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

 

Session Three:

Monday 7 August – Friday 18 August 2023

3A Mathematics – part 3  8:15-9:30 BST

Morning 10:00 – 13:30 BST

3D Computational Methods for Social Data Science: Exploring Society Through Visualisation and Modelling (Hybrid)
3F Bayesian Analysis for the Social and Behavioural Sciences (Hybrid)
3H Introduction to Programming in Python for Social Scientists (Hybrid)
3L Scaling Methods and Ideal Point Estimation for Surveys and Behaviour (Hybrid) 

Afternoon 14:15 – 17:45 BST

3B Advanced Methods for Social Media & Textual Data (Online Only)
3G Quantitative Methods for Causal Inference and Policy Evaluation (Online only)
3K Heterogeneity and Dynamics: Time Series and Panel Data (Hybrid)
3L Scaling Methods and Ideal Point Estimation for Surveys and Behaviour (Hybrid)
3M Advanced Methods for Text as Data: Natural Language Processing (Online)
3P Introduction to Agent-Based Modelling (17.5 hours, week one only, Hybrid)

Full day (morning and afternoon sessions)

3N Advanced Machine Learning: Deep Learning Models (35 hours, week one only, Hybrid)