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 FOR SESSION ONE WILL CLOSE ON 16 JUNE 2023. APPLICATIONS RECEIVED AFTER THIS DATE WILL BE PROCESSED AT THE DISCRETION OF THE ORGANISERS.
Monday 3 July – Friday 7 July 2023
Monday 10 July to Friday 21 July 2023
1A Mathematics (online only) 8:15 – 9:45 BST
Morning 10:00 – 13:30 BST
1B Introduction to Quantitative Text Analysis (Hybrid)
1C Introduction to Regression (Online only)
1E Statistical Modeling for Multilevel and Complex Data (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)
1N Methods for Fieldwork in Social Science (Online only)
1P Introduction to GIS, Geospatial Data and Spatial Analysis (Hybrid, week one only, 17.5 hours)
1Q Doing Discourse Analysis: Populism, Neoliberalism and Radical Democratic Politics (Online only)
1R Introduction to Game Theory (Hybrid)
Afternoon 14:15 – 17:45 BST
1D Introduction to Social Network Analysis (In person only)
1F Introduction to Statistics for Survey Data Analysis (Hybrid)
1K Introduction to Applied Bayesian Statistics (Hybrid)
1M Introduction to Quantitative Methods in R (Hybrid)
Full day (morning and afternoon sessions)