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 THREE WILL CLOSE ON MONDAY 22 JULY 2024 APPLICATIONS RECEIVED AFTER THIS DATE WILL BE PROCESSED AT THE DISCRETION OF THE ORGANISERS.
Session Three:
Monday 5 August – Friday 16 August 2024
3A Mathematics – part 3 8:15-9:30 BST
Morning 10:00 – 13:30 BST
3B Machine Learning For Estimating Treatment Effects From Observational Data (Hybrid)
3C How To Communicate and Engage Using Data Analysis in R (Hybrid)
3D Data Visualization with R: Explore, Model and Communicate Social Data Analysis (Hybrid)
3F Bayesian Analysis for the Social and Behavioural Sciences (Hybrid)
Afternoon 14:15 – 17:45 BST
3E Machine Learning For Tabular Data (Hybrid)
3G Quantitative Methods for Causal Inference and Policy Evaluation (Online only)
3H Advanced Methods for Text as Data: Natural Language Processing (Online Only)
3L Ideal Point Estimation, Item Response Theory, and Scaling Methods for Surveys and Behaviour (Hybrid)
3P Agent-Based Models (17.5 hours, week one only, Hybrid)
Full day course:
3N Deep Learning For Text and Vision (35 hours, week one only, Hybrid)
