The size and complexity of digital information now available has the potential to improve how we understand, design, implement and evaluate effective public policy. Co-taught by UCL Economics and Political Science, this course will equip you as a policymaker to translate this wealth of information into useful insight, using cutting-edge data-science methods, rich technical skills, and detailed knowledge about economic and political processes.
A minimum of an upper second-class Bachelor's degree from a UK university; or an overseas qualification of an equivalent standard. All applicants must provide evidence of successfully completing at least one advanced module in quantitative methods, statistics, data science or econometrics during their Bachelor's degree.
Relevant practical or work experience in a related field may also be taken into account. For example, this might include: i) at least two years of experience working in a public sector organisation, a think tank, an international-governmental organisation, or in a public-policy consultancy role; or ii) at least two years of experience working in a data-science role.
For fees and funding options, please visit website to find out more.
The programme is designed to teach you the knowledge and skills required to provide insight into important questions in public policy using advanced statistical methods. A series of in-depth substantive modules, delivered by economists and political scientists, will provide you with the analytical tools to think deeply about important questions in policymaking. The methodological training will enable you to understand and, crucially, apply cutting-edge quantitative methods to real-world problems. Our research-based curriculum promotes a variety of research skills, which will enable you to understand, and contribute to, quantitative analyses of public policy.
Compulsory modules
Optional modules
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