Introduction To Quantitative Data Analysis

SHE level 1
SCQF credit points 20.0
ECTS credit points 10.0
Module code M1L127157
Module Leader Athanasios Tsekeris
School Glasgow School for Business and Society
Subject Finance and Accounting
Trimester A (September start)

Summary of content

This module will provide students with an introduction to the concepts, methods and techniques used in quantitative analysis and necessary for financial decision-making and problem solving. It will equip them with a variety of technical and analytical skills that can underpin their programme of studies and future careers. The module also aims to improve students' numeracy skills by building up their confidence in the use of mathematical techniques.

The use of quantitative tools is taught within the context of the financial decision-making processes of firms in various industry segments and using available technologies such as mobile phone apps, calculators, spreadsheets (MS Excel), and statistical software (SPSS). The emphasis will be on financial problem solving applied to individuals, business, and the public sector, nationally and globally, and set in a range of contexts including personal finance, new business and social enterprise development.

Summary of how PRME-related issues / topics are covered in this module:

Purpose: this module will develop the students' capabilities to better understand, through statistics and data analysis, current issues in business and society at large, and to start thinking about the complexity of planning and implementing sustainable and lasting solutions.
Values: the critical understanding of data sources, methods of analysis, and description of findings will help students to discern potential issues with reported statistics and thus promote the ethical use of quantitative information
Method: through the use of databases and reported statistics the students will be exposed to the importance of the analysis and presentation of information to support decision-making
Research: this module introduces students to fundamental quantitative techniques used in research and applied through learning experiences that deal with the social, environmental and economic impact of financial decision-making

Module details

Module structure

Activity Total hours
Lectures 24.00
Tutorials 24.00
Independent Learning 122.00
Assessment 30.00

Assessment methods

Component Duration Weighting Threshold Description
Course Work001 60 35 4 Class tests (related to tasks) to be taken during Lab sessions ( weeks 3, 5, 7, 9)
Course Work002 40 35 MCQ class test in Week 12 on concepts and ideas