M2 - Eco-Epidemiology of Emerging Diseases - IDIL

  • Training structure

    Faculty of Science

  • Language(s) of instruction

    English

Presentation

Program

Teaching units: 20 ECTS
- Core units: Fundamental teaching specific to a discipline.
- Non-Core Unit: Introduction to another discipline in the IDIL graduate program.
- Cross-disciplinary Units: Methodological and professional training.
Multidisciplinary Team Project: 10 ECTS
Interdisciplinary project led by students from different IDIL backgrounds
Research Internship: 30 ECTS
Participation in a research project, and learning theory and skills through practice.

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  • RESEARCH INTERNSHIP Eco Epi

    30 credits
  • Transmission: Case study

    2 credits
  • Choice 1

    2 credits
    • Choose one of two options:

      • Waterborne, technological, and therapeutic pathogen threats (W

        2 credits
      • Vectors

        2 credits
  • Zoonoses

    2 credits
  • Multidisciplinary team project

    10 credits
  • Choice 2

    2 credits
    • Choose one of two options:

      • Bayesian Statistics

        2 credits
      • Spatial Data

        2 credits
  • EU NON-CORE TRAINING UNITS IDIL (CHOICE)

    4 credits
    • Choose 2 out of 13

      • Defusing quantitative nonsense

        2 credits
      • Innovations in clinical biomarkers, biotechnologies for pers

        2 credits
      • Plant health 2.0: a global war

        2 credits
      • Challenges in chemistry for health and the environment

        2 credits
      • Mediterranean Terrestrial Ecosystems

        2 credits
      • Scientific openness to earth and water issues under global c

        2 credits
      • Mediterranean Aquatic Ecosystems

        2 credits
      • Fundamentals of sustainable management

        2 credits20h
      • Explore, understand, and learn

      • The Chemistry of Beer, Wine, and Culinary Arts

        2 credits
      • How the way we move reveals who we are

        2 credits
      • Biology by the numbers: Measure, Predict, and Design

        2 credits
      • Who's afraid of AI?

        2 credits
  • Risks, Risk Analysis, and Monitoring

    2 credits
  • Cross-functional units 2B IDIL

  • Machine Learning

    2 credits

Admission

Admission requirements

First, please contact the program director for the Master's degree you are interested in to obtain information about the expected level and type of instruction offered.

French & European students:

For M2 students, applicants must submit their application via the e-candidat application:https://candidature.umontpellier.fr/candidature

International students from outside the EU: follow the "Études en France" procedure:https://pastel.diplomatie.gouv.fr/etudesenfrance/dyn/public/authentification/login.html

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