MPhil/PhD Business & Management

Course Structure

Initial Registration

If you choose our four year (FT) / seven year (PT) MPhil/PhD Business & Management programme, you will initially be registered for an MPhil. This is a compulsory taught part of the PhD programme, and you will be required to pass compulsory taught modules in your first year.

Following the taught modules, you will be required to submit a satisfactory research proposal and attend and pass an upgrade panel in order to be upgraded to the degree of PhD.

Your thesis

You will start working on your research topic from the very outset, but once you have upgraded your registration, this will become your main focus, leading to the completion of your thesis. The criterion for the award is that the thesis makes a significant contribution to knowledge.



As part of your PhD programme, you will study three compulsory modules in Term 1, before choosing two methods modules and two elective modules in Term 2.

Compulsory modules - Term 1:

  • Introduction to Quantitative Research Methods
  • Introduction to Qualitative Research Methods
  • Developing Management Research.

Methods modules - Term 2:

  • Applied Multiple Regression Analysis
  • Multivariate Statistics
  • Collecting and Analysing Data
  • Theorising and Publishing Qualitative Research.

Elective modules - Term 2:

  • Business in the Digital Age 
  • Recent Advances in Operational Research and Operations Management
  • Organisation and Strategy
  • Behavioural Research in Decision Making and Entrepreneurship. 

Students in the Accounting group may opt to take an MSc Accounting module in place of one of these electives. This module will take place in Term 1.

Business & Management modules

Introduction to Quantitative Research Methods

Quantitative research methods involve applying statistical techniques to a data-set in order to describe, explain and test theories about the phenomenon being researched. The aim of the module is therefore to provide students with a thorough grounding in the main statistical techniques used in quantitative research. Key aspects of descriptive and inferential statistics will be covered, ranging from tabular and graphical methods used to summarise the characteristics of the data through to regression analysis to explain and test theories about the relationships between variables in the data-set. The module will also cover the key aspects of probability and sampling theory required to make the leap from descriptive to inferential statistics.

Introduction to Qualitative Research Methods

This module will provide you with an introduction to qualitative research. It makes links between practical, theoretical and philosophical ideas, as they are relevant for doing qualitative research. The practical choices we make as researchers always have theoretical and philosophical implications, and the more you are able to appreciate these, the better researcher you will become. The module will address key issues, debates and controversies relevant for the way we design, conduct and evaluate qualitative studies. We will 'try-out' qualitative methods - such as interviews, video analysis and observational work - and this tends to be fun.

Developing Management Research

The module comprises of eight teaching sessions relating to aspects of developing research projects in the field of management (broadly defined) and four sessions of student presentations where students are required to present a summary of their own research. Sessions will be delivered and facilitated by appropriate faculty members and students will be invited to reflect upon various aspects of theory and research on the basis of assigned pre-readings. Sessions will draw on faculty own research to illustrate theories, formulate research questions and do management research.

Applied Multiple Regression Analysis

This module aims to provide doctoral students with an understanding of, and skills in applying a range of multivariate regression analytic tools to address empirical research questions

The course focuses on multiple regression techniques useful to analyse observational and experimental data, including the measurement of policy (or organisation) changes. Application of the methods to answer empirical research questions will be carried out with specialised software (STATA).

Multivariate Statistics

Multivariate Statistical techniques are important tools of analysis in all fields of management: Finance, Production, Accounting, Marketing, and Personnel Management. In addition, they play key roles in the fundamental disciplines of the social sciences: Economics, Psychology, Sociology, etc. This module is designed to provide students with a working knowledge of the basic concepts underlying the most important multivariate techniques, with an overview of actual applications in various fields, and with experience in actually using such techniques on real problems. The module will address both the underlying mathematics and problems of applications. This module aims to provide doctoral students with an understanding of, and skills in applying, a range of multivariate statistical tools.

Collecting and Analysing Data

The module will position you as qualitative researchers so that the learning will be directly relevant to your future research. This means that the responsibility to carry out the required activity and to solve the inevitable issues that will likely arise sit firmly with you. This will allow you to decide whether this approach - and possibly this career, is right for you. The module aims to address the practical, analytic and intellectual questions related to the collection of qualitative data. It will do so by providing you with hands-on experience on the use of some of the most common ways to conduct qualitative research.

Theorising and Publishing Qualitative Research

The module addresses the next steps, following 'collecting and analysing' qualitative; namely 'theorising' and then 'publishing' qualitative research.

  1. Students will be tasked with 'theorising' and 'writing up' data collected in the previous module or collected for your PhD.
  2. The module positions students as qualitative researchers, and will be directly relevant for their PhD studies as they critically analyse and reflect upon processes of theorising and publishing qualitative research.
Business in the Digital Age

The objective of the module is to familiarise the student with recent developments in research at the intersection between digital technology and business topics such as digital innovation, technology management, strategy, and data science. The module is intended to generate understanding of the theoretical, empirical, and methodological foundations of business research related to digital technology across different levels of analysis.

Recent Advances in Operational Research and Operations Management

The objective of this module is to make students aware of recent developments in Operational Research and Operations Management, and thoroughly engage them with a seminal paper related to their PhD research by asking them to critically reflect on the paper and present and communicate its content in a way accessible to other PhD students.

Organisation and Strategy

The objective of this module is to familiarise students with the principles of organisation theory, theories of work and main frameworks of strategy.

Behavioural Research in Decision Making and Entrepreneurship

The objective of this new module is to introduce current debates in decision theory about the role of rationality in decisions and whether heuristics help or hinder decision-making. The module will also provide students with a grounding in the field of entrepreneurship, examining topics such cognition, opportunity recognition, biology and economics.

Module details More Less

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