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M2 Quantitative Sociology and Demography

Apply for the degree
  • Places available
    20
  • Language(s) of instruction
    English
    French
Présentation
Objectives

The master's program in sociology at Paris-Saclay University groups all sociology programs of Paris-Saclay's partners based on common educational objectives: teaching the fundamental concepts and paradigms of sociology, learning the different survey methods, developing a critical and reflective attitude, writing a master's dissertation, and professional or research internships.
The objective of this program is to prepare students to write a thesis in quantitative or demographic sociology or to begin working after their master's degree managing socio-economic studies, or head of a mission, or statistician. To do this, they will acquire the technical skills needed to collect, process and analyse quantitative data as well as the reflective ability to apply reasoning and a heuristic approach to social sciences. The dissertations developed over the 2-year program as well as the internships during their M2 will greatly contribute to their career development either by working in a team or a research unit or by working in a company (design office, consulting firm, in the department responsible for studies and statistics in an administrative or government office, etc.).

Location
GIF SUR YVETTE
PALAISEAU
GUYANCOURT
Course Prerequisites

Access to M2 requires prior training in social sciences as well as training in quantitative methodologies. Applicants must have obtained good results in both these disciplines.

Skills
  • Acquire an aptitude for sociological reasoning.

  • Develop the capacity to consider data and results with a critical mind.

  • Proficiently use statistical and demographic tools, data processing and database management software.

  • Carry out statistical surveys from the design stage to that of formulating results.

  • Carry out research work: elaborate a research problem, implement a surveying system, analyse the results, write a dissertation.

  • Read and write sociological texts in English.

Post-graduate profile

Graduate students are sociologists trained to use quantitative and demographic methods; data social scientists who combine sociological reflection with an excellent understanding of statistical analyses.

Career prospects

The study path leads to two types of career opportunities:
- preparation of a thesis in quantitative sociology or demography to gain access to jobs as researcher, academic lecturer, research engineer
- direct entry into the labour market, in public administrations (eg. INSEE, Ministries, local or regional authorities), research centres and observatories (INED, CNRS), companies (eg. Google, Facebook, Amazon); or in associations, working as social data scientist, computational sociologist, research manager in sociology, demography or the social‐economics field, mission coordinator, project manager, survey and poll manager, statistician engineer.

To do this, the programme equips students not only with the technical skills required for the collection, processing and analysis of quantitative data but also with the reflexive capacities necessary to any reasoned and heuristic use of quantification in the social sciences. The research theses carried out in M1 and M2 as well as the internships carried out in M2 help prepare students for working life as they join a team or a research unit, or find a post in a professional environment (design office, consultancy firm, studies and statistics departments of an administration or community, etc.)

Collaboration(s)
Laboratories

Institutions et Dynamiques Historiques de l'Economie et de la société
Laboratoire Professions, Institutions, Temporalités.

CREST (Centre de Recherche en Economie et Statistique) de l'ENSAE ParisTech.

Programme
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Topics in quantitative sociology 3 24
Séminaire de recherche de laboratoire 1 2 12
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Demography 3 24
Analyse lexicale 2 12
Analyse de réseaux 2 12
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Suivi des mémoires de recherche 6 15
Publier en sciences sociales 2 18
Methods in quantitative sociology 3 24
Méthodes statistiques et applications informatiques 4 16 16
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Sociologie numérique 3 24
Sociogenomics 3 24
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Sociologie des pratiques culturelles 3 24
Sociologie de l'immigration et de l'intégration 3 24
Séminaire de recherche de laboratoire 2 2 12
Controverses en sociologie des inégalités 3 24
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Stage de recherche 3 0 0
Science des réseaux sociaux et économiques 3 24
Digital labour 3 10 14
Approfondissements démographiques 2 12
Anglais sociologique 3 2 18
Fabrication d’enquêtes 3 18
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Suivi des mémoires de recherche et des rapports de stages 15 15
Modalités de candidatures
Application period
From 29/03/2022 to 15/06/2022
From 29/08/2022 to 05/09/2022
Compulsory supporting documents
  • Curriculum Vitae.

  • All transcripts of the years / semesters validated since the high school diploma at the date of application.

  • Motivation letter.

Additional supporting documents
  • Certificate of French (compulsory for non-French speakers).

  • The application procedure, which depends on your nationality and your situation is explained here : https://urlz.fr/i3Lo.

  • VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).

Contact(s)
Course manager(s)
Nicolas Robette - nicolas.robette@uvsq.fr
Samuel COAVOUX - samuel.coavoux@ensae.fr
Administrative office
Mélanie TALNEAU - melanie.talneau2@uvsq.fr
Admission