STAT3888 Statistical Machine Learning (University of Sydney): rated 3.5/5 overall across 2 reviews collected on USYD Wall.
STAT3888 is a University of Sydney course taught by the Faculty of Science in Mathematics and Statistics Academic Operations. This page brings together its handbook details and what USYD students say about it.
Review data updated 2026-10-24.
Chinese title: 统计机器学习
Type: Undergraduate
Credit points: 6
Subject area: Mathematics and Statistics Academic Operations
Faculty: Faculty of Science
Level: Undergraduate Level 3
Handbook year: 2026
Data Science is an emerging and inherently interdisciplinary field. A key set of skills in this area fall under the umbrella of Statistical Machine Learning methods.
STAT3888 has 2 scored reviews: overall 3.5/5 (all out of 5; higher difficulty means harder).
Sources: 2 Reddit comments that an AI model judged to be reviewing this course (average would-recommend 3.5/5).
On Reddit: "I did STAT3888 which is one of the projects NUTM3888 collaborates and writes their major manuscript in. You basically get a dataset and can choose your own research question, it’s pretty open ended so depending on you and your group you can do whatever interests you. This is one…"
On Reddit: "I'll talk about subjects I've done that are 2000+ level: DATA2001 - the stuff they teach are useful, but they lack the resources for it - for a subject that teaches about web APIs, NoSQL, and text data processing - I felt they only went VERY surface level and taught the theory o…"
The course panel on USYD Wall shows every review and discussion in full.
Q: Is STAT3888 worth taking?
A: Averaged over 2 reviews: overall 3.5/5. Only a few reviews so far, so treat this as a rough guide.
Q: Which faculty teaches STAT3888, and when is it offered?
A: STAT3888 is taught by the Faculty of Science. Check the official handbook for the current year.
USYD Wall is an independent student community and is not affiliated with University of Sydney.