DATA2901 Big Data and Data Diversity (Advanced) (University of Sydney): rated 3.4/5 overall across 6 reviews collected on USYD Wall.
DATA2901 is a University of Sydney course taught by the Faculty of Engineering in Computer Science. This page brings together its handbook details and what USYD students say about it.
Review data updated 2026-10-24.
Chinese title: 大数据与数据多样性（高级）
Type: Undergraduate
Credit points: 6
Subject area: Computer Science
Faculty: Faculty of Engineering
Level: Undergraduate Level 2
Handbook year: 2026
This course focuses on methods and techniques to efficiently explore and analyse large data collections. Where are hot spots of pedestrian accidents across a city?
DATA2901 has 6 scored reviews: overall 3.4/5 (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 3.4/5).
On Reddit: "Yeah, got 95.1% going into the final exam, yet only got a final mark 76."
On Reddit: "From memory, there isn’t a huge difference in the difficulty (final exams are the same) but there is a bit more content (which I found really interesting). Garth is an incredible lecturer and I highly recommend taking DATA2901!"
The course panel on USYD Wall shows every review and discussion in full.
Q: Is DATA2901 worth taking?
A: Averaged over 6 reviews: overall 3.4/5.
Q: Which faculty teaches DATA2901, and when is it offered?
A: DATA2901 is taught by the Faculty of Engineering. Check the official handbook for the current year.
USYD Wall is an independent student community and is not affiliated with University of Sydney.