FIT5201 Machine learning (Monash University): rated 2.4/5 overall across 22 reviews collected on Monash Wall.
FIT5201 is a Monash University course taught by the Faculty of Information Technology in Information Technology. This page brings together its handbook details and what Monash students say about it.
Review data updated 2026-10-24.
Chinese title: 机器学习
Credit points: 6
Subject area: Information Technology
Faculty: Faculty of Information Technology
Level: Graduate Level 5
Handbook year: 2026
FIT5201 has 22 scored reviews: overall 2.4/5 · usefulness 2.5 (all out of 5; higher difficulty means harder).
Sources: 2 StudentVIP reviews (average 2.5 stars); 20 Reddit comments that an AI model judged to be reviewing this course (average would-recommend 2.4/5).
On Reddit: "Pretty sure 50% of students fail in their first attempt. If you’re a DS or IT student doing this unit it’s completely useless. ML should be about applying the techniques and not going that deep under hood where you are literally deriving formulas and techniques. Just knowing the…"
On Reddit: "Fit5201 is pretty tough. Prepare for the exam, memorise all the graphs and formulas."
The course panel on Monash Wall shows every review and discussion in full.
Q: Is FIT5201 worth taking?
A: Averaged over 22 reviews: usefulness 2.5/5, overall 2.4/5.
Q: Which faculty teaches FIT5201, and when is it offered?
A: FIT5201 is taught by the Faculty of Information Technology. Check the official handbook for the current year.
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