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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APPLICATIONS ARE NOW CLOSED!
PRE-SESSIONAL: Monday 3 July – Friday 7 July 2023
0A Introduction to R Programming in the Social Sciences (Online only, one week course)
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 (Hybrid)
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) – Course now at full capacity. All further applications will be placed on a waiting list.
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)
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)
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)
2N Confirmatory Factor Analysis & Structural Equation Modelling (Online only)
2Q Ethnography and Ethnographic Methods (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
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)
SESSION THREE: Monday 7 August to Friday 18 August 2023
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)
3L Scaling Methods and Ideal Point Estimation for Surveys and Behaviour (Online)
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)
