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MT5756 Data Analysis

SCOTCAT credits:20
Academic year(s):2017/8
SCQF Level 11
Planned timetable:2.00 pm

This module provides coverage of essential statistical concepts, data manipulation and analysis methods, and software skills in commercial analysis packages. Specifically: the different types of data and their numerical/graphical treatment; data entry/import/export, basic probability theory and concepts of inference; fundamental statistical concepts with particular emphasis on sampling issues; basic statistical models and tests; introductory computer-intensive inference. The widespread commercial statistical packages SAS, SPSS are introduced and utilised with Excel for most analyses. The statistical programming language R is also given brief attention. This module is a short intensive course and is a core, preliminary, requirement for the MSc in Applied Statistics and Datamining. It covers material essential for study of the more advanced statistical methods encountered in subsequent modules.

Place in programme(s) and relationship to other modules


Compulsory for Applied Statistics and Datamining MSc Programme. An exemption may be granted to an appropriately qualified entrant. Compulsory for Data-Intensive Analysis MSc Programme.

Learning and teaching methods and delivery

Weekly contact:Lectures, tutorials and practicals for 4 weeks.

Assessment pattern

Postgraduate Assessment :2-hour Written Examination = 60%, Coursework = 40%


Module coordinator:Dr V Popov
Module teaching staff:Dr V M Popov, Dr L A Scott-Hayward