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.

Pre-sessional: 

Monday 4 July to Friday 8 July 2022

0A Introduction to R Programming for the Social Sciences 14:15-17:45 BST (17.5 hours, one week)

Session One:

Monday 11 July to Friday 22 July 2022

1A Mathematics   8:15 – 9:45 BST

Morning 10:00 – 13:30 BST

1B Introduction to Quantitative Text Analysis (Online only) 
1C Introduction to Regression (Online only) 
1D Introduction to Social Network Analysis (Hybrid)
1E Statistical Modeling for Multilevel and Complex Data (In person only)
1H Qualitative Data Analysis: From Content to Discourse (In person only) 
1I Qualitative Interviewing (In person only)
1J Beyond OLS: Categorical, Choice and Count Models (Online only) 
1K Introduction to Applied Bayesian Statistics (Hybrid)
1L Web Scraping and Data Management for Social Scientists (Online only)
1N Methods for Fieldwork in Social Science (Hybrid)
1P Introduction to GIS, Geospatial Data and Spatial Analysis (Online only, week one only, 17.5 hours)
1Q Doing Discourse Analysis: Populism, Neoliberalism and Radical Democratic Politics (Online only)

 

Afternoon 14:15 – 17:45 BST

1F Introduction to Statistics for Survey Data Analysis (Hybrid) 
1G Longitudinal Data Analysis (Online only)
1M Introduction to Quantitative Methods in R (Online only)
1S Quantitative Methods for Surveying Hard to Reach Populations (Online only, week one only, 17.5 hours)