Faculty: Faculty of Social Sciences and Law, School of Sociology, Politics and International Studies (SPAIS). This three-year full-time degree (with an optional four-year study abroad pathway) provides a robust foundation in sociological theory and concepts, uniquely complemented by comprehensive, interdisciplinary training in quantitative research methods. You will learn to analyze, interpret, and write critically about the complexities of social life, with a strong emphasis on using numerical data to understand social patterns. No prior knowledge of statistical analysis is assumed or required. The program equips students with highly sought-after skills in data analysis and social research.

Graduates with a BSc in Sociology with Quantitative Research Methods are highly employable due to their specialized skillset in data analysis and critical social understanding. Career options include: Social Researcher, Data Analyst, Market Researcher, Policy Analyst (government, think tanks, charities), Civil Service (e.g., Office for National Statistics), Demographer, Urban Planner, roles in Business and Commerce (e.g., customer insight, strategy), Human Resources, Journalism, and academia. The strong quantitative skills make graduates particularly attractive in sectors that rely on data to understand populations, markets, or social trends. Many graduates also progress to postgraduate study (Master's or PhD) in sociology, social research, data science, public policy, or related fields.

The University of Bristol is a member of the UK's prestigious Russell Group, signifying its commitment to world-class research and teaching. It has a great reputation with employers in the UK, with 85% of its graduates in work or further study 15 months after the course. Bristol is southwest England's largest city and is known as a tech and startup hub, providing excellent opportunities for internships and career development, particularly for those with quantitative skills. The program benefits from Bristol Q-Step, part of a national initiative to enhance quantitative social science training.