You take five taught courses during your MRes (and at least three further courses during the first year of your PhD). Which courses you take depends on your prior training and the requirements of your chosen PhD pathway. An initial set of modules will be chosen by the MRes/PhD Programme Director in consultation with your supervisor prior to the start of the academic year. You can apply for changes to the chosen portfolio of courses during the first week of Michaelmas Term, though the final decision on your individual course portfolio lies with the MRes/PhD Director.
The research coursework is complemented by practical research training overseen by a faculty supervisor. Informal opportunities to develop research skills also exist through mentoring by fellow research students and other faculty members. You are integrated into the research culture of your subject group and expected to attend their and other research seminars.
Here are some of the courses that may be relevant to your MRes. Please note, some courses are only offered every other year. In addition, you may be able to take some courses not listed here, run by other departments within the University of Cambridge.
This is the first in the sequence of Econometrics modules designed for Research MPhil students who intend to use econometric methods in their PhD research at Cambridge Judge Business School. It is taught in Michaelmas Term.
This introductory module develops your capability in using linear regression and associated statistical techniques to examine causal relationships from primarily cross-sectional, observational data. By the end of the module you are to specify, estimate, test, interpret, and critically evaluate single equation regression models, with applications in subject areas of management, finance, and business economics.
The module is followed in Lent Term by Econometrics II, training you in methods and applications of Micro-econometrics. A further module on Time Series Econometrics is offered as an elective in Easter Term.
To carry out empirical research that has the potential to make an original contribution to knowledge in management, finance, business economics and similar fields, it is necessary to exploit the richness and structure of longitudinal as well as cross-sectional, individual-level data on the behaviour of individuals or firms. It is necessary to become competent in an array of micro-econometric techniques that help researchers to build into the design of their studies, a variety of complexities (in decision-making, for example) and also compensate for partial observability that is inherent in research data.
This module introduces you to research-level micro-econometric methods. It provides the background required to confidently choose techniques and methods suited to different types of data-sources and models. The focus is on how techniques relate to theory, on the insights that can be drawn from their application, and critical interpretation and appraisal of results.
You must have taken the Econometrics I course to take this course. A further module on Time Series Econometrics is offered as an elective in Easter Term.
This introductory course enables those of you without prior knowledge of quantitative methods to become conversant in the language of statistics and be able to assess and critique statistical analyses in management research papers (students who have undertaken such training during their first degree will have to take Econometrics I instead). The course is purely conceptual. While the focus of the course is on statistical intuition, you are introduced to the mathematical notation that is required to understand the methods sections in quantitative research papers.
The course covers the following concepts:
Social science theory and methods
Population models of data generating processes and the estimation problem
The sampling distribution of a statistic and the central limit theorem
Prediction versus causal explanation
Hypothesis testing and effect size estimation
Omitted variables and the purpose of control variables
Reverse causality and simultaneity
Making causal inference in the presence of endogeneity: instrumental variables
Transformation of variables
Interactions of variables
Categorical dependent variables
Longitudinal data analysis
This course helps you understand a variety of predominantly quantitative research methods, as well as their embeddedness within various research designs. The course is divided into two independent content blocks, parts I and II, and is designed in such a way that part II can be attended without having attended part I previously. Upon completion you’ll have a good understanding of various research methods commonly used in management research, and will have applied this knowledge to your own research project.
Specifically, the course covers the following content areas, among others:
Experimental & quasi-experimental design
Survey design & analysis
Mediation & moderation
Multilevel design & analysis
Social network design & analysis
Big data research design & analysis
The course increases your understanding of organisational research methods and your sensitivity to the practical problems in conducting organisational research, and enables you to apply organisational research methods to your own research projects and interests.
This course focuses on three elements of qualitative research methodology:
Research philosophy, in which you are introduced to some basic philosophical concepts and tools – particularly in the area of epistemology
Qualitative research methods, where we look at the principal types of qualitative data used in management research and the practical and epistemological issues associated with their collection, analysis and use
Research design, in which you will come to understand the links between theory, methodology and choice of research techniques; the principles and practice of research design and data access and collection using experiment, observation, interviews, surveys and archival and database retrieval; and issues of research validity, reliability, bias and ethics
You are introduced to the foundations necessary to conduct research in the three areas of marketing, operations & technology management, and finance, with a view to developing your own skills as researchers in these areas and in business in general. This course covers standard models of:
individual choice under certainty and uncertainty
monopoly pricing, price discrimination
The course gives you some fundamental knowledge of competitive markets, enabling you to leverage your course knowledge to do original research and write papers in your chosen field of research in a business school.
This seminar-based module is an overview of quantitative modelling approaches to research on marketing problems. Three major areas are covered:
In each session you’re required to read, analyse and comment on selected papers surrounding the key themes of that session. At least half of every session will be devoted to student presentations and group discussion. Having completed the module, you’ll possess some basic knowledge of quantitative modelling in marketing. You’ll also be able to leverage your course experience to develop an in-depth understanding of relevant topics for a research career at a business school.
This course is for students who wish to pursue a research career in a business school and consists of a mix of lectures and seminar-based sessions in which you read, analyse and comment on selected papers. Following the course, you’ll be able to leverage your course knowledge to do original research and write papers in your chosen field of research.
Topics covered include:
Static games of complete information (normal form games)
Modelling strategic interactions
Iterated dominance and rationalisability
Application: imperfect competition
Dynamic games of complete information (extensive form games)
Extensive form and Nash equilibrium
Subgame perfect equilibrium
Application: product differentiation
Repeated games and one-step deviation
Static games of incomplete information
Bayesian Nash equilibrium
Dynamic games of incomplete information
Perfect Bayesian equilibrium
These modules introduce you to current academic debates in specific disciplines:
This course consists of two equally weighted parts. In the first part, you are introduced to mathematical modelling paradigms. Mathematical modelling is a core “language” of the field and many of its insights are captured succinctly in mathematical formulae or propositions. It is therefore important for you to become conversant.
The goals of the first part of the Introduction module are (i) to enable you to appreciate the gist, if not the detail, of modelling papers in the operations and technology management (OTM literature and (ii) to introduce you to the mathematical modelling language at a level that enables you to learn more details from textbooks or take more advanced graduate courses in the university if and when required for your own research. This first part of the module is a natural methodological complement to the econometrics modules of the MPhil programme, which cover empirical methods.
The second part of this module teaches you how to write a convincing OTM research proposal with the goal of developing an academic paper for publication in a peer-reviewed journal of the field. What makes a good research question? What is a suitable research method for the question at hand? How does the proposed research relate to management practice? How does it relate to and extend the existing academic literature? You explore these questions using published papers as case studies, and you practice the writing and presenting of research proposals, which will prepare you for the PhD continuation process. This second part of the module also teaches you how to read and evaluate academic papers in an efficient manner and what distinguishes OTM papers from papers in cognate disciplines (eg economics or marketing).
The Classics module introduces you to landmark papers and books that have shaped the operations and technology management (OTM) field. The purpose of the module is to enable you to position your own research within the existing body of literature. We take a broad view of the OTM field and also cover aspects of cognate fields (industrial engineering, economics, sociology, psychology) that are relevant to current debates in OTM.
This course provides a foundational survey of the key theories and empirical works that shape research on the content of strategic management – the relationship between the different strategies and resource and capability bundles firms develop, strategic positions they create, and their financial performance and competitive advantage. Building on strategic management, economics-based, and organisational theories, this course covers substantive research on the antecedents and consequences of competitive and corporate strategies undertaken by firms in connection with the changes and disruptions in the environment. The course involves active student participation in group discussions and critiques of the seminal classic contributions as well as latest research in various topics on the content of strategic management. It also involves you developing your own research ideas and proposals that build on some of the topics and theories covered.
This course is a survey of three distinct yet related areas: marketing, innovation and emerging economies. Marketing is the study of the interaction between organisations and markets. Innovation is the study of the commercial exploitation by organisations of new ideas. Emerging economies, such as India and China, are the big economic phenomenon of the contemporary global scene and the theatre in which new opportunities for marketing and innovation are unfolding in real time. This course takes a strategic perspective on these topics, viewing them all from the perspective of the firm and its performance.
This course focuses on some key theories and central debates that help us conceptualise the relationship between information systems, innovation, and strategic change. The main texts will draw from information systems, sociology, sociology of technology, and organisation theory. The course examines three key themes:
The role of new information technologies in processes of innovation and strategic change within and between industries
The role of information systems in enabling innovative work practices and the organisational issues involved in implementing and using technological innovations
The relationship between information technology and processes of globalisation
This course focuses on the foundational theories, central debates and key texts that help us conceptualise organisational dynamics. It provides you with advanced reading, writing and interpretation skills relating to, for example, organisational identity, organisational control and theories of entrepreneurship. It is based around intensive seminar-based sessions in which key articles are closely read and discussed. Having completed the course, you will be equipped to interpret and problematise scholarly material relating to the organisation of innovation in a creative and critical manner.
This two-part course in asset pricing, one of the building blocks of finance, covers models that determine security prices and the methodologies used to empirically test their predictions. The course mixes theoretical and empirical lectures, with fifteen sessions over two terms.
Asset Pricing I & II requires a strong prior background in microeconomics and statistics/econometrics.
This seminar-based module is an overview of issues related to consumer behaviour research in marketing. The module includes readings on marketing research as well as cognate home disciplines such as psychology and behavioural economics. Two major areas are covered:
The information processing perspective
The behavioural decision perspective
In each session you’re required to read, analyse and comment on selected papers surrounding the key themes of that session. At least half of every session will be devoted to student presentations and group discussion. Having completed the module, you’ll possess some basic knowledge that will help you appreciate and conduct consumer behaviour research. You’ll also be able to leverage your learning experience to develop an in-depth understanding of relevant topics for a research career at a business school.
Structured by topics, this course introduces you to theoretical and empirical research in corporate finance. Each topic examines the fundamentals of corporate finance theory (e.g. the theory of the firm’s choice of its capital structure and dividend policy under alternative assumptions), as well as various essential areas in corporate finance (e.g. the notion of moral hazard and agency problems, adverse selection and signaling). The course further covers the related empirical evidence with a focus on recent research in empirical corporate finance and a critical assessment of the research design in empirical studies.
The course requires some basic knowledge of fundamental concepts in corporate finance (at the level of Brealey, Myers and Allen’s Principles of Corporate Finance). We will recommend some summer reading as preparation to the course for those admitted to the MPhil.