Sociology and Data Analytics

Sociology and data analytics is a combination that reflects one of the most important developments in the social sciences: the growing availability of large datasets about social life and the development of the computational tools to analyse them. Sociology provides the theoretical frameworks and critical sensibility to ask meaningful questions about how societies work, why inequalities persist, how institutions operate, and what forces produce social change. Data analytics provides the quantitative methods and computational skills to address those questions with real data, moving beyond speculation to evidence-based analysis of social phenomena.

At the University of Manchester, this three-year, full-time degree teaches you theories about the workings and organisation of societies alongside the ability to translate those theories into empirical questions that can be studied using real-world data. You will develop skills in quantitative research methods, statistical analysis, data visualisation, and the interpretation of large and complex datasets, while also building the sociological understanding needed to ask the right questions of your data and to interpret the answers critically. Manchester is one of the world's leading social science research environments, and the degree reflects that depth of expertise.

Graduates from sociology and data analytics programmes are well positioned for careers in social research, policy analysis, market research, data journalism, the public sector, and any organisation that needs to understand social trends and human behaviour using quantitative methods. The combination of sociological understanding with technical data skills is increasingly rare and valued. Many graduates also go on to postgraduate study in sociology, social research methods, data science, or public policy, building deeper expertise for research or specialist professional careers.