Courses are delivered either online, in person or in hybrid mode. The mode of delivery for each course is stated below.
Please note the following:
In person study: These course will be delivered in person at the Colchester campus. Online study is not available for these courses.
Online study: These courses will be taught online only. In person study is not available for these courses.
Hybrid: Hybrid delivery of courses will include synchronous live sessions during which on campus and online students will be taught simultaneously. Students need to choose the mode by which they will study at the point of application.
Please note: Courses take place in mornings or afternoons, 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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** Dates for 2025 **
PRE-SESSIONAL: Monday 30 June – Friday 4 July 2025
SESSION ONE: Monday 7 July – Friday 18 July 2025
SESSION TWO: Monday 21 July – Friday 1 August 2025
SESSION THREE: Monday 4 August – Friday 15 August 2025
** Please note – we are currently updating the course schedule for 2025 and are subject to change **
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.
PRE-SESSIONAL: Monday 30 June – Friday 4 July 2025
0A Introduction to R Programming for the Social Sciences (Online only, one week course) – AM
SESSION ONE: Monday 7 July – Friday 18 July 2025
1A Mathematics for Social Scientists (Online only)
Morning
1B Introduction to Quantitative Text Analysis (Online only)
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)
1K Quantitative Text Analysis (Hybrid)
1M Introduction to Quantitative Methods in R (Hybrid)
1N Methods for Field Work in Social Science (Online only)
1Q Doing Discourse Analysis: Populism, Neoliberalism and Radical Democratic Politics (Online Only)
Afternoon
1R Introduction to Game Theory (Hybrid)
1C Web Scraping and Data Management for Social Scientists (Hybrid)
1E Applied Social Statistics using Stata (Hybrid)
1J Categorical Data Analysis (Hybrid)
1P Agent Based Models (Hybrid, 17.5 hours, week 1 only 7-11 July) (Hybrid)
1S Data Visualization with R: Explore, Model and Communicate Social Data Analysis (Hybrid)
1T Programming and Simulation Methods for Computational Social Science (Hybrid)
Full day
1I Qualitative Interviewing (In person only, one week course, week two only 14-18 July)
SESSION TWO: Monday 21 July – Friday 1 August 2025
2A Mathematics for Social Scientists (Online only)
Morning
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 only)
2I Applying Discourse Theory – Politics, Ideology, Populism (In person only)
2J Machine Learning for Social Scientists (Hybrid)
2L Spatial Econometrics (Hybrid)
2N T.B.C
2P T.B .C
2R Analysing Multimodal Language Data (Hybrid)
Afternoon
2G Longitudinal Data Analysis (Online only)
2C T.B.C
2H Introduction to Social Network Analysis (Online only)
2K Causal Inference and Experiments in the Social Sciences (Hybrid)
2M Machine Learning For Estimating Treatment Effects From Observational Data (Hybrid)
2S Scaling, Ideal Point Estimation, and IRT Methods for Surveys and Behaviour (Hybrid)
2T Bayesian Analysis for the Social and Behavioural Sciences (Hybrid)
Full day
2Q Ethnography and Ethnographic Methods (In person only, one week, week one only 21st-25th July)
SESSION THREE: Monday 4 August – Friday 15 August 2025
3A Mathematics for Social Scientists (Online only)
Morning
3E Introduction to Regression (Online only)
3J Multilevel Models: Practical Applications (Online only)
3B Generative AI for Social Science Research (Online only)
Afternoon
3G Quantitative Methods for Causal Inference and Policy Evaluation (Online only)
3C Survey Experimental Design (Online only)
Full day
3N Deep Learning For Text and Vision (Online only, one week, 35 hours, week one only)
