How to contact us

Teri Dunn
Programme Coordinator

Methods Summer Programme
London School of Economics
Houghton Street
London WC2A 2AE

Tel: +44 (0)20 7955 6422

Register your interest here


All courses

We offer courses across three areas of social science research methods:

Click above on your area of interest. Alternatively, a full list of courses can be found below.

Ethnographic Methods and Practice (2016 Dates to be Confirmed)
During this intensive one-week course, students will learn how to design and conduct ethnographic fieldwork, integrate ethnography into mixed-methods designs and analyse ethnographic data. 

Factor Models in Time Series with Applications in Macroeconomics and Finance (2016 Dates to be Confirmed)
A graduate level course about “big data” analysis. It introduces methods and techniques for extracting meaningful and useful information from large panels of time series.

Intermediate Econometrics (2016 Dates to be Confirmed)
The typical introductory econometrics course is mostly confined to the Classical Linear Regression Model. This is a second course in econometrics: econometrics beyond the Classical Linear Regression Model.

Introduction to Data Science and Big Data Analytics (2016 Dates to be Confirmed)
This course covers the fundamentals of data science, focusing on predictive analytics and extracting patterns from big data. Topics include statistical methods, data structures and data manipulation. Technologies used include R, SQL, and Python.

Latent Variable Modelling and Structural Equation Modelling for Social Sciences Research (2016 Dates to be Confirmed)
A course on latent variables and structural equation models for continuous and categorical observed variables for cross-sectional and longitudinal data, and their applications to social sciences.

Multiple Correspondence Analysis for the Social Sciences 
(2016 Dates to be Confirmed)

This course offers a systematic introduction to the principles of multiple correspondence analysis, a method which allows the observation of patterning of complex data sets. It also offers practical instruction in using SPAD software so that students will be able to use MCA in their own work.

Qualitative Research Methods (2016 Dates to be Confirmed)
This is an introductory course in qualitative research methods, preparing students to design, carry out, report, read and evaluate qualitative research projects.

Real Analysis (2016 Dates to be Confirmed)
A considerable part of economic theory is difficult to follow without a strong background in real analysis. This course will introduce students to concepts of modern analysis such as continuity, metric spaces, compactness and convexity, and will show the connections to economic theory. Note: the first week of this course (10-14 August) will be delivered online.

Research Methods for the Online World (2016 Dates to be Confirmed)
This course explores the opportunities and challenges of online data collection and analysis, from online surveys and web experiments to social data and opinion mining, social networks and other digital methods.

Statistical Methods for Social Research using SPSS (2016 Dates to be Confirmed)
Data-driven research requires knowledge of the appropriateness of different statistical techniques and the means to perform empirical calculations. This course equips researchers with these tools using the popular SPSS package.

Tools for Macroeconomists: The Essentials (2016 Dates to be Confirmed)
A hands-on graduate-level course teaching key techniques to solve, analyse, and estimate macroeconomic models. Course full (operating a waiting list)

Tools for Macroeconomists: Advanced Tools (2016 Dates to be Confirmed)
A graduate-level course teaching state-of-the-art techniques to solve and analyse advanced macroeconomic models.  

All courses are taught by current LSE faculty representing six departments from across the School. 

The following course will next be taking place in 2016:

Survey Methods (Summer 2016)
This course covers all aspects of survey research methods, covering modes of interview, questionnaire design, sampling methods, and analysis of survey results. 

Department of Economics
LSE’s Department of Economics is one of the largest in the world. It has an outstanding international reputation based on its research and publications and is acknowledged as the leading faculty in Europe. The department is consistently ranked in the top 20 economics departments worldwide, and has produced a number of Nobel laureates, including Professor Chris Pissarides, the joint winner of the 2010 Nobel Prize in Economics.

Department of Mathematics
The LSE Mathematics Department is internationally recognised for its teaching and research. Located within a world-class social science institution, the department aims to be a leading centre for mathematics in the social sciences.

Department of Methodology
The Department of Methodology was set up at LSE to coordinate and provide a focus for methodological activities at the School, in particular in the areas of research student training and of methodological research. The department is heavily involved in the School-wide Master's programme in Social Research Methods, and provides courses for research students from all parts of the School, with the aim of making LSE the pre-eminent centre for methodological training in the social sciences.

Department of Social Policy
The Department of Social Policy is the longest established in the UK and has received the highest possible rating in all Research Assessment Exercises carried out in the UK. In the last RAE in 2008 it led the field nationally with 50 per cent of its research recognised as world-leading, and 100 per cent ranked at international level. 

Department of Sociology
The Department of Sociology at LSE was the first to be established in Britain and has played a key role in establishing and developing the discipline - nationally and internationally - since 1904.

Department of Statistics
The Department of Statistics at LSE has an international reputation for development of statistical methodology that has grown from its long history of active contributions to research and teaching in statistics for the social sciences.

All courses are full time, and will generally involve 3 hours of lectures and 1.5 hours of classes per day, though teaching format varies from course to course. Classes provide an opportunity for group discussions, a chance to work through problem sets and training in relevant software packages. Any software required will be available for use on the LSE network.

Assessment for most courses will be in the form of a 2-hour written examination on the last day of the course. Some courses may also involve some coursework during the programme. Whilst the examination is not compulsory, it is encouraged. Students who do not sit the examination will be entitled to an attendance certificate provided they have attended 75% of all classes. 

Certificates and Transcripts
On completion of the programme, a certificate and transcript will be provided. Students who complete all graded assessment (including the final exam) will receive an overall final grade which is shown on the certificate and transcript.
In the case of partial or non-completion of the graded assessment, an attendance certificate will be provided, though 75% of all classes must have been attended.