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Data Science and Public Policy (Political Science) at UCL (University College London) - UCAS

Course summary

UCL's MSc Data Science and Public Policy, co-taught by UCL Economics and Political Science, will equip a new generation of policymakers to solve the biggest problems in today's society through data science.


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. 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


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Data Science and Public Policy (Political Science) at UCL (University College London) - UCAS