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MSc Sociology and Social Inequalities

  • DeadlineStudy Details: 1 year - 5 years

Masters Degree Description

The Sociology and Social Inequalities MSc offers advanced sociological training with a dedicated focus on understanding and addressing social inequalities. Through a curriculum that combines rigorous methodological training with an interdisciplinary approach, you will explore the roots, mechanisms, and impacts of inequality across individual, community, national, and global contexts. Topics that may be covered include intersections of race, gender, social class, social justice, the climate crisis, AI and new technology, and the paths towards creating a more equitable future.

Entry Requirements

A minimum of an upper second-class Bachelors' degree from a UK university or an overseas qualification of an equivalent standard in sociology or a related social science subject. If you do not meet these requirements individuals with relevant work experience, or with A level sociology and an undergraduate degree in another subject who show a clear desire to change discipline may be considered.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

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

Student Destinations

This is a new degree so there are no alumni yet.

Module Details

Compulsory modules

  • Global Sociology
  • Sociological Approaches to Inequalities
  • Principles of Sociological Explanation
  • Social Change in Contemporary Society
  • Advanced Social Theory
  • Dissertation
  • 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
  • Digital Technologies for Research Evidence Synthesis
  • Systematic Reviews for Policy: Taking a Complexity Perspective
  • Approaches to Systematic Review Synthesis
  • Data Science using International Data
  • Intersectionality and Critical Qualitative Research
  • Understanding Data for the Social Sciences
  • Intergenerational Mobility and Education Policy
  • Early Child Development: Policy and Inequality

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
  • Digital Technologies for Research Evidence Synthesis
  • Systematic Reviews for Policy: Taking a Complexity Perspective
  • Approaches to Systematic Review Synthesis
  • Data Science using International Data
  • Intersectionality and Critical Qualitative Research
  • Understanding Data for the Social Sciences
  • Intergenerational Mobility and Education Policy
  • Early Child Development: Policy and Inequality

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