• ECTS

    120 credits

  • Duration

    2 years

  • Training structure

    Faculty of Science

Presentation

The Bioinformatics Master's program currently consists of a single track of the same name. It allows students from different bachelor's degree programs to acquire skills that complement their training during the first semester of M1 through teaching units (UE) tailored to their backgrounds. Then, starting in the second semester of M1, they can train in bioinformatics through core teaching units. Two groupsof optionalteaching units in S2 and S3 allow students to give their training a focus on computer science or biology/health.

For more information, return to the section containing general information or scroll down to the section on the two years of M1 and M2 training.

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Organization

Open alternately

Type of contract

Apprenticeship contract

Program

Select a program

M1 - Bioinformatics

M1 model
Model of the year for the first year of the Master's degree in Bioinformatics

See the full page for this route

  • English S1

    2 credits
  • Math review – biostatistics

    2 credits
  • Professional life (with contributions from the CEC)

    2 credits
  • Choice 3

    16 credits
    • Choose one of two options:

      • OPTION 1 [HAM1BIC1]

        16 credits
        • Fundamentals of Computer Science Part B

          2 credits
        • Fundamentals of Computer Science Part A

          2 credits
        • POO

          4 credits
        • System

          4 credits
        • Eco-Epi information system and database and geomatics

          4 credits
      • OPTION 2 [HAM1BIC2]

        16 credits
        • Molecular basis of gene expression

          4 credits
        • Basic elements of biology

          4 credits
        • Evolution 1

          8 credits
  • Project

    4 credits
  • Bioinformatics data analysis: from the individual to the population

    4 credits
  • Bioinformatics Learning Lab

    2 credits
  • Internship

    8 credits
  • English S2

    2 credits
  • Alignment and Phylogeny

    4 credits
  • Text algorithms

    4 credits
  • Advanced operational development: application to large flights

    4 credits
  • OPTION 1

    4 credits
    • Choose one of two options:

      • OPTION 3

        4 credits
        • R programming

          2 credits
        • Epidemiology tools

          2 credits
      • Machine learning 1 (classical methods)

        4 credits
  • Biological information

    2 credits

M2 - Bioinformatics

M2 model
Model of the year for the M2 Master's degree in Bioinformatics

See the full page for this route

  • NORMAL profile

    • English S3

      2 credits
    • Conferences

      2 credits
    • Bioanalysis, transcriptomics

      4 credits
    • Introduction to labor law

      2 credits
    • Project

      4 credits
    • Statistical Tests

      4 credits
    • Advanced bioinformatics

      8 credits
  • PROFILE AS INFO

    • S3 M2 BIOINFO AS INFO

      30 credits
      • Evolution 1

        8 credits
      • Molecular basis of gene expression

        4 credits
      • Basic elements of biology

        4 credits
      • Statistical Tests

        4 credits
      • Math review – biostatistics

        2 credits
      • Project

        4 credits
      • Bioinformatics data analysis: from the individual to the population

        4 credits
  • AS Bio Profile

    30 credits
    • S3 M2 BIOINFO AS BIO

      30 credits
      • Fundamentals of Computer Science Part B

        2 credits
      • Statistical Tests

        4 credits
      • Information systems and databases

        4 credits
      • Math review – biostatistics

        2 credits
      • Fundamentals of Computer Science Part A

        2 credits
      • POO

        4 credits
      • System

        4 credits
      • Project

        4 credits
      • Bioinformatics data analysis: from the individual to the population

        4 credits
  • Optional

    • NORMAL profile

      • S4M2BIOINFO

        30 credits
        • Internship

          30 credits
    • AS INFO Profile

      • S4 M2 BIOINFO AS INFO

        30 credits
        • Machine learning 1 (classical methods)

          4 credits
        • Bioinformatics Learning Lab

          2 credits
        • Internship

          8 credits
        • Alignment and Phylogeny

          4 credits
        • Molecular Microbial Ecology 2

          2 credits
        • Text algorithms

          4 credits
        • Advanced operational development: application to large flights

          4 credits
        • EU Choice M2 BIOINFO AS

          2 credits
          • Choose 1 out of 3

            • English S2

              2 credits
            • Epidemiology tools

              2 credits
            • R programming

              2 credits
        • Biological information

          2 credits
    • AS BIO profile

      • S4 M2 BIOINFO AS BIO

        30 credits
        • Machine learning 1 (classical methods)

          4 credits
        • Bioinformatics Learning Lab

          2 credits
        • Internship

          8 credits
        • Alignment and Phylogeny

          4 credits
        • Molecular Microbial Ecology 2

          2 credits
        • Text algorithms

          4 credits
        • Advanced operational development: application to large flights

          4 credits
        • EU Choice M2 BIOINFO AS

          2 credits
          • Choose 1 out of 3

            • English S2

              2 credits
            • Epidemiology tools

              2 credits
            • R programming

              2 credits
        • Biological information

          2 credits

Admission

Admission requirements

Applications can be submitted on the following platforms: 

French & European students:

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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