2026 Essex Summer School Course List
Applications open in January 2026
2026 Programme Dates
Pre-sessional 1: Monday 29 June – Friday 3 July 2026
Session 1: Monday 6 July – Friday 17 July 2026
Pre-sessional 2: Monday 13 July – Friday 17 July 2026
Session 2: Monday 20 July – Friday 31 July 2026
Session 3: Monday 3 August – Friday 14 August 2026
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Confirmed courses are listed below. Courses are offered hybrid, online, or in person.
- 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.
The delivery mode for each course is listed below. 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). Recordings of class sessions will, in most cases, be provided to support participants’ learning during the course period. If a course does not offer recordings, this is clearly indicated in the course description.
For enquiries, please contact us at essexsummerschoolssda@essex.ac.uk. To stay informed about ESS updates, subscribe to our mailing list
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PRE-SESSIONAL 1: Monday 29 June – Friday 3 July 2026
0A Introduction to R Programming for the Social Sciences (17.5hrs, one week, Online) – 10:00 – 13:30
0B Introduction to Linear Algebra (12.5hrs, one week, Online) – 14:15 – 16:45
0C Introduction to Functions and Calculus (12.5hrs, one week, Online) – 14:15 – 16:45
0D Introduction to Python for Social Scientists (17.5hrs, one week, Online) – 10:00 – 13:30
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SESSION ONE: Monday 6 July – Friday 17 July 2026
Morning – 10:00 – 13:30
1B Introduction to Quantitative Methods in R (Hybrid)
1F Longitudinal and Panel Data Analysis (Hybrid)
1G Categorical Data Analysis (Hybrid)
1H Designing and Analysing Surveys (Hybrid)
1K Introduction to Quantitative Text Analysis (Online)
1L Quantitative Text Analysis (Hybrid)
1M Doing Discourse Analysis: Populism, Neoliberalism and Radical Democratic Politics (Online)
1N Qualitative Data Analysis: Methodologies for Analysing Text and Talk (In person)
1P Mixed Methods Research (Hybrid)
1Q Preparing for Fieldwork in the Social Sciences: Methods, Logistics, Ethics (Hybrid)
Afternoon – 14:15 – 17:45
1A Applied Research Design: From Idea to Proposal (Hybrid)
1C Introduction to Data Science and Programming in R (Hybrid)
1D Data Visualization with R: Explore, Model and Communicate Social Data Analysis (Hybrid)
1E Applied Social Statistics using Stata (Hybrid)
1I Applied Causal Inference with Observational Data (17.5hrs, one week, 13-17 July) (Hybrid)
1J Measurement: From Simple Classification to Model Estimation (Hybrid)
Full day – 10:00 – 17:45
1R Qualitative Interviewing (35hrs, One week, 6-10 July) (In person only)
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PRE-SESSIONAL 2: Monday 13 July – Friday 17 July 2026
00A Introduction to R Programming for the Social Sciences (17.5hrs, one week, Online) – 10:00 – 13:30
00B Introduction to Linear Algebra (12.5hrs, one week, Online) – 14:15 – 16:45
00C Introduction to Functions and Calculus (12.5hrs, one week, Online) – 14:15 – 16:45
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SESSION TWO: Monday 20 July – Friday 31 July 2026
Morning – 10:00 – 13:30
2A AI-Enhanced Research Design (17.5hrs, one week, 27-31 July) (Online)
2B Generative AI for Social Science Research (Hybrid)
2C Introduction to Programming in Python for Social Scientists (Hybrid)
2D Quantitative Data Analysis and Statistical Graphics with R (In person only)
2G Bayesian Analysis for the Social and Behavioural Sciences (Hybrid)
2L Geospatial Data and Spatial Analysis (17.5hrs, one week, 20-24 July) (Online)
2P Machine Learning For Estimating Treatment Effects From Observational Data (Hybrid)
2S Machine Learning for Social Scientists (Hybrid)
2T Applied Discourse Analysis for Social Sciences: From Theory to Practice (In person)
2U Applying Discourse Theory – Politics, Ideology, Populism (In person only)
Afternoon – 14:15 – 17:45
2E Introduction to Game Theory (Hybrid)
2F Agent-Based Models (17.5hr course, one week, 20-24 July) (Hybrid)
2H Web Scraping and Data Management for Social Scientists (Hybrid)
2I Longitudinal Data Analysis (Online)
2J Advanced Methods for Time Series and Panel Data (Hybrid)
2K Causal Inference and Experiments in the Social Sciences (Hybrid)
2M Ideal Point Estimation, Item Response Theory, and Scaling Methods for Surveys and Behaviour (Hybrid)
2N Spatial Econometrics (Hybrid)
2R Analysing Multimodal Language Data for Quantitative Social Science (Hybrid)
2V Qualitative Methods for Empirical Social Science (Online)
Full day – 10:00 – 17:45
2W Ethnographic Methods for the 21st Century (35hrs course, one week, 20-24 July) (In person only)
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SESSION THREE: Monday 3 August – Friday 14 August 2026
Morning – 10:00 – 13:30
3A Introduction to Regression (Online)
3B Multilevel Models: Practical Applications (Online)
3C Bayesian Latent Variable and Measurement Models (Online)
3F Confirmatory Factor Analysis and Structural Equation Modelling using R (Online)
3G Text Analysis for Social Scientists: Utilizing LLM-Assisted Coding (Online)
3J Deconstruction and Discourse Theory as Method (Online)
Afternoon – 14:15 – 17:45
3D Survey Experimental Design (Online)
3E Causal Inference for Policy Evaluation (Online)
3K Tree-based Methods and Machine Learning for Tabular Data (Online)
Full day – 10:00 – 17:45
3H Deep Learning For Text and Vision (35hrs, one week, 3-7 Aug) (Online)
