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.

APPLICATIONS WILL CLOSE ON 7 JULY 2023. APPLICATIONS RECEIVED AFTER THIS DATE WILL BE PROCESSED AT THE DISCRETION OF THE ORGANISERS.

 

Session Two:

Monday 24 July – Friday 4 August 2023

2A Mathematics, part 2 (online only) – 8:15-9:45 BST

Morning 10:00 – 13:30 BST

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)
2H Mixed Methods Research (Hybrid)
2I Applying Discourse Theory – Politics, Ideology, Populism (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)
2P Quantitative Methods for Surveying Hard to Reach Populations (17.5 hours, week two only, Hybrid)

2Q Ethnography and Ethnographic Methods (In person only)
2S Introduction to Statistics for Social Science Research with SPSS (In person only)

Afternoon 14:15 – 17:45 BST

2D Case Study Methods (In person only)
2G Longitudinal Data Analysis  (Online only)
2J Machine Learning for Social Scientists (Hybrid)
2K Causal Inference and Experiments in the Social Sciences (Hybrid)
2R Statistical Analysis for Cross-Sectional and Longitudinal Network Analysis (17.5 hours, week one only, Hybrid)
2T Survival Analysis and Event History Modelling (17.5 hours, week two only, Online only)
2V Introduction to Web Scraping and Data Management for Social Scientists (Hybrid)
2W Introduction to Statistics and Analytics with a Management Focus using R/Radiant (17.5 hours, week one only, Hybrid)