MATH5960 Bayesian Inference and Computation (UNSW Sydney): rated 4.1/5 overall across 1 review collected on UNSW Wall.
MATH5960 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: 贝叶斯推断与计算
Type: Postgraduate course
Credit points: 6
Subject area: School of Mathematics & Statistics
Faculty: Faculty of Science
Level: Postgraduate Level 5
Handbook year: 2026
After describing the fundamentals of Bayesian inference, this course will examine the specification of prior and posterior distributions, Bayesian decision theoretic concepts, the ideas behind Bayesian hypothesis tests, model choice and model averaging, and evaluate the capabilities of several common model types, such as hierarchical and mixture models. An important part of Bayesian inference is the requirement to numerically evaluate complex integrals on a routine basis.
MATH5960 has 1 scored review: overall 4.1/5 (all out of 5; higher difficulty means harder).
Sources: 1 Reddit comment that an AI model judged to be reviewing this course (average would-recommend 4.1/5).
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…"
The course panel on UNSW Wall shows every review and discussion in full.
Q: Is MATH5960 worth taking?
A: Averaged over 1 review: overall 4.1/5. Only a few reviews so far, so treat this as a rough guide.
Q: Which faculty teaches MATH5960, and when is it offered?
A: MATH5960 is taught by the Faculty of Science. Check the official handbook for the current year.
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