The MSc Data Science and Economic Policy at SOAS University of London explores how data science methods can be used to understand and improve economic and social policy outcomes. You will learn to apply quantitative and qualitative approaches to real-world policy challenges, including inequality, poverty, labour markets, and macrofinancial stability. The programme also examines the ethical and practical implications of using machine learning and AI in policymaking, preparing you for policy, research, and analytics roles across public and private sectors.
The MSc Data Science and Economic Policy at SOAS University of London delves into the application of data science techniques to enhance economic and social policy outcomes. This program equips students with the skills to tackle real-world issues such as inequality, poverty, labor market dynamics, and macroeconomic stability through both quantitative and qualitative methodologies.
Students will also explore the ethical and practical dimensions of integrating machine learning and artificial intelligence into policymaking, preparing graduates for diverse roles in policy analysis, research, and analytics within both public and private sectors.
The program is structured around a combination of taught modules and a significant independent research project.
Curriculum focus areas include: data-driven policy analysis, perspectives on economic and development policy, evidence evaluation, and the responsible application of machine learning and AI in policymaking.
Note: The titles and sequence of modules may vary; please consult the program website for the current curriculum details.
Graduates of the MSc Data Science and Economic Policy are well-prepared for careers in various sectors, including government agencies, think tanks, international organizations, and private companies. Roles may include policy analyst, data scientist, economic researcher, and consultant, focusing on using data to inform and shape effective policy decisions.
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