Aims and Fit of Module

The aim of this module is to provide IMBA students with a deep knowledge and understanding of how to apply advanced mathematical and statistical techniques and tools to the decision-making process of an organization.
This module explores the different methods used to collect and analyse quantitative data from a business perspective.
The goal is therefore to enable students to understand how effective and appropriate quantitative data analysis can enhance the quality of managerial decision-making. 

Learning outcomes

A	Demonstrate a systematic understanding and knowledge of, and a critical awareness of current issues in, professional practice related to quantitative methods in management.
B	Demonstrate originality in the application of knowledge, together with a practical understanding of established applied techniques of research and data analysis as used to interpret practice in the area.
C	Demonstrate a conceptual understanding of how to evaluate methodologies and develop critiques of them and, where appropriate, propose new practices.

Method of teaching and learning

The learning and teaching takes a case-based and peer-assisted learning approach. Students are expected to familiarise themselves with the basic theory and to read and review the case studies prior to the weekend face to face sessions. To promote understanding of the key theories and of the key issues in the case studies, e-learning support is provided prior to each face-to-face session. E-learning support will also be provided prior to assignment submission to resolve queries about the application of theory. Students are encouraged to read widely with reference to the reading lists provided.