We are excited to announce that in 2014 we will be offering twelve courses across the social sciences, including seven new one-week courses.
Ethnographic Methods and Practice (25-29 August 2014)
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. The focus will be on the application of this set of methods to understanding real world issues in context, and connections between traditional forms of ethnographic enquiry and emergent visual, digital, and material methods will be emphasised.
Factor Models in Time Series with Applications in Macroeconomics and Finance (18-22 August 2014)
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 (18-29 August 2014)
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.
Multiple Correspondence Analysis for the Social Sciences (18-22 August 2014)
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 (18-29 August 2014)
Qualitative research methods are widely used to provide rich and detailed understandings of people's experiences, interactions, societal discourses or institutional practices. This is an introductory course in qualitative research methods, preparing students to design, carry out, report, read and evaluate qualitative research projects.
Real Analysis (11-29 August 2014)
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, convexity and integration and will show the connections to economic theory. Note: the first week of this course (11-15 August) will be delivered online.
Research Methods for the Online World 18-22 August 2014
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 (18-29 August 2014)
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.
Survey Methods (18-29 August 2014)
The social survey is a core methodology in the social sciences, allowing researchers to track social values, behaviour, attitudes, and norms between groups and over time. This course covers all aspects of survey research methods, covering modes of interview, questionnaire design, sampling methods, and analysis of survey results.
The Millennium Cohort Study: Analysing young children’s development from birth to age 11 (25-29 August 2014)
The Millennium Cohort Study is an exceptionally rich, representative, multi-disciplinary, longitudinal resource for studying child well-being throughout early childhood. This course will introduce participants to the study and the skills needed to analyse it.
Tools for Macroeconomists: The Essentials (18-22 August 2014)
A hands-on graduate-level course teaching key techniques to solve, analyse, and estimate macroeconomic models.
Tools for Macroeconomists: Advanced Tools (25-29 August 2014)
A graduate-level course teaching state-of-the-art techniques to solve and analyse advanced macroeconomic models.
Applications for the programme are now open. Click here to apply now.
All courses are taught by current LSE faculty representing six departments from across the School.
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 programme. 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.