Courses are offered hybrid, online, or in person. The delivery mode for each course is listed below.
- Hybrid: Includes live sessions where on-campus and online students learn together.
- Online: Fully online with no in-person option.
- In Person: Taught at the Colchester campus with no online option.
Students must choose their mode by which they will study at the time of application. Courses take place in the morning or afternoon, British Summer Time (BST).
The schedule for each session is described in the menu on the left.
For enquiries, please contact us at essexsummerschoolssda@essex.ac.uk
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Data Skills Courses at ESS
This year, the Essex Summer School in Social Science Data Analysis is introducing Data Skills courses, featuring training in basic and intermediate data analysis for professionals, running from April to June 2025. This hybrid-format training (available online or in person) consists of three course clusters, each containing three two-day modules. Data skills courses are described on the Data Skills courses page. These applications are open until 5 March 2025.
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Summer Courses for 2025
Note, for all participants enrolling in at least one course, we offer supplementary Maths courses in every session which run every morning, online 8.15-9.45 BST. They are at a cost of £10 and include all days, in all sessions. Please indicate on the application form whether you would like these included.
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PRE-SESSIONAL: Monday 30 June – Friday 4 July 2025
0A Introduction to R Programming for the Social Sciences (Online, one week course) – AM
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SESSION ONE: Monday 7 July – Friday 18 July 2025
1A Mathematics for Social Scientists (Online) – 8:15 – 9:45 BST
Morning – 10:00 – 13:30 BST
1B Introduction to Quantitative Text Analysis (Online)
1D Mixed Methods (In person only)
1F Designing and Analysing Surveys (Hybrid)
1G Longitudinal and Panel Data Analysis (Hybrid)
1H Qualitative Data Analysis: Methodologies for Analysing Text and Talk (In person only)
1J Categorical Data Analysis (Hybrid)
1K Quantitative Text Analysis (Hybrid)
1M Introduction to Quantitative Methods in R (Hybrid)
1N Methods for Field Work in Social Science (Online)
1Q Doing Discourse Analysis: Populism, Neoliberalism and Radical Democratic Politics (Online)
Afternoon – 14:15 – 17:45 BST
1C Web Scraping and Data Management for Social Scientists (Hybrid)
1E Applied Social Statistics using Stata (Hybrid)
1P Agent Based Models (Hybrid, 17.5 hours, week one only 7-11 July)
1R Data Visualization with R: Explore, Model and Communicate Social Data Analysis (Hybrid)
1T Introduction to Programming and Simulation Methods for Computational Social Science (Hybrid)
Full day – 10:00 – 17:45 BST
1I Qualitative Interviewing (In person only, 35 hours, one week , week two only 14-18 July)
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SESSION TWO: Monday 21 July – Friday 1 August 2025
2A Mathematics for Social Scientists (Online) – 8:15 – 9:45 BST
Morning – 10:00 – 13:30 BST
2B Quantitative Data Analysis and Statistical Graphics with R (In person only)
2D Introduction to Programming in Python for Social Scientists (Hybrid)
2F Quantitative Text Analysis (Online)
2I Applying Discourse Theory – Politics, Ideology, Populism (In person only)
2J Machine Learning for Social Scientists (Hybrid)
2L Spatial Econometrics (Hybrid)
2N Geospatial Data and Spatial Analysis (Hybrid, 17.5 hours, one week, week one only 21 – 25 July)
2P AI-Enhanced Research Design (Hybrid, 17.5 hours, one week, week two only 28 July – 1 August)
2R Analysing Multimodal Language Data for Quantitative Social Science (Hybrid) Offered in partnership with IADS
Afternoon – 14:15 – 17:45 BST
2G Longitudinal Data Analysis (Online)
2C Applied Discourse Analysis Methods for Social Sciences: from theory to practice (In person only)
2H Introduction to Social Network Analysis (Online)
2K Causal Inference and Experiments in the Social Sciences (Hybrid)
2M Machine Learning For Estimating Treatment Effects From Observational Data (Hybrid) Offered in partnership with IADS
2S Scaling, Ideal Point Estimation, and IRT Methods for Surveys and Behaviour (Hybrid)
2T Bayesian Analysis for the Social and Behavioural Sciences (Hybrid)
2W Advanced Methods for Time Series and Panel Data (Hybrid)
Full day – 10:00 – 17:45 BST
2Q Ethnography and Ethnographic Methods (In person only, 35 hours, one week, week one only 21 – 25 July)
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SESSION THREE: Monday 4 August – Friday 15 August 2025
Online study: These courses will be taught online only. In person study is not available for these courses.
3A Mathematics for Social Scientists (Online) – 8:15 – 9:45 BST
Morning – 10:00 – 13:30 BST
3E Introduction to Regression (Online)
3J Multilevel Models: Practical Applications (Online)
3B Generative AI for Social Science Research (Online)
Afternoon – 14:15 – 17:45 BST
3G Quantitative Methods for Causal Inference and Policy Evaluation (Online)
3C Survey Experimental Design (Online)
Full day – 10:00 – 17:45 BST
3N Deep Learning For Text and Vision (Online, 35 hours, one week, week one only)
