M2 - Eco-Epidemiology of Emerging Diseases - IDIL

  • Training Structure

    College of Sciences

  • Language(s) of Instruction

    English

Overview

Program

Course Units: 20 ECTS
- Core Units: Fundamental courses specific to a discipline.
- Non-Core Course: Introduction to another discipline within the IDIL graduate program.
- Cross-Disciplinary Courses: Methodological and professional development courses.
Multidisciplinary Team Project: 10 ECTS
Interdisciplinary project led by students from different IDIL tracks
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
  • Option 1

    2 credits
    • Choose one of the following two options:

      • The Threat Posed by Waterborne, Technology-Borne, and Therapy-Borne Pathogens (W

        2 credits
      • Vectors

        2 credits
  • Zoonoses

    2 credits
  • Multidisciplinary Team Project

    10 credits
  • Option 2

    2 credits
    • Choose one of the following two options:

      • Bayesian Statistics

        2 credits
      • Spatial Data

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

    4 credits
    • Choose 2 out of 13

      • Defusing Quantitative Nonsense

        2 credits
      • Innovations in clinical biomarkers and 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 in a Global Context

        2 credits
      • Mediterranean Aquatic Ecosystems

        2 credits
      • Basics of Sustainable Management

        2 credits20h
      • Explore, understand, and learn

      • The Chemistry of Beer, Wine, and the 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
  • Transversal Units 2B IDIL

  • Machine Learning

    2 credits

Admission

Admission Requirements

First, please contact the program director of the master’s program you are interested in to obtain information about the expected academic level and the type of instruction offered.

French and European students:

For the M2 program, students must submit their application through the e-candidat portal: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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