MATH3911 Higher Statistical Inference (UNSW Sydney): rated 4.5/5 overall across 1 review collected on UNSW Wall.
MATH3911 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: 高等统计推断
Type: Undergraduate course
Credit points: 6
Subject area: School of Mathematics & Statistics
Faculty: Faculty of Science
Level: Undergraduate Level 3
Handbook year: 2026
This course introduces students to the field of statistical inference including the main parametric and non-parametric techniques. During seminars and tutorials a range of topics will be introduced including Uniformly minimum variance estimation, Cramer-Rao inequality, Lehmann-Scheffe theorem, Monotone likelihood ratio distributions and uniformly most powerful unbiased tests, Generalised likelihood ratio tests, exact tests and large sample tests, Bayesian point estimation,…
MATH3911 has 1 scored review: overall 4.5/5 (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 4.5/5).
On Reddit: "Easy courses (with difficulty levels): MATH3171 (0.5/5, free marks don’t come any easier than this course) MATH3411 (0.5/5) MATH3161 (1/5) MATH3911 (1/5. There’s 740+ slides in this course but it’s actually very very chill in terms of content) MATH3431 (1/5) MATH3311 (2/5. Requi…"
The course panel on UNSW Wall shows every review and discussion in full.
Q: Is MATH3911 worth taking?
A: Averaged over 1 review: overall 4.5/5. Only a few reviews so far, so treat this as a rough guide.
Q: Which faculty teaches MATH3911, and when is it offered?
A: MATH3911 is taught by the Faculty of Science. Check the official handbook for the current year.
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