STAT7007 Deep Learning (University of Queensland): rated 4.3/5 overall across 1 review collected on UQ Wall.
STAT7007 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: postgraduate coursework
Credit points: 2
Subject area: Statistics
Faculty: Faculty of Science
Level: Postgraduate Level 7
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.
STAT7007 has 1 scored review: overall 4.3/5 (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 4.3/5).
On Reddit: "STAT7007 (Deep Learning). Gives a decently mathematical introduction to modern deep learning. You do some pen & paper mathematical statistical stuff in the assignments, and also design & train deep learning models in PyTorch on toy datasets. You get the opportunity to also work …"
The course panel on UQ Wall shows every review and discussion in full.
Q: Is STAT7007 worth taking?
A: Averaged over 1 review: overall 4.3/5. Only a few reviews so far, so treat this as a rough guide.
Q: Which faculty teaches STAT7007, and when is it offered?
A: STAT7007 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.