Apply using the Applicant Portal
The Apply Now button on the right will take you to the Applicant Portal, where you can create and submit your application and supporting documents, and request references.
An application is only complete when:
- you have submitted your application and supporting documents via the Applicant Portal
- you have paid the £50 application fee
- your referees have provided their references.
If you miss the deadlines specified in this section, you will not be able to submit your application.
Applications are considered as they are received and some early offers are made; however, the majority of decisions are made in February and March after the application deadline. Borderline applications are held until all applications have been assessed. These held applications are assessed as a gathered field in April. Applicants will be notified if their application is in this category.
Please note: the Faculty will not provide feedback to individuals on the quality and content of their application to graduate programmes within the Faculty of Economics.
Further information on How To Apply
Things You'll Need
In order to apply for this course you'll need to think about getting a few things ready before you apply.
- Two academic references
- Evidence of competence in English
If required - you can check using our tool
- Details of previous study
Please upload details of the microeconomics, macroeconomics, econometrics and mathematical courses you have taken/will be taking in your current and previous degrees.* This should be one concise document listing the topics covered in each of these subjects with the main textbooks used (maximum 10 pages). If you are currently studying for a degree please also list the subjects you will be taking in your final year.
- Reasons for applying (5000 characters)
Applicants whose previous university training has been in countries outside the UK must submit the results of a recent GRE test. Please contact the Faculty of Economics if more information is required. GMAT tests are not accepted.
Gates Cambridge Scholarships
If you wish to be considered for a Gates Cambridge Scholarship you will also need to provide the following:
- Gates Cambridge Reference
- Research Proposal (PhD applicants only)
See Gates Cambridge for more information.
E100 : Principles of Microeconomics I
This course will cover the standard economic models of individual decision-making with and without uncertainty, models of consumer behaviour and producer behaviour under perfect competition and the Arrow-Debreu general equilibrium model.
R101 : Microeconomics II
This course aims to familiarise students with the basic tools of (mainly non-co-operative) game theory and to enable them to apply game-theoretic-skills to simple economic problems all by themselves. The course will be concerned with both static and dynamic games.
R200 : Principles of Macroeconomics II
This course covers the methodological foundations of modern macroeconomics. The emphasis is put on a rigorous and mathematical treatment of macroeconomic issues, covering concepts such as optimization, recursivity, and competitive equilibria.
R201 : Macroeconomics II
This course uses the ideas introduced in Prinicples of Macroeconomics II in order to analyse macroeconomic problems. The course provides a modern treatment of canonical macroeconomic models.
R300 : Econometrics I
This module serves as an introduction to fundamental econometric techniques at the graduate level. We will broadly cover maximum likelihood, linear and nonlinear regression, generalized method of moments, instrumental variables, linear time series processes, and linear models for panel data.
R301 : Econometrics II
The time series part of the course will show how economic and financial time series can be modelled and analysed. Topics covered include ARMA models, state space models, trends and cycles, multivariate models and co-integration, nonlinear models and changing volatility.
The cross-section and panel data part of the course will cover a broad range of topics in microeconometrics. Topics covered will be taken from random utility models in discrete choice, heterogeneity and endogeneity in binary choice models, program evaluation and treatment eﬀects, ﬁxed and random eﬀects estimators for panel data, nonlinear and dynamic panel data models, machine learning, count data models, and an introduction to simulation methods (classical and Bayesian).