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Licence Mathématiques et informatique appliquées aux sciences humaines et sociales (MIASHS), Parcours : Mathématiques et sciences sociales

L’objectif du parcours MS est de permettre aux étudiants d’acquérir les connaissances nécessaires pour comprendre, analyser, et interpréter des problèmes sociaux de façon rigoureuse.


  • AIMS

    The objective of the MS course is to enable students to acquire the knowledge necessary to understand, analyse and interpret social problems in a rigorous manner. Starting with the fundamentals of mathematics, computer science and social sciences, students are trained in modelling, interpretation, and quantitative and qualitative data processing in the social sciences. Analysis, algebra, probabilities and statistics (R language) are combined with computer science (programming, database management) to provide powerful analytical tools. These tools are used in the social sciences. In these disciplines, students acquire solid skills in the basics of research methods (surveys, polls, modelling and experimentation);Theoretical foundations in sociology, psychology, history, geography, and geography are also required to provide relevant interpretive frameworks. The training of students and the implementation and practice of multidisciplinarity characterise the specificity of the MS programme. The combination of this knowledge in mathematics, computer science, social sciences, and economics allows students to pursue Masters in applied mathematics, Masters in social sciences, and multidisciplinary Masters that integrate these fields.

    The courses in mathematics, computer science, social sciences, and economics will be taught in the MS programme.

    The courses in mathematics and computer science are organised to meet the needs of the social sciences in terms of modelling and problem solving. The internship (or dissertation) allows the student to become familiar with the professional environment by giving him/her the opportunity to use the knowledge acquired during the three years of the degree. Indeed, one of the objectives of this degree is to train students with solid skills in the field of mathematics, computer science and human and social sciences, knowing how to use them in a relevant way in solving various social problems.


    The MS course of the MIASHS Licence is carried by the department of Mathematics of the Faculty of Sciences. It allows the continuation of studies in Master in the three disciplinary fields (mathematics, computer science and SHS). The MS course is organised around different sets of options allowing: a connection with the Master in Applied Mathematics, Statistics, the Master MEEF which prepares for the teaching professions, as well as the Master in Cognitive Sciences.

    The MS course will also allow for the continuation of studies in the Master's degree programme in the three disciplines of Mathematics, Computer Science and Social Sciences.

    The MS pathway will thus facilitate, for all students, access to the various masters in statistics, data science, actuarial science,...

    This course relies in the same way on different research teams at Aix Marseille University:

    The course is based on the following

    • L'I2M (Institut de Mathématiques de Marseille) UMR CNRS 7373
    • The LIS, a unit born on 1 January 2018 from the merger of the Laboratoire d'Informatique Fondamentale (UMR CNRS 7279 LIF) and the Laboratoire des Sciences de l'Information et des Systèmes (UMR CNRS 7296 LSIS)
    • The ESPACE laboratory UMR CNRS 7300 which brings together geographers, sociologists, historians and anthropologists
    • The LPED (Laboratoire Population Environnement Développement) UMR 151 AMU-IRD
    • The OSU (Observatoire des Sciences de l'Univers)

    More specifically, the link with research is made via internships in laboratories, or through the methodology of certain exercises: the carrying out of surveys, polls, experiments, the design and exploitation of databases, the writing of a dissertation under the direction of a teacher-researcher in connection with the themes of the laboratories concerned.


    Future MIASHS graduates, regardless of the level of degree attained, will be able, with varying degrees of performance, to:

    They will be able to

    • Use disciplinary and transdisciplinary scientific knowledge: understand and solve economic and social problems in a rigorous manner by acquiring and articulating a necessary knowledge base in mathematics, computer science, and human and social sciences.
    • Élaborer une démarche scientifique : Analyse, model and interpret through a rigorous scientific process complex economic and social problems by articulating in a relevant way various methods and disciplinary knowledge.
    • Communicate clearly and rigorously in French and English: Rédiger et présenter orally un compte rendu d'eeacute;tudes, un mémoire ou un rapport de stage accessibles à divers publics qui respectent les normes de rédaction et de présentation des disciplines concernées (maths, computer science, and humanities and social sciences). To be introduced to written and oral scientific communication in English.
    • &Develop and implement individual or group projects: Build and develop individual or group interdisciplinary projects (math, computer science, and humanities and social sciences) based on a collaborative process.
    • Use disciplinary skills in the professional environment: Use methodologies and put into perspective knowledge in mathematics, statistics, computer science, and humanities and social sciences in the context of a research project or a professional project.
    • Develop a project facilitating integration within a professional organisation and an ethic favouring responsibility: Build a personal and professional project by putting in synergy multidisciplinary knowledge (mathematics, statistics, computer science, and human and social sciences) respecting the principles of ethic and deontology.

    More specifically, students from the MS pathway will be able to carry out scientific studies involving the collection and statistical processing of data;They will be able to develop scientific studies involving the collection and statistical processing of data on the behaviours, attitudes and perceptions of individuals or groups in order to better understand contemporary social phenomena, by articulating theoretical and empirical approaches from a wide range of social sciences and humanities (including sociology, psychology, geography).


    The MS course offers a compulsory internship in the last semester. Students can carry out their internship in companies, local authorities or research organisations (see the list of laboratories strongly involved in the MIASHS degree). The students are thus led to apply their skills in mathematics, statistics, computer science, sociology, geography, psychology, history, on problems and themes such as logistics, transport, insurance, prevention, etc;The multidisciplinary nature of its content means that the MS pathway of the MIASHS degree offers natural links with the socio-economic world. In particular, the advanced training in statistics, computer science, and SHS, confers to the students a great adaptability in the use of the digital tools of the companies as well as a capacity to propose relevant statistical treatments according to the problems of the services which accomodate the students in training course.

    The MS degree course is designed for students who are not working in the field.


    The training is given only in the classroom. A large place is given to supervised work since approximately 90% of the teaching has a lecture/supervised work partition. A strong point of the training is the presence of projects and internships related to the above mentioned competences (about 20% of the work). Approximately 60% of the courses are on digital working materials (AMETICE). Approximately 15% of the courses will be offered in reverse teaching.

    The course will also be offered in the form of a course of study in the form of a course of study in the form of a course of study in the form of a course of study in the form of a course of study in the form of a course of study in the form of a course of study in the form of a course of study.



    • 114D Mathématiques de l'économie, statistique démographique, mathématiques des sciences sociales, des sciences humaines (fr)
    • 123G Sociologie et travail social ; Sociologie et santé (fr)
    • 326M Informatique, traitement de l'information (fr)

    Statistical officer




Responsables du parcours