Master 2 Quantitative Sociology and Computational Social Science

The Quantitative Sociology and Computational Social Science Master 2 track is aimed at students with solid prior background in quantitative methods and social science research who seek advanced training in cutting-edge statistical and computational methods and their application in social science research and diverse policy and commercial settings.

Graduates leave with dual expertise in social theory and data analysis—skills highly sought after in business, government, and academia. Career paths include data scientist, marketing analyst, user experience researcher, policy analyst, consultant, and sales researcher. Students are also well prepared to pursue a PhD.

The program fosters interdisciplinary thinking, combining sociology, political science, economics, and management science with advanced methods from mathematics, statistics, and computer science.

Students in the QSCSS M2 track specialize in one of two majors:

• Computational Social Science (CSS):

Human behavior and public discourse are now captured at an unprecedented scale and in real time. We leave massive digital traces every day—on social media, through our mobility, and across online platforms. Computational Social Science (CSS) powerfully integrates the theoretical depth of the social sciences with the technical power of computer science to generate data-driven, interpretable insights into a society rapidly transformed by technology.

The CSS program trains students to become independent, creative thinkers who can navigate and shape this evolving landscape. Students will develop strong computational skills while grounding their work in social scientific theory, preparing them to tackle some of today’s most urgent questions: How can we harness the benefits of AI and digital technologies while mitigating their social, cultural, and environmental consequences?

Through advanced training in computational methods and hands-on social science research experience, students gain a versatile set of theoretical, analytical, and technical tools that are directly transferable to academic, industry, and public-sector careers. This program invites ambitious French and international students eager to work at the forefront of technology and society.

• Quantitative Sociology and Demography (QSD)

Socio-economic inequalities, demographic transitions, cultural dynamics and technological transformations are reshaping societies on a global scale. The Quantitative Sociology and Demography (QSD) major integrates the theoretical depth of international sociology with the rigorous analytical power of advanced statistics to generate robust, evidence-based insights into these structural transformations.

The QSD major trains students to become rigorous analysts capable of identifying the underlying social mechanisms driving human behavior and societal change. Students acquire expertise in a comprehensive range of advanced statistical methods, mastering the interpretation of diverse forms of quantitative data to address complex research questions.

The curriculum, delivered through a mix of courses in French and English, ensures students engage deeply with both rigorous empirical research and international academic standards. This program invites ambitious students from university and engineering backgrounds to acquire a versatile set of analytical tools transferable to high-level research careers, serving as a premier pathway for doctoral studies or roles within international organizations, public administration, and private-sector research consultancies and think tanks.

Objectives

• Advance your expertise in quantitative methods and apply them to develop social science theories and empirical studies.
• Prepare for diverse and growing career paths for future academic and practical research that require data-driven yet socially meaningful insights.