L’objectif principal du parcours Mathématiques Appliquées et Sciences Sociales : Analyse des Populations est de former des spécialistes en statistique des populations maîtrisant les méthodes mathématiques et informatiques de gestion, représentation et modélisation des données ainsi que les différentes étapes d’une étude en analyse des populations. La formation vise aussi à donner les cadres théoriques pour la compréhension des enjeux de questions de population et des méthodes d’analyses démographiques, spatiales et temporelles.
Le diplômé exerce comme chargé d’études statistiques ou de recherche dans des structures privées ou publiques. Il développe des études du point de vue théorique comme technique, mettant en œuvre des méthodes statistiques et informatiques associées à des approches démographiques et spatiales pour modéliser des données structurées.
Une poursuite d’études en doctorat est possible dans plusieurs disciplines : statistique appliquée, géographie, démographie et santé publique.
Consultez le site détaillé du Parcours MASS POP !
Pédagogie
FUNDAMENTAL PREREQUISITES
- For the M1, the prerequisites correspond to the skills acquired in the MIASH degree, the mathematics degree or equivalent.
- For the M2, the prerequisites correspond to the skills acquired in the M1MAS, MASS-Population Analysis track or equivalent level.
FUNDAMENTAL PREREQUISITES
A multi-disciplinary study or internship experience.
LEARNING SITES
- SCIENCES, Marseille St-Charles
LEARNING AND RESEARCH
The parcours Applied Mathematics and Social Sciences: Population analysis is a high-level multidisciplinary scientific training on population analysis with a major in statistics. With a dual research and professional purpose, it is structured by three main components:Statistics, Computer Science and Population Analysis. It is led by a pedagogical team composed of members of laboratories of mathematics (I2M), computer science (LIS) and social sciences (LPED, ESPACE, LEST) of the University of Aix-Marseille.
PROFESSIONAL SKILLS TO BE ACQUIRED
- Conduct large-scale quantitative research on human population issues related to multiple contexts, mobilising knowledge in statistics, computer science and social sciences within a multidisciplinary team.
- Design and implement appropriate methods for data collection, processing and analysis of data
- Design and implement adapted methods for collecting, processing and analysing quantitative, category and textual data using statistical software.
- Master the theoretical frameworks in social sciences and the steps of a research methodology to conduct and coordinate population-based studies.
- Design, manage, operate survey databases to extract data relevant to a study.
- Exploit massive data in the field of investigation.
- Mobilize knowledge in Statistics, Computer Science and Social Sciences to interact within a multidisciplinary team and be the guarantor of a project.
INTERNSHIPS AND SUPERVISED PROJECTS
An important part of the course is dedicated to projects (mini-project, ter, model workshop, multidisciplinary or company project) or carried out as part of the teaching. The training includes a 2-month internship in M1 and a 4-6 month internship or a work-study program in M2.
SPECIFIC TEACHING CONDITIONS
The pedagogies employed aim at an understanding of the theoretical frameworks and methods for effective practical implementation. An important part is devoted to the analysis of real data sets and the use of statistical and specific software. Active teaching methods play an important role, particularly through the implementation of collective student projects.
SEEKED CAREERS
NSF DOMAINS
- 114D Mathématiques de l'économie, statistique démographique, mathématiques des sciences sociales, des sciences humaines (fr)
- 121B Géographie (outils, méthodes et modèles) (fr)
- 123G Sociologie et travail social ; Sociologie et santé (fr)
SEEKED CAREERS
In many fields, population analysis is used : Health, Survey, Public and territorial administration, Education, Transport, Consulting, Insurance, Banking, Environment...
The typical jobs are : Statistical Analyst, Data Analyst, Data Expert, Statistician.Statistician, Population researcher, Survey manager, Project manager, Methods engineer in social sciences and humanities, Database manager
LEARNING COURSES LIST
Inscription
ADMISSION CONDITIONS
SCHOOL REGISTRATION
Typical courses can be access by- Initial Formation
- Continious formation
- Alertnating Learning formationUniquement pour la deuxième année
- Contract Learning formationUniquement pour la deuxième année
Responsables du parcours
- Nicolas PECH — Head of M2 MASS POP)
- Benedicte GASTINEAU — Head of M2 MASS POP)
- Thomas WILLER — Head of M1 MASS POP)
