This introductory data science module will introduce core economics students to a wide array of data sources and types and how to work with them. It is intended to provide students with foundation data science skills, working in R.
The module will run in Term 1.
See the Module Schedule for lecture times and syllabus, including Lecturers and Advice and Feedback hours.
Consult the FAQs for more information.
The "Behavioral Insights and Applications in Economics" module for third-year economics students provides a comprehensive exploration of the intersection between behavioral science and economic principles. This advanced course delves into the fundamental theories and empirical evidence underpinning behavioral economics, examining how psychological factors influence individual and collective decision-making processes. Students will gain a nuanced understanding of behavioral insights, exploring their application to various economic contexts and policy domains like health, education, environment and political system. Through a combination of theoretical discussions, case studies, and real-world examples, participants will develop the analytical skills necessary to critically assess economic phenomena through the lens of behavioral perspectives. This module aims to equip students with the knowledge and tools to apply behavioral insights in practical economic scenarios, fostering a deeper appreciation for the complexities of human behavior within economic systems.