SOAS University of London

UK
3 Scholarships 71 Programs 4 Degree levels
Masters

Data Science and Economic Policy

DegreeMasters
FieldMSc Data Science & Economic Policy
Duration1 year
Tuition25320.00

Overview

The MSc Data Science and Economic Policy at SOAS University of London explores how data science methods can be used to understand and improve economic and social policy outcomes. You will learn to apply quantitative and qualitative approaches to real-world policy challenges, including inequality, poverty, labour markets, and macrofinancial stability. The programme also examines the ethical and practical implications of using machine learning and AI in policymaking, preparing you for policy, research, and analytics roles across public and private sectors.

About this programme

Overview

The MSc Data Science and Economic Policy at SOAS University of London delves into the application of data science techniques to enhance economic and social policy outcomes. This program equips students with the skills to tackle real-world issues such as inequality, poverty, labor market dynamics, and macroeconomic stability through both quantitative and qualitative methodologies.

Students will also explore the ethical and practical dimensions of integrating machine learning and artificial intelligence into policymaking, preparing graduates for diverse roles in policy analysis, research, and analytics within both public and private sectors.

What you'll study

The program is structured around a combination of taught modules and a significant independent research project.

  • Taught component: Engaging seminars and workshops that emphasize hands-on exercises, case studies, and organized group discussions, fostering analytical and policy-oriented thinking.
  • Research project: A comprehensive 10,000-word project where students can investigate a pertinent policy question using relevant data and methodologies.

Curriculum focus areas include: data-driven policy analysis, perspectives on economic and development policy, evidence evaluation, and the responsible application of machine learning and AI in policymaking.

Note: The titles and sequence of modules may vary; please consult the program website for the current curriculum details.

Entry requirements

  • Applicants should hold a Lower Second Class (2:2) degree (or an international equivalent) in any discipline, even if it does not have a strong data science focus.
  • The admissions team evaluates various components of the application, including the supporting statement.
  • References: While optional, they can enhance your application, especially if your qualifications are below the 2:2 threshold or if you have a non-traditional academic background.

Career prospects

Graduates of the MSc Data Science and Economic Policy are well-prepared for careers in various sectors, including government agencies, think tanks, international organizations, and private companies. Roles may include policy analyst, data scientist, economic researcher, and consultant, focusing on using data to inform and shape effective policy decisions.

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Programme details are indicative and may change — always verify current information with the official university website before applying.