MATH5836 Data and Machine Learning (UNSW Sydney): rated 3.4/5 overall across 3 reviews collected on UNSW Wall.
MATH5836 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
Type: Postgraduate course
Credit points: 6
Subject area: School of Mathematics & Statistics
Faculty: Faculty of Science
Level: Postgraduate Level 5
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 postgraduate course covers the key techniques in data mining and machine learning with theoretical background and applications, delivered through a series of lectures and tutorials.
MATH5836 has 3 scored reviews: overall 3.4/5 (all out of 5; higher difficulty means harder).
Sources: 3 Reddit comments that an AI model judged to be reviewing this course (average would-recommend 3.4/5).
On Reddit: "Late to party. Graduating with masters of stats. >Math5835 Stochastic Processes Depends on lecturer, but ours was absurdly hard as the lecturer couldn't teach his way out of a paper bag but was the only one qualified. Prereq though so find a good book and self study. >Math5806 A…"
On Reddit: "Comp9417 is way more easier than Math5836. But I wouldn’t say neither are hard. If you study, anything is easy."
The course panel on UNSW Wall shows every review and discussion in full.
Q: Is MATH5836 worth taking?
A: Averaged over 3 reviews: overall 3.4/5.
Q: Which faculty teaches MATH5836, and when is it offered?
A: MATH5836 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.