Skip to main content Skip to navigation

Module Catalogue

IB9MD-15 Quantitative Methods II

Department
Warwick Business School
Level
Taught Postgraduate Level
Module leader
Liza Konovalova
Credit value
15
Module duration
10 weeks
Assessment
100% coursework
Study location
University of Warwick main campus, Coventry

Download as PDF

Introductory description

This module aims to provide doctoral students with a grounding in the set of advanced quantitative analysis methods that are increasingly necessary for conducting and publishing world-leading business and management science.

Module aims

i) Understand the core suite of advanced quantitative analytics that are necessary to conduct world leading research in business and management.
ii) Develop the ability to select the appropriate analytics to answer a given research question.
iii) Prepare students for further more specialized study of quantitative analytics.

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

Regression Modelling
OLS estimation
Classical assumptions and their failure
GLM
Interaction terms and interpretation
Basics of a multi-level regression
Clustering
Instrumental Variables
Intro to Bayesian Regression
OLS vs MLE

Learning outcomes

By the end of the module, students should be able to:

  • Understand the link between research questions, scientific hypotheses, and data analysis.
  • Design an analytic strategy to robustly test their hypotheses.
  • Implement their analysis using appropriate software and evaluate the results.

Indicative reading list

Reading lists can be found in Talis

Subject specific skills

Understand the link between research questions, scientific hypotheses, and data analysis.
Design an analytic strategy to robustly test their hypotheses.
Implement their analysis using appropriate software and evaluate the results.

Transferable skills

Problem solving abilities.
Communication skills.
Analytical skills.
Confidence as user of statistical software.

Study time

Type Required
Lectures 10 sessions of 3 hours (20%)
Private study 48 hours (32%)
Assessment 72 hours (48%)
Total 150 hours

Private study description

Self study and reflective learning.

Costs

No further costs have been identified for this module.

You must pass all assessment components to pass the module.

Assessment group A1
Weighting Study time Eligible for self-certification
Assessment component
Individual essay 100% 72 hours Yes (extension)
Reassessment component is the same
Feedback on assessment

Module leader feedback.

Pre-requisites

To take this module, you must have passed:

Courses

This module is Core optional for:

  • Year 1 of TIBS-N1QY Postgraduate Taught Business and Management (Master of Research)