Sociology with Data Science

How can data science methods help answer social science questions? How can we combine a deep understanding of the social world, with the latest tools and data sources to analyse it? Discover how to ask the right questions, and develop the skills to answer them. By complementing a sociological understanding of the world with programming and analytical skills, you become a social scientist that can both understand and shape the big data revolution.

At Essex we investigate what connects people with each other, as well as what divides them. We consider every aspect of our daily lives, from how we relate to politicians, celebrities and friends, to how we define ourselves, our families, and others. You experience a lively, informal environment with the opportunity to explore a wide variety of topics including:

• The role of software in everyday life

• Programming with Python and Java

• Key ethical and social issues in digital societies

• Data visualisation

• Theories of social stratification

• Race, class and gender

• Sociological research methods

• Natural language engineering

With research methods rapidly changing in response to the large-scale generation of data within society, sociology needs to ensure it is engaged with new digital methods to both benefit from them, and to shape them. Sociologists with programming skills are highly valued in any organisation that must gather and draw inferences from data. By combining a sociological understanding with practical programming skills you learn how to understand and be that change in society.

Our BSc Sociology with Data Science is taught by our Department of Sociology in partnership with our School of Computer Science and Electronic Engineering to provide an interdisciplinary course.

We offer expertise in many areas that complement the study of society and technology, including criminology, social history, visual sociology, anthropology, economic sociology, US and European studies and cultural rights.

Many of our courses offer a choice of optional modules to tailor your learning experience. More information about these can be found on the University of Essex website.