Data Science and Economic Policy MSc
Course Overview - Data Science and Economic Policy MSc
The MSc Data Science and Economic Policy is designed for students seeking to combine a solid training in the principles of economic policy and an expertise on data science approaches.
Drawing on SOAS’s world-leading applied research on economic policy, the programme allows students to assess economic policies around the world, develop coding skills, apply economic models and understand how data science techniques can guide policy making.
The programme covers major policy challenges, including the climate crisis, structural transformation, macrofinancial stability...
The MSc Data Science and Economic Policy is designed for students seeking to combine a solid training in the principles of economic policy and an expertise on data science approaches.
Drawing on SOAS’s world-leading applied research on economic policy, the programme allows students to assess economic policies around the world, develop coding skills, apply economic models and understand how data science techniques can guide policy making.
The programme covers major policy challenges, including the climate crisis, structural transformation, macrofinancial stability, poverty, inequality, corruption, as well as labour market and social protection policies. It offers students a unique opportunity to analyse these challenges both from a qualitative and a quantitative perspective and critically assess how data science is shaping economic policies and socio-economic systems in the 21st century.
Course Information
1 option available
Some courses vary and have tailored teaching options, select a course option below.
Course Details
Information
Study Mode
Full-time
Duration
1 Years
Start Date
2027-09-01
Campus
Main Site
Application Details
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
Unknown
Points of Entry
Unknown
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Fees and funding
| Region | Costs | Academic Year | Year |
|---|---|---|---|
| England, Scotland, Northern Ireland, Wales, International | £0 | 2026/27 | Year 1 |



























