ECMT3185 Econometrics of Machine Learning (University of Sydney): rated 3.8/5 overall across 5 reviews collected on USYD Wall.
ECMT3185 is a University of Sydney course taught by the Faculty of Arts and Social Sciences in Economics. This page brings together its handbook details and what USYD students say about it.
Review data updated 2026-10-24.
Chinese title: 机器学习计量经济学
Type: Undergraduate
Credit points: 6
Subject area: Economics
Faculty: Faculty of Arts and Social Sciences
Level: Undergraduate Level 3
Handbook year: 2026
This unit introduces the theory and application of statistical machine learning. Topics covered include supervised versus unsupervised learning; regression and classification; resampling methods including cross-validation and Bootstrap; regularization and shrinkage approaches such as Lasso; tree-based methods including decision tree and random forest.
ECMT3185 has 5 scored reviews: overall 3.8/5 (all out of 5; higher difficulty means harder).
Sources: 5 Reddit comments that an AI model judged to be reviewing this course (average would-recommend 3.8/5).
On Reddit: "ECMT3130 Forecasting for Economics and Business- was okay, the unit had midsem, coding assignment in R and final exam. Marking isn't harsh and it's easy to understand the material and get a good score. [ECMT3130 lecture notes](https://davidubilava.com/forecasting/) ECMT3150 The …"
On Reddit: "ECMT3110 is run by Brendan Beare (usually). Less applied stuff on MATLAB, more on theory behind linear regression, so ECMT2160 taken further. Some people struggled with theory and the exam questions. The mid sem scores were pretty bad when I did it but if you’ve got prior knowle…"
The course panel on USYD Wall shows every review and discussion in full.
Q: Is ECMT3185 worth taking?
A: Averaged over 5 reviews: overall 3.8/5.
Q: Which faculty teaches ECMT3185, and when is it offered?
A: ECMT3185 is taught by the Faculty of Arts and Social Sciences. Check the official handbook for the current year.
USYD Wall is an independent student community and is not affiliated with University of Sydney.