Courses for the fifty-sixth Essex Summer School in Social Science Data Analysis

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 esumsda@essex.ac.uk
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PLEASE NOTE: Applications for all 2023 courses will open in February.

PRE-SESSIONAL: Monday 3 July – Friday 7 July 2023

One week course (17.5 hours): 3-7 July 2023

0A Introduction to R Programming in the Social Sciences (Online only)

SESSION ONE: Sunday 9 July to Friday 21 July 2023

One-day course: Sunday 9 July 2023

1X Introduction to R (6 hours) (Online only)

Two-week courses (35 hours): 10 – 21 July 2023
1A Mathematics 1 (15 hours) (Online only)
1B Introduction to Quantitative Text Analysis (Hybrid)
1C Introduction to Regression (Online only)
1D Introduction to Social Network Analysis (In person only)
1E Statistical Modelling for Multilevel and Complex Models  (In person only)
1F Introduction to Statistics for Survey Data Analysis  (Hybrid)
1G Longitudinal and Panel Data Analysis (Hybrid)
1H Qualitative Data Analysis: Methodologies for Analysing Text and Talk (In person only)
1J Beyond OLS: Categorical, Choice and Count Models (Hybrid)
1K Introduction to Applied Bayesian Statistics (Hybrid)
1M Introduction to Quantitative Methods in R (Hybrid)
1N Methods for Fieldwork in Social Science (Online only)
1Q Doing Discourse Analysis: Populism, Neoliberalism and Radical Democratic Politics (Online only)
1R Introduction to Game Theory (Hybrid)
1T Designing Feasible Research Projects in the Social Sciences (Hybrid)

One-week course, week 1 of session 1: 10 July – 14 July 2023

1I Qualitative Interviewing  (35 hours, week one only, In person only)
1P Introduction to GIS, Geospatial Data and Spatial Analysis (17.5 hours, week one only, Hybrid)

SESSION TWO: Sunday 23 July to Friday 4 August 2023

One-day course: Sunday 23 July 2023

2X Introduction to R (6 hours) (Online)

Two-week courses (35 hours): 24 July– 4 August 2023
2A Mathematics part 2 (15 hours) (Online)
2B Quantitative Data Analysis and Statistical Graphics with R (Hybrid)
2C Advanced Survey Data Analysis and Survey Experiments (Hybrid)
2D Case Study Methods (In person only)
2E Multilevel Models: Practical Applications (Online only)
2F Quantitative Text Analysis (Online only)
2G Longitudinal Data Analysis (Online only)
2H Mixed Methods Research (Hybrid)
2I Applying Discourse Theory – Politics, Ideology, Populism (Hybrid)
2J Machine Learning for Social Scientists (Hybrid)
2K Causal Inference and Experiments in the Social Sciences (Hybrid)
2L Spatial Econometrics (Hybrid)
2M Introduction to Probability Theory for MLE, Bayesian Inference and Machine Learning Using R (Hybrid)
2N Confirmatory Factor Analysis & Structural Equation Modelling (Online only)
2Q Ethnography and Ethnographic Methods (In person only)
2S Introduction to Statistics for Social Science Research with SPSS (In person only)
2V Introduction to Web Scraping and Data Management for Social Scientists (Hybrid)

One-week courses (week 1 of session 2): 24 July – 28 July 2023

2R Statistical Analysis for Cross-Sectional and Longitudinal Network Analysis (17.5 hours, week one only, Hybrid)
2W Introduction to Statistics and Analytics with a Management Focus using R/Radiant (17.5 hours, week one only, Hybrid)

One-week courses (week 2 of session 2): 31 July – 4 August 2023

2P Quantitative Methods for Surveying Hard to Reach Populations (17.5 hours, week two only, Hybrid) 
2T Survival Analysis and Event History Modelling (17.5 hours, week two only, Online only)

SESSION THREE: Sunday 6 August to Friday 18 August 2023

One-day course: Sunday 6 August 2023

3X Introduction to R (6 hours) (Online)

Two-week courses (35 hours) 7 August – 18 August 2023
3A Mathematics part 3 (15 hours) (Online)
3B Advanced methods for Social Media and Textural Data (Online only)
3D Computational methods for Social Data Science: Exploring Society through Visualization and Modelling (Hybrid)
3F Bayesian Analysis for the Social and Behavioural Sciences (Hybrid)
3G Quantitative Methods for Causal Inference and Policy Evaluation (Online only)
3H Introduction to Programming in Python for Social Scientists  (Hybrid)
3K Heterogeneity and Dynamics: Time Series and Panel Data (Hybrid)
3L Scaling Methods and Ideal Point Estimation for Surveys and Behaviour (Hybrid)
3M Advanced Methods for Text as Data: Natural Language Processing (Online)

One-week course (week 1 of session 3): 7 August – 11 August 2023
3P Introduction to Agent-Based Modelling (17.5 hours, week one only, Hybrid)
3N Advanced Machine Learning: Deep Learning Models  (35 hours, week one only, Hybrid)