MAST90144 Stochastic Optimisation (University of Melbourne): rated 2.6/5 overall across 2 reviews collected on UniMelb Wall.
MAST90144 is a University of Melbourne course taught by the Faculty of Science in Mathematics and Statistics. This page brings together its handbook details and what UniMelb students say about it.
Review data updated 2026-10-24.
Chinese title: 随机优化
Type: Graduate coursework subject
Subject area: Mathematics and Statistics
Faculty: Faculty of Science
Level: Graduate coursework Level 9
Handbook year: 2026
Stochastic optimisation encompasses many diverse areas including control theory, reinforcement learning, multiarmed bandit problems, simulation optimisation, and neural networks. Stochastic optimisation can be succinctly described as sequential decision making under uncertainty.
MAST90144 has 2 scored reviews: overall 2.6/5 (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 2.6/5).
On Reddit: "If you’re only looking to do one of optimisation for industry or stochastic optimisation I would go for optimisation for industry. Much more fundamental modelling framework for optimisation problems. Stochastic optimisation takes a more advanced approach that only applies to cer…"
On Reddit: "Defs more like a dmor subject, bellman’s equation is indeed the fundamental equation used throughout the subject, but approximations need to be made due to its intractability / curse of dimensionality. Not much analysis in the subject, it’s about designing algorithms to solve re…"
The course panel on UniMelb Wall shows every review and discussion in full.
Q: Is MAST90144 worth taking?
A: Averaged over 2 reviews: overall 2.6/5. Only a few reviews so far, so treat this as a rough guide.
Q: Which faculty teaches MAST90144, and when is it offered?
A: MAST90144 is taught by the Faculty of Science. Check the official handbook for the current year.
UniMelb Wall is an independent student community and is not affiliated with University of Melbourne.