MAST90104 A First Course In Statistical Learning

MAST90104 A First Course In Statistical Learning (University of Melbourne): rated 4.0/5 overall across 1 review collected on UniMelb Wall.

MAST90104 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.

Course details

Chinese title: 统计学习入门

Type: Graduate coursework subject

Subject area: Mathematics and Statistics

Faculty: Faculty of Science

Level: Graduate coursework Level 9

Handbook year: 2026

Overview

Supervised statistical learning is based on the widely used linear models that model a response as a linear combination of explanatory variables. Initially this subject develops an elegant unified theory for a quantitative response that includes the estimation of model parameters, hypothesis test.

MAST90104 student reviews, difficulty and workload

MAST90104 has 1 scored review: overall 4.0/5 · usefulness 4.0 (all out of 5; higher difficulty means harder).

Sources: 1 StudentVIP review (average 4.0 stars).

The course panel on UniMelb Wall shows every review and discussion in full.

MAST90104 FAQ

Q: Is MAST90104 worth taking?

A: Averaged over 1 review: usefulness 4.0/5, overall 4.0/5. Only a few reviews so far, so treat this as a rough guide.

Q: Which faculty teaches MAST90104, and when is it offered?

A: MAST90104 is taught by the Faculty of Science. Check the official handbook for the current year.

Related courses

More on UniMelb Wall

Official page

UniMelb Wall is an independent student community and is not affiliated with University of Melbourne.