Data Science and Public Policy (Economics) 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 in Economics with a significant quantitative component from a UK university, or an overseas qualification of an equivalent standard. Applicants with a qualification of an equivalent standard in another quantitative discipline, e.g. statistics, mathematics, or physics, may also be considered. Applicants whose studies for their undergraduate degree have been undertaken wholly or mainly at a university located outside the UK must supply GRE General Test scores and demonstrate competence in English at UCL’s Advanced level before the start of the course and preferably at the time of application. The quantitative GRE score must be 162 or above (post-August 2011 scores). If you studied either an undergraduate or postgraduate degree wholly or mainly at a university in the UK you do not need to provide a GRE score. 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 Incoming students must pass an online Mathematics Camp course during the summer before starting the MSc programme.English level: Level 4

Fees and funding

Tuition fees

No fee information has been provided for this course

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 (Economics) at UCL (University College London) - UCAS