BSc Social Data Science

Students pursuing the BSc Social Data Science at the University of Exeter gain extensive practical experience that goes beyond classroom learning. From the very first year, you'll develop hands-on skills in programming, data analysis, and social research methods using Python and other digital tools. The program emphasizes applying social data science to real-world problems like social inequalities, migration, and pandemics. Exeter’s state-of-the-art facilities, including dedicated data labs and access to the Institute for Data Science and Artificial Intelligence, support this applied learning. Group projects, field research, and a quantitative dissertation in the final year ensure that every student has the opportunity to translate theory into practice:

• Access to Exeter’s Institute for Data Science and Artificial Intelligence for research and collaboration.

• Training in Python programming and other data analysis tools tailored for social data applications.

• Participation in group projects and applied research modules throughout the course.

• Opportunity to complete a quantitative dissertation in the final year on a topic of personal interest.

• Optional industrial placement year for hands-on work experience within UK organizations, enhancing employability and practical skills.

• Exposure to spatial analysis and social network analysis using advanced digital tools.

• Modules on Open-source Intelligence (OSINT) for applied investigative research.

• Access to Exeter’s extensive libraries and digital resources for data-driven social research.

• Opportunities for fieldwork and experiential learning through modules in sociology and anthropology.

This combination of practical training, research opportunities, and professional experience equips students to confidently enter the workforce or pursue further study in data-driven social science fields.

Graduates from the BSc Social Data Science at the University of Exeter are well-prepared to enter a range of data-driven roles in both the public and private sectors. Many find themselves working in analytics, research, and consultancy, equipped with the skills to tackle complex social issues using data. Typical roles include Data Analyst, Social Researcher, and Policy Advisor:

• University services to support employment: The Careers & Employability Service offers one-to-one career guidance, CV and interview preparation, job fairs, and internship opportunities tailored for data science students.

• Employment stats and salary figures: Exeter graduates enjoy strong employability, with many securing positions within six months of graduation; starting salaries for data and social research roles typically range from £25,000–£35,000.

• University–industry partnerships: The program collaborates with leading organisations across tech, consultancy, and public policy sectors, providing placement opportunities and real-world project experience.

• Long-term accreditation value: The degree is backed by the Institute for Data Science and Artificial Intelligence, enhancing recognition and credibility in the field.

• Graduation outcomes: Graduates gain both quantitative and analytical expertise alongside social science insight, making them highly adaptable across diverse industries.

Further Academic Progression: Students may continue their studies through postgraduate programs in Data Science, Social Research, Public Policy, or related fields, including master’s degrees in Social Data Science, Analytics, or AI-focused social research, opening pathways to specialised research or academic careers.