Data Science and Public Policy (Political Science) MSc
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.
The English language level for this programme is: Level 4.
Further information can be found on our English language requirements page.
Pre-Master's and Pre-sessional EnglishUCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level. International Preparation Courses
Months of entry
September
Course content
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.
Fees and funding
Please see UCL website for full information about fees and costs for this programme.
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Phone
- +44 (0) 20 3370 1214