ECON3203 Econometric Theory and Machine Learning (UNSW Sydney): rated 2.9/5 overall across 12 reviews collected on UNSW Wall.
ECON3203 is a UNSW Sydney course taught by the UNSW Business School in School of Economics. This page brings together its handbook details and what UNSW students say about it.
Review data updated 2026-10-24.
Chinese title: 计量经济理论与机器学习
Type: Undergraduate course
Credit points: 6
Subject area: School of Economics
Faculty: UNSW Business School
Level: Undergraduate Level 3
Handbook year: 2026
Modern econometric work increasingly draws on econometrics, data science, statistics and machine learning. This course introduces these methods through the lens of econometric theory and applications.
ECON3203 has 12 scored reviews: overall 2.9/5 · usefulness 5.0 (all out of 5; higher difficulty means harder).
Sources: 1 StudentVIP review (average 5.0 stars); 11 Reddit comments that an AI model judged to be reviewing this course (average would-recommend 2.7/5).
On Reddit: "ECON3208 is a direct continuation of 2206. It uses the same textbook, just covers the chapters that 2206 doesn't. Michael Keane is a good lecturer if you have him, Fanghua not so much ECON3209 is very different from 2206 and 3208. It goes over the statistical foundations and the…"
On Reddit: "Econ 3203 is a piece of shit man, one of the worst courses I've taken in my uni career"
The course panel on UNSW Wall shows every review and discussion in full.
Q: Is ECON3203 worth taking?
A: Averaged over 12 reviews: usefulness 5.0/5, overall 2.9/5.
Q: Which faculty teaches ECON3203, and when is it offered?
A: ECON3203 is taught by the UNSW Business School. Check the official handbook for the current year.
UNSW Wall is an independent student community and is not affiliated with UNSW Sydney.