MATH3191 Mathematical Optimization for Data Science (UNSW Sydney): rated 2.1/5 overall across 1 review collected on UNSW Wall.
MATH3191 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: 数据科学数学优化
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 provides undergraduate students with an introduction to the major mathematical ideas behind modern optimisation techniques. The course covers theoretical foundations necessary for the in-depth understanding of modern optimisation methods for data science.
MATH3191 has 1 scored review: overall 2.1/5 (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 2.1/5).
On Reddit: "3191: trivial course, allows cheat sheet in finals so you basically just understand the lectures and tuts and dont need to memorise anything. as long as you dont drop marks on assignment then free 100. but i dont see much practical value of this course, icl, despite the name sou…"
The course panel on UNSW Wall shows every review and discussion in full.
Q: Is MATH3191 worth taking?
A: Averaged over 1 review: overall 2.1/5. Only a few reviews so far, so treat this as a rough guide.
Q: Which faculty teaches MATH3191, and when is it offered?
A: MATH3191 is taught by the Faculty of Science. Check the official handbook for the current year.
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