MATH5806 Applied Regression Analysis (UNSW Sydney): rated 4.5/5 overall across 1 review collected on UNSW Wall.
MATH5806 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: 应用回归分析
Type: Postgraduate course
Credit points: 6
Subject area: School of Mathematics & Statistics
Faculty: Faculty of Science
Level: Postgraduate Level 5
Handbook year: 2026
Regression is a set of statistical techniques widely used to analyse relationships between several variables. The topics covered in this course include: linear regression; weighted least squares; generalized linear models (GLMs); fitting GLMs and examining model diagnostics; Poisson regression, binomial regression; analysis of variance; penalized regression methods; splines; penalized splines; thin plate splines; variable selection; generalized cross-validation; local like…
MATH5806 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: "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…"
The course panel on UNSW Wall shows every review and discussion in full.
Q: Is MATH5806 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 MATH5806, and when is it offered?
A: MATH5806 is taught by the Faculty of Science. Check the official handbook for the current year.
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