Master Sciences Sociales — Data Science et société numérique

Université Gustave Eiffel offers the Data Science et société numérique track within its Master Sciences Sociales, based in Marne-La-Vallée Cedex, France. The program runs for 2 years, is taught in French, has a yearly tuition of 250 EUR, and starts in September (inferred). This track combines social science with data science, examining how large-scale data and digital technologies shape society while training students in the methods used to analyze that data. Typical subjects include statistics, data analysis techniques, digital sociology, and the ethical and social implications of data collection and algorithmic decision-making. Students commonly study how digital platforms generate data about social behavior, how that data can be used to study social phenomena, and how questions of privacy, bias, and governance arise as data science becomes more embedded in institutions and public life. Coursework often blends technical training in data handling with sociological perspectives on the digital society, giving students the ability to both work with quantitative data and interpret its social meaning. Because the discipline sits between two fields, students also tend to engage with case studies drawn from public policy, media, or organizational research where data-driven methods are applied to social questions. Graduates from this track commonly pursue careers as data analysts, digital society researchers, or consultants working on data-related projects within organizations navigating digital transformation. Others move into roles connected to public policy or research institutes focused on the social effects of technology. Instruction is delivered in French throughout the program.