24 monthsProgramme duration
4,317 EURTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Sociology
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Sociology program delivers high-level training at the crossroads of sociology, demography, economics, and political science. It is tailored for students seeking expertise in cutting-edge statistical and computational approaches and their application to diverse policy and commercial contexts. Graduates gain a dual expertise in social theory and data analysis, preparing them for dynamic careers as data scientists, policy analysts, and researchers.
The curriculum begins with a first year dedicated to building a strong foundation in sociological reasoning, quantitative methods, and data analysis. In the second year, the Quantitative Sociology and Computational Social Science track allows specialization in two distinct majors.
The Computational Social Science (CSS) major, taught entirely in English, integrates advanced data science with deep social inquiry. Beyond technical proficiency, it trains students to handle complex data and explore large-scale societal questions through exposure to rigorous research design. This dual approach equips graduates with the transferable skills necessary for high-impact roles in the tech industry, consulting, and public administration.
The Quantitative Sociology and Demography (QSD) major, taught in English and French, is a research-oriented track that combines rigorous training in advanced quantitative and computational methods with solid exposure to contemporary theory and research design. Benefiting from a co-accreditation with Université Paris-Saclay, this major leverages a broad academic network to offer methodological diversity and thematic depth in areas such as social inequalities, population dynamics, and environmental challenges.
The curriculum begins with a first year dedicated to building a strong foundation in sociological reasoning, quantitative methods, and data analysis. In the second year, the Quantitative Sociology and Computational Social Science track allows specialization in two distinct majors.
The Computational Social Science (CSS) major, taught entirely in English, integrates advanced data science with deep social inquiry. Beyond technical proficiency, it trains students to handle complex data and explore large-scale societal questions through exposure to rigorous research design. This dual approach equips graduates with the transferable skills necessary for high-impact roles in the tech industry, consulting, and public administration.
The Quantitative Sociology and Demography (QSD) major, taught in English and French, is a research-oriented track that combines rigorous training in advanced quantitative and computational methods with solid exposure to contemporary theory and research design. Benefiting from a co-accreditation with Université Paris-Saclay, this major leverages a broad academic network to offer methodological diversity and thematic depth in areas such as social inequalities, population dynamics, and environmental challenges.
Programme overview
Main Subject
Sociology
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Sociology program delivers high-level training at the crossroads of sociology, demography, economics, and political science. It is tailored for students seeking expertise in cutting-edge statistical and computational approaches and their application to diverse policy and commercial contexts. Graduates gain a dual expertise in social theory and data analysis, preparing them for dynamic careers as data scientists, policy analysts, and researchers.
The curriculum begins with a first year dedicated to building a strong foundation in sociological reasoning, quantitative methods, and data analysis. In the second year, the Quantitative Sociology and Computational Social Science track allows specialization in two distinct majors.
The Computational Social Science (CSS) major, taught entirely in English, integrates advanced data science with deep social inquiry. Beyond technical proficiency, it trains students to handle complex data and explore large-scale societal questions through exposure to rigorous research design. This dual approach equips graduates with the transferable skills necessary for high-impact roles in the tech industry, consulting, and public administration.
The Quantitative Sociology and Demography (QSD) major, taught in English and French, is a research-oriented track that combines rigorous training in advanced quantitative and computational methods with solid exposure to contemporary theory and research design. Benefiting from a co-accreditation with Université Paris-Saclay, this major leverages a broad academic network to offer methodological diversity and thematic depth in areas such as social inequalities, population dynamics, and environmental challenges.
The curriculum begins with a first year dedicated to building a strong foundation in sociological reasoning, quantitative methods, and data analysis. In the second year, the Quantitative Sociology and Computational Social Science track allows specialization in two distinct majors.
The Computational Social Science (CSS) major, taught entirely in English, integrates advanced data science with deep social inquiry. Beyond technical proficiency, it trains students to handle complex data and explore large-scale societal questions through exposure to rigorous research design. This dual approach equips graduates with the transferable skills necessary for high-impact roles in the tech industry, consulting, and public administration.
The Quantitative Sociology and Demography (QSD) major, taught in English and French, is a research-oriented track that combines rigorous training in advanced quantitative and computational methods with solid exposure to contemporary theory and research design. Benefiting from a co-accreditation with Université Paris-Saclay, this major leverages a broad academic network to offer methodological diversity and thematic depth in areas such as social inequalities, population dynamics, and environmental challenges.
Admission Requirements
Academic prerequisites
Or
Language prerequisites
- Year 1: Bachelor of Science in Sociology, Political Science, Demography, Economics, Applied Mathematics or Statistics.
- Year 2: Master 1 in Sociology, Political Science, Demography, Economics, Applied Mathematics or Statistics
Or
- Successful completion of 2 years of applied statistics curriculum at an engineering school member of IP Paris or equivalent in a French or foreign academic institution.
Language prerequisites
- English (B1-B2 for Year 1; C1-C2 required for Year 2).
- French (C1-C2 required for Year 1 and QSD major in Year 2).
2 Years
Sep
Tuition fees
Domestic
254 EUR
International
4,317 EUR
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