MSc Social Research Methods with Data Science

A minimum of an upper second-class Bachelor's degree from a UK university or an overseas qualification of an equivalent standard, in a social science discipline.

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

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

Graduates with skills in social data science are in demand from a wide range of employers, including government departments, academic institutions, the media, finance and marketing.

Compulsory modules

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

Optional modules

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