Overview

The course gives a methodological background in multivariate analysis as a backbone of Applied Statistics. It introduces multivariate techniques including principal component analysis; canonical correlation analysis; cluster analysis; factor analysis and discriminant analysis. Computing and data analysis features prominently in this course.

Conditions for Enrolment

Enrolment in program 5659 or 8161 or 8719 or 8750 or 8959 or 8543 or 5546 or 7546 or 7659 or 8544

Prerequisite: MATH2801 or MATH2901 or MATH5846 and MATH5856

Additional Enrolment Constraints

Assumed knowledge of 24 units of level III mathematics or a degree in a numerate discipline or permission of the Course Authority.

Course Attributes

Offered irregularly or alternate years

Delivery

In-person - Standard (usually weekly or fortnightly)

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)