Clearing 2021
MA Public Opinion and Political Behaviour
MRes Political Science (MRES) options

Year 1, Component 06

One option from EH 7 Intro OR EH 7 Inter OR EH 7 Adv
EH125-7-SU
Introduction to Social Network Analysis
(30 CREDITS)
EH137-7-SU
Introduction to Multilevel Models
(30 CREDITS)
EH144-7-SU
Introduction to Applied Bayesian Statistics
(30 CREDITS)
EH145-7-SU
Causal Inference and Experiments in the Social Sciences
(30 CREDITS)
EH158-7-SU
Longitudinal Data Analysis
(30 CREDITS)
EH161-7-SU
Data Analysis and Programming in Stata
(30 CREDITS)
EH165-7-SU
Beyond OLS: Categorical, Choice, and Count Models
(30 CREDITS)
EH172-7-SU
Machine Learning for Social Scientists
(30 CREDITS)
EH203-7-SU
Advanced Survey Data Analysis and Survey Experiments
(30 CREDITS)
EH216-7-SU
Multilevel Models: Practical Applications
(30 CREDITS)
EH217-7-SL
Bayesian Analysis for the Social and Behavioural Sciences
(15 CREDITS)
EH217-7-SU
Bayesian Analysis for the Social and Behavioural Sciences
(30 CREDITS)
EH222-7-SU
Advanced Methods for Social Media and Textual Data
(30 CREDITS)
EH239-7-SU
Panel Data Analysis for Comparative Research
(30 CREDITS)
EH246-7-SU
Mixed Methods Research
(30 CREDITS)
EH295-7-SU
Quantitative Text Analysis
(30 CREDITS)
EH315-7-SU
Advanced Machine Learning for Social Scientists
(30 CREDITS)
EH324-7-SU
Maximum Likelihood Estimation
(30 CREDITS)
EH326-7-SU
Computational Methods for Social Data Science: Exploring Society Through Visualisation and Modelling
(30 CREDITS)

In modern data analysis, graphics and computational statistics are increasingly used together to explore and identify complex patterns in data and to make and communicate claims under uncertainty. This course will go beyond traditional ideas of charts, graphs, maps (and also statistics!) to equip you with the critical analysis, design and technical skills to analyse and communicate with social science datasets. The course emphasises real-world applications. You will work with both new, large-scale behavioural datasets, as well as more traditional, administrative datasets located within various social science domains: Political Science, Crime Science, Urban and Transport Planning. As well as learning how to use graphics and statistics to explore patterns in these data, implementing recent ideas from data journalism you will learn how to communicate research findings – how to tell stories with data.

EH336-7-SU
Bayesian Analysis in the Social Sciences
(30 CREDITS)
EH337-7-SU
Quantitative Methods for Causal Inference and Policy Evaluation
(30 CREDITS)
EH348-7-SU
Spatial Econometrics
(30 CREDITS)
EH352-7-SU
Advanced Methods for Text As Data: Natural Language Processing
(30 CREDITS)
EH365-7-SU
Advanced Quantitative Methods
(30 CREDITS)
EH382-7-SU
Scaling Methods for Social Science: Measurement and Ideal Point Estimation for Surveys and Behaviour
(30 CREDITS)

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