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MSc Social Policy (Research Methods)

  • DeadlineStudy Details: 1 year - 5 years

Masters Degree Description

UCL’s Social Policy (Research Methods) MSc explores contemporary social problems, policy intervention, and policymaking processes across different sectors and countries, combined with rigorous training in traditional and innovative research methodologies required in the study of social policy. The relationship between research and policy is a key course theme.

Entry Requirements

A minimum of an upper second-class Bachelors' degree from a UK university or an overseas qualification of an equivalent standard in a social science subject, such as sociology, psychology, social policy, economics, or history. If you do not meet these requirements, other considerations, such as relevant work experience, may be taken into account.

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Fees

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Programme Funding

UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

Student Destinations

Graduates from this MSc course have gained sought-after skills that allowed them to pursue professional careers in academia or policy research, policy analysis, policy development and implementation, programme management, and policy advocacy within the public, private, and non-profit sectors.

Module Details

Compulsory modules

  • Policy Engagement for Researchers
  • Understanding the Policy Process
  • Social Problems and Intervention
  • Comparative Social Policy
  • Individual Dissertation Project (Social Policy)
  • Collaborative Dissertation Project (Social Policy)
  • Advanced Social Data Science
  • Advanced Qualitative Methods
  • Impact Evaluation Methods
  • Ethnography
  • Foundations of Qualitative Methods
  • Foundations of Social Data Science
  • Advanced Computational Techniques for Data Science
  • Longitudinal Data and Analysis
  • Inclusive Research: Theory for Policy and Practice
  • Digital Technologies for Research Evidence Synthesis
  • Systematic Reviews for Policy: Taking a Complexity Perspective
  • Researching Childhoods
  • Data Science using International Data
  • Intersectionality and Critical Qualitative Research
  • Understanding Data for the Social Sciences

Optional modules

  • Advanced Social Data Science
  • Advanced Qualitative Methods
  • Impact Evaluation Methods
  • Ethnography
  • Foundations of Qualitative Methods
  • Foundations of Social Data Science
  • Advanced Computational Techniques for Data Science
  • Longitudinal Data and Analysis
  • Inclusive Research: Theory for Policy and Practice
  • Digital Technologies for Research Evidence Synthesis
  • Systematic Reviews for Policy: Taking a Complexity Perspective
  • Researching Childhoods
  • Data Science using International Data
  • Intersectionality and Critical Qualitative Research
  • Understanding Data for the Social Sciences

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