MATH5945 Categorical Data Analysis (UNSW Sydney): rated 3.7/5 overall across 2 reviews collected on UNSW Wall.
MATH5945 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: 分类数据分析
Type: Postgraduate course
Credit points: 6
Subject area: School of Mathematics & Statistics
Faculty: Faculty of Science
Level: Postgraduate Level 5
Handbook year: 2026
This postgraduate course provides the theoretical foundation and methodological background for the analysis of categorical response data. Through a series of lectures and labs, a range of topics will be introduced including the Bernoulli trial, the analysis of contingency tables, and generalised linear models including logistic and Poisson regression.
MATH5945 has 2 scored reviews: overall 3.7/5 (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 3.7/5).
On Reddit: "Hey, Okay so instead of math5836, I dropped it and took math5960 instead, which is Bayesian. Much better course. It's challenging but imo it is quite useful for statisticians and Data scientists. As with the other 2, 5855 and 5945 are more research and assignment related stuff i…"
On Reddit: "Anytime, Sorry. I'm not 100% sure what you meant by "applications and general interview questions" but in regards to usefulness, all subjects Ive listed (including 5836) are quite useful as it goes through a lot of statistical and ml concepts such as Bayes thm, Importance/Invers…"
The course panel on UNSW Wall shows every review and discussion in full.
Q: Is MATH5945 worth taking?
A: Averaged over 2 reviews: overall 3.7/5. Only a few reviews so far, so treat this as a rough guide.
Q: Which faculty teaches MATH5945, and when is it offered?
A: MATH5945 is taught by the Faculty of Science. Check the official handbook for the current year.
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