Course Catalogue

Multivariate Analysis (Bologna) STATS4069

  • Academic Session: 2026-27
  • School: School of Mathematics and Statistics
  • Credits: 12
  • Level: Level 4 (SCQF level 10)
  • Typically Offered: Semester 2
  • Available to Visiting Students: No
  • Collaborative Online International Learning: No
  • Curriculum For Life: No

Short Description

The course provides the basic tools for dealing with problems and questions arising with multivariate data.

 

Timetable

Requirements of Entry

This course is only available to students on the Double Degree programme in Statistics with the University of Bologna.

Excluded Courses

Multivariate Methods [STATS4046]

Multivariate Methods (Level M) [STATS5021]

Co-requisites

-/-

Assessment

End-of-course examination, carried out in accordance with the assessment procedures and regulations of the University of Bologna.

Main Assessment In: April/May

Course Aims

This course aims 

■ to expose students to different methods for supervised and unsupervised learning from multivariate data;

■ to train students in the application and interpretation of statistical models for dimension reduction, clustering and supervised classification; and

■ to train students in using R to fit such models and interpret the output obtained.

Intended Learning Outcomes of Course

By the end of the course students will be able to:

■ apply and interpret methods of dimension reduction including principal component analysis, multidimensional scaling, factor analysis, canonical variates;

■ perform a cluster analysis;

■ apply and interpret supervised classification techniques; and

■ interpret the output of R procedures for multivariate statistics.

 

Minimum Requirement for Award of Credits

No exceptions