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UCL (University College London): Data Science and Public Policy (Political Science)
| Institution | UCL (University College London) View institution profile |
|---|---|
| Department | Economics View department profile |
| Web | www.ucl.ac.uk/social-historical-sciences/ |
| Study type | Taught |
Summary
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.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 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. Applicants are asked to upload the syllabus of their advanced module(s) in quantitative methods with their application. 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. English level: Level 4 |
| Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 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. Applicants are asked to upload the syllabus of their advanced module(s) in quantitative methods with their application. 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. English level: Level 4 |
| Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
Shaping tomorrow’s thinkers through the lessons of history
UCL Faculty of Social & Historical Sciences seeks to understand the social, political, economic, cultural and environmental processes that have shaped the world over time. Our academics develop cutting-edge, cross-disciplinary research and education that has positive, real-world impact. We will challenge you to think in new ways, engage critically with global issues and look for creative solutions.
We are consistently ranked among the world’s top 15 across our disciplines and 3 subjects in the global #5 according to QS World University Rankings by Subject 2025
(Archaeology #3, Anthropology #4, …
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