MATH3856 Introduction to Data and Machine Learning (UNSW Sydney): rated 2.1/5 overall across 8 reviews collected on UNSW Wall.
MATH3856 is a UNSW Sydney course taught by the Faculty of Science in School of Mathematics & Statistics. This page brings together its handbook details and what UNSW students say about it.
Review data updated 2026-10-24.
Chinese title: 数据与机器学习导论
Type: Undergraduate course
Credit points: 6
Subject area: School of Mathematics & Statistics
Faculty: Faculty of Science
Level: Undergraduate Level 3
Handbook year: 2026
A wide range of statistical methods and computational tools have been developed in the past few decades to gather information from data. This undergraduate course covers the key techniques in data mining and machine learning with theoretical background and applications, delivered through a series of lectures and tutorials.
MATH3856 has 8 scored reviews: overall 2.1/5 (all out of 5; higher difficulty means harder).
Sources: 8 Reddit comments that an AI model judged to be reviewing this course (average would-recommend 2.1/5).
On Reddit: "Don't do this course. This year's math3856 enforce random group formation. You may get mates without coding ability and commitment to the group work. This course could be painful. I lodged a complaint to the lic. After that, he announce that we can form our own group for the sec…"
On Reddit: "don't do it. the teaching really sucks. There are two group assignments but all your teammates are Chinese international students hardly speaking English. There was a leakage of exam questions so everybody is going to retake it, given many of the Chinese students had already boo…"
The course panel on UNSW Wall shows every review and discussion in full.
Q: Is MATH3856 worth taking?
A: Averaged over 8 reviews: overall 2.1/5.
Q: Which faculty teaches MATH3856, and when is it offered?
A: MATH3856 is taught by the Faculty of Science. Check the official handbook for the current year.
UNSW Wall is an independent student community and is not affiliated with UNSW Sydney.