ETC3250 Introduction to machine learning (Monash University): rated 2.8/5 overall across 6 reviews collected on Monash Wall.
ETC3250 is a Monash University course taught by the Business and Economics in Econometrics and Business Statistics. This page brings together its handbook details and what Monash students say about it.
Review data updated 2026-10-24.
Chinese title: 机器学习导论
Credit points: 6
Subject area: Econometrics and Business Statistics
Faculty: Business and Economics
Level: Undergraduate Level 3
Handbook year: 2026
ETC3250 has 6 scored reviews: overall 2.8/5 (all out of 5; higher difficulty means harder).
Sources: 6 Reddit comments that an AI model judged to be reviewing this course (average would-recommend 2.8/5).
On Reddit: "I did ETC3250 last year sem 1. hardest unit ever on godddd. only good thing was that the exam allowed chatgpt."
On Reddit: "I‘ve nearly finished completing this major. It is very statistics oriented and you will conduct most of your statistical analysis in r studio. You do learn some programming in units such as etc1010 & you can undertake some programming heavy units like FIT1045 as part of this maj…"
The course panel on Monash Wall shows every review and discussion in full.
Q: Is ETC3250 worth taking?
A: Averaged over 6 reviews: overall 2.8/5.
Q: Which faculty teaches ETC3250, and when is it offered?
A: ETC3250 is taught by the Business and Economics. Check the official handbook for the current year.
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