The following is the current list of confirmed courses for the 54th Essex Summer School in Social Science Data Analysis.
This list will be updated before applications are opened in January 2021.
For enquiries, please contact us at
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SESSION ONE: Sunday 11 July to Friday 23 July 2021

One-day course: Sunday 11th July
1X Introduction to R (6 hours) (offered online)

Two-week courses (35 hours): 12 – 23 July
1A Mathematics 1 (15 hours) (offered online)
1B Introduction to Quantitative Text Analysis
1C Introduction to Regression (offered online only)
1D Introduction to Social Network Analysis
1E Introduction to Multilevel Models
1F Introduction to Statistics for Survey Data Analysis
1H Qualitative Data Analysis: Methodologies for Analysing Text and Talk
1I Qualitative Interviewing 
1J Beyond OLS: Categorical, Choice and Count Models (offered online only)
1K Introduction to Programming in Python for Social Scientists (offered online only)
1L Web Scraping and Data Management for Social Scientists (offered online only)
1M Data Analysis and Programming in Stata (offered online only)
1N Methods for Fieldwork in Social Science
1Q Doing Discourse Analysis: Populism, Neoliberalism and Radical Democratic Politics (offered online only)

One-week course, week 1 of session 1: 12 July – 16 July

1P Introduction to GIS, Geospatial Data and Spatial Analysis (17.5 hours) (offered online only)

One-week courses (week 2 of session 1): 19 July – 23 July

1S Quantitative Methods for Surveying Hard to Reach Populations (17.5 hours) (offered online only)

SESSION TWO: Sunday 25th July to Friday 6 August

One-day course, Sunday 25th

2X Introduction to R (6 hours) (offered online)

Two-week courses (35 hours)  
2A Mathematics part 2 (15 hours) (offered online)
2B Quantitative Data Analysis and Statistical Graphics with R
2C Advanced Survey Data Analysis and Survey Experiments
2D Case Study Methods
2E Multilevel Models: Practical Applications
2F Advanced Methods for Social Media & Textual Data
2G Panel Data Analysis for Comparative Research
2H Mixed Methods Research
2I Applying Discourse Theory – Politics, Ideology, Populism
2J Machine Learning for Social Scientists
2K Causal Inference and Experiments in the Social Sciences
2L Introduction to Quantitative Methods in R
2M Introduction to Applied Bayesian Statistics
2N Confirmatory Factor Analysis & Structural Equation Modelling
2P Advanced Methods for Text-as-Data: Natural Language Processing (offered online only)
2S Introduction to Statistics for Social Science Research with SPSS (offered online only)

One-week courses (week 1 of session 2)
Ethnography and Ethnographic Methods (35 hours)
2R Advanced Social Network Analysis – Cross-sectional and Longitudinal Social Network Analysis (17.5 hours)

One-week courses (week 2 of session 2)
Survival Analysis and Event History Modelling (17.5 hours) (offered online only)

SESSION THREE: Sunday 8 August to Friday 20 August

One-day course Sunday 8 August

3X Introduction to R (6 hours) (offered online)

Two-week courses (35 hours)
3A Mathematics part 3 (15 hours) (offered online)
3B Quantitative Text Analysis
3D Computational methods for Social Data Science: Exploring Society through Visualization and Modelling
Maximum Likelihood Estimation
Bayesian Analysis for the Social and Behavioural Sciences
3G Quantitative Methods for Causal Inference and Policy Evaluation
Spatial Econometrics
3J Advanced Quantitative Methods (offered online only)
3K Time Series and Panel Models for Dynamic and Heterogeneous Processes
Scaling Methods and Ideal point estimation

One-week course (week 1 of session 3): 9 – 13 August
Agent Based Models (17.5 hours)