University of St Andrews

Key information

SCOTCAT credits : 15

ECTS credits : 7

Level : SCQF level 11

Semester: 2

Availability restrictions: Not automatically available to General Degree students

Planned timetable: 11.00 am Mon (even weeks), Tue and Thu

This module provides introductory and advanced training in the applied analysis of multivariate data. The module emphasis is upon practical analysis of data and the extraction of answers from real-life data. Basic theory is given covering matrix algebra, metrics and general measures of similarity. The most common and fundamental methods including dimension reduction and classification are covered e.g. Multivariate Analysis of Variance, Principal Components Analysis, multidimensional scaling, Factor Analysis, clustering methods. The practical component of the module focuses on analysis of real data using the commercial software tools Excel, SAS and SPSS.

Relationship to other modules

Pre-requisite(s): The student must have been accepted on to MMath Statistics or MMath Mathematics programmes

Anti-requisite(s): You cannot take this module if you take MT4609

Learning and teaching methods and delivery

Weekly contact: 2.5 lectures (weeks 1 - 10), and 4 tutorials and 4 project group meetings over the semester.

Scheduled learning hours: 33

Guided independent study hours: 117

Assessment pattern

As used by St Andrews: 2-hour Written Examination = 50%, Coursework = 50%

As defined by QAA
Written examinations : 50%
Practical examinations : 0%
Coursework: 50%

Re-assessment: 2-hour Written Examination = 100%

Personnel

Module teaching staff: Dr J Illian