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Economic Policy and Data Analytics MSc

Economic Policy and Data Analytics MSc

Different course options

Full time | Liverpool Campus | 12 months | SEP-26

Study mode

Full time

Duration

12 months

Start date

SEP-26

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Economic Policy Digital Metrics / Website Analytics

Course Summary

MSc Economic Policy and Data Analytics is an excellent opportunity if you wish to pursue a career requiring state-of-the-art analytical skills to address policy issues that you are passionate about.IntroductionData is reshaping the way that policymakers understand, design, implement, and evaluate effective public policy. Translating this increasing amount of data into useful insight requires an understanding of cutting-edge analytical methods, strong technical skills, and strong foundation in economics.This programme offers you rigorous training in economic theory and the analytical methods needed to answer the pressing policy questions facing public institutions, international organisations, consulting firms, research institutions, and think tanks.With a strong emphasis on technical skills, the modules in this programme cover a range of economic policies, including healthcare, the social safety net, economic inequality, environmental sustainability and energy policy, and tax and fiscal policy.Modules are taught by world-class researchers who publish in world-leading academic journals on the topics they teach. The faculty teaching on this programme maintain close relationships with businesses, governments, and non-profit organisations, linking their research and their teaching to a real-world impact.

Tuition fees

UK fees
Course fees for UK students

For this course (month)

£1,167

International fees
Course fees for EU and international students

For this course (month)

£2,500

Entry requirements

We accept a 2:2 honours degree from a UK university, or an equivalent academic qualification from a similar non-UK institution. This degree should be in Economics or a closely related discipline with a quantitative focus.

Students with a 2:2 degree from a quantitative science discipline (e.g. Mathematics, Physics, Statistics, Operations Research) are also encouraged to apply.

Applicants should have competency in A level Mathematics/Statistics or equivalent.

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