COURSE CURRICULUM

The Sociology with Data Science degree offers a structured pathway that blends sociological theory with computational and analytical skills. In the first year, students develop a strong foundation through modules such as The Sociological Imagination and Researching Social Life, while also gaining essential technical knowledge with Introduction to Programming and Object-Oriented Programming. Additional modules like Unlocking Your Academic Potential and a choice of sociology options broaden both academic and personal development. In the second year, the focus shifts to exploring global and societal issues alongside data science techniques. Modules such as Power and Agency in a Global World, Introduction to Social Data Science, and Social Data Science: Uncover, Understand, Unleash emphasize the use of quantitative approaches to studying crime, inequality, and society. Students also deepen their computational skills through compulsory programming options, while engaging in career-focused training through Career Development and Making a Difference. The final year consolidates knowledge by applying advanced data science methods to sociological research. Modules such as Modelling Crime and Society, Natural Language Engineering, and Information Retrieval highlight how computational tools can be applied to social problems. The year culminates with a Quantitative Research Project and optional modules, preparing students for careers or further study.