Capstone Project: MPA - Data Science for Public Policy
London School of Economics and Political Science · England · PP4B5
Capstone Project: MPA - Data Science for Public Policy is a subject at London School of Economics and Political Science, England in PP. It covers topics like data-analytics, data-science, policy-analysis, public-policy. It is part of 6 degrees. The information below is compiled from public course material — approximate, not official.
London School of Economics and Political Science
PP4B5
3.00
PP
Topics covered
Degrees that include Capstone Project: MPA - Data Science for Public Policy
- LSE-Sciences Po Double Degree in Urban Policy
- LSE-Sciences Po Double Master of Public Administration
- MPhil/PhD Computational Social Science
- MPhil/PhD Data, Networks and Society
- MPhil/PhD Statistics
- MRes/PhD Political Science
Frequently asked questions
What is Capstone Project: MPA - Data Science for Public Policy about?
Capstone Project: MPA - Data Science for Public Policy covers topics like data-analytics, data-science, policy-analysis, public-policy.
Which degrees include Capstone Project: MPA - Data Science for Public Policy?
Capstone Project: MPA - Data Science for Public Policy is part of 6 degrees, including LSE-Sciences Po Double Degree in Urban Policy, LSE-Sciences Po Double Master of Public Administration, MPhil/PhD Computational Social Science, MPhil/PhD Data, Networks and Society, MPhil/PhD Statistics.
How many credit points is Capstone Project: MPA - Data Science for Public Policy?
Capstone Project: MPA - Data Science for Public Policy at London School of Economics and Political Science is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Capstone Project: MPA - Data Science for Public Policy taught?
Capstone Project: MPA - Data Science for Public Policy is taught at London School of Economics and Political Science, England.
Studying Capstone Project: MPA - Data Science for Public Policy?
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Sources: London School of Economics and Political Science public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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