MAST90083 Computational Statistics & Data Science (University of Melbourne): rated 2.3/5 overall, difficulty 1.0/5 (higher is harder), would-recommend 1.2/5 across 35 reviews collected on UniMelb Wall.
MAST90083 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: 计算统计学与数据科学
Type: Graduate coursework subject
Subject area: Mathematics and Statistics
Faculty: Faculty of Science
Level: research
Handbook year: 2026
Computing techniques and data mining methods are indispensable in modern statistical research and data science applications, where "Big Data" problems are often involved. This subject will introduce a number of recently developed methods and applications in computational statistics and data scien.
MAST90083 has 35 scored reviews: overall 2.3/5 · usefulness 0.0 · difficulty 1.0 · would-recommend 1.2 (all out of 5; higher difficulty means harder).
Sources: 5 reviews by UniMelb students on UniMelb Wall (3.6/5 overall); 30 Reddit comments that an AI model judged to be reviewing this course (average would-recommend 2.1/5).
On Reddit: "easily the worst subject ive ever taken in terms of teaching quality, karim is such a miserable fucker and his lectures really do reflect that, personally i didnt go to any consultations but there were barely any answers on ed or practice material because the one past exam he pr…"
On Reddit: "I recommend MAST90083 Computational Statistics & Data Science, everyone enjoy learning this course."
The course panel on UniMelb Wall shows every review and discussion in full.
Q: Is MAST90083 hard?
A: Students rate MAST90083's difficulty 1.0/5 on average (higher is harder), which makes it on the easier side.
Q: Is MAST90083 worth taking?
A: Averaged over 35 reviews: would-recommend 1.2/5, usefulness 0.0/5, overall 2.3/5.
Q: Which faculty teaches MAST90083, and when is it offered?
A: MAST90083 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.