M1 Genomics Informatics Mathematics and Artificial Intelligence for Health and Environment (GENIOMHE)

  • Places available
    25
  • Language(s) of instruction
    English
  • Enrolment type
    Formation initiale
    Formation continue
  • Type of teaching
    En présentiel
  • Start of programme (indicative date)
Présentation
Objectives

This master's degree is a multidisciplinary training program that allows students to: understand the complex and diverse challenges of biology in order to meet current research and innovation needs in academic research, the biotechnology industry, the pharmaceutical industry and health; meet the new challenges related to precision medicine made possible by the rapid and massive production of genomic data; meet the challenges of using artificial intelligence in the health fields; master biomedical data analysis and modeling techniques; be autonomous in managing application development projects in various programming languages, and propose innovative IT solutions.

Skills
  • Understand the fundamental concepts behind the analysis of genomic sequences and modeling in Biology.

  • Overall organisation

    The M1 GENIOMHE-AI program runs from September to March. A mandatory two-month internship will take place from April onwards in an academic research laboratory or a company.

    By the end of the M1, students will have acquired skills in genomics and human genetics, genomic data analysis, bioinformatics tools and phylogenetics, databases, machine learning and data mining, deep learning, imperative and object-oriented programming, biological systems modeling, and multivariate statistics.

    Students will also be introduced to FAIR principles and will have projects to complete. 

    Two opening modules will also be mandatory : a module on sustainable development and a module to be chosen from a list.

    Career prospects

    The course is generally followed up by a GENIOMHE M2, which is the classical continuation of study for the students who have completed the GENIOMHE M1, but
    students may also go on more generally to an M2 in Bioinformatics.

    Course Prerequisites
    • Students who have acquired knowledge and skills in both Biology and Informatics during their course (for example: Joint honours in Life Sciences-Informatics, Paris-Saclay undergraduate degree in selective Life Sciences-Info, Life Sciences undergraduate degree in Bioinformatics, undergraduate computing degree in Bioinformatics, Engineering school, etc.) . * Students who have completed a course in Biology but have an interest in Informatics and have acquired complementary knowledge and skills in this field.
    Transfer paths

    Passerelles possibles sous réserve d'approbation des jurys pédagogiques d'admission en M2 entre les éléments de formation BIBS-IA et GENIOMHE-AI à la fin du M1.

    Post-graduate profile

    At the end of GENIOMHE M1, students will have acquired a first level of skills in:

    Genomics and human genetics
    Analysis of genomic data and bioinformatics and phylogeny tools
    Relational Databases and Advanced Databases (XML, noSQL, etc.)
    Algorithmics (in particular sequence analysis), Data structures, Graphs
    Imperative and object-oriented programming with different languages
    Statistical learning, Modeling of Biological Systems
    Multivariate statistics and Planning of experiments

    Location
    EVRY
    Collaboration(s)
    Laboratories

    Genoscope - DRF/JACOB
    Institut des Sciences des Plantes de Paris-Saclay
    Institut Génomique - DRF/JACOB
    Laboratoire de Mathématiques et Modélisation d'Evry
    Laboratoire Européen de Recherche pour la Polyarthrite rhumatoïde
    Informatique, Biologie Intégrative & Systèmes Complexes
    Approches génétiques intégrées et découvertes thérapeutiques pour les maladies rares
    Vectorologie et thérapeutiques anticancéreuses.

    Programme

    The schedule will be posted shortly.

    Modalités de candidatures
    Application period
    From 15/01/2026 to 25/04/2026
    Admission criteria
    Dossier
    Compulsory supporting documents
    • Motivation letter.

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

    • Certificate of English level.

    • Curriculum Vitae.

    • Detailed description and hourly volume of courses taken since the beginning of the university program.

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

    • Supporting documents :
      - Residence permit stating the country of residence of the first country
      - Or receipt of request stating the country of first asylum
      - Or document from the UNHCR granting refugee status
      - Or receipt of refugee status request delivered in France
      - Or residence permit stating the refugee status delivered in France
      - Or document stating subsidiary protection in France or abroad
      - Or document stating temporary protection in France or abroad.

    Contact(s)
    Course manager(s)
    Administrative office
    Aurélie Dekoninck - Aurelie.dekoninck@univ-evry.fr