Data Science and Public Policy (Economics) MSc

UCL (University College London)

The size and complexity of digital information now available has the potential to improve how we understand, design, implement and evaluate effective public policy. On the economics route of this cross-disciplinary MSc, you’ll develop the expertise required to provide insight into – and help solve – important societal issues using advanced statistical and data science methods, computer programming, machine learning and detailed knowledge about economic and political processes. The rapid expansion and increased availability of quantitative data in recent years presents policymakers with great challenges and opportunities alike. The vast complexity of digital information at our fingertips can provide us with the means to understand, design, implement, and evaluate effective public policy. However, translating this wealth of information into useful insight requires a deep understanding of cutting-edge data-science methods, rich technical skills, and detailed knowledge about economic and political processes. The Data Science and Public Policy MSc is defined by two routes: one for Economics, and one for Political Science. You’ll receive expert insight and training in applied data-science methods and economic and political processes in both routes, via three compulsory modules shared by both pathways. The Economics route further explores modern quantitative economic analysis, while the Political Science route (see the separate Graduate Prospectus entry for information) delves deeper into public policy formation and implementation. Each route has its own set of entry requirements to reflect the emphasis of that route. You can apply for a place on either the Economics or Political Science route of this programme, according to your experience and career direction. Taught by experts in quantitative social science, the degree is designed for people who are passionate about studying public policy, and who want to develop the skills required to play a leading role in the quantitative analysis of policymaking in the years to come.

Social and Historical Sciences