Science, Health

Bioinformatics

  • ECTS

    120 credits

  • Duration

    2 years

  • Training structure

    Faculty of Science

Presentation

The Bioinformatics master's degree currently comprises a single course of the same name. It enables students from different bachelor's degrees to acquire complementary skills during the 1st semester of M1 , via teaching units(UE) adapted to their background. Then, from the 2nd semester of M1, they can train in bioinformatics through core business courses. Two groups of optionalcourses in S2 and S3 give the program an IT or biology/health focus.

For more information, return to the mention level where general information is given, or go down to the level of the 2 years of M1 and M2 training.

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Organization

Open on a sandwich basis

Contract type

Apprenticeship contract

Program

Select a program

M1 - Bioinformatics

M1 model
Model of the M1 year of the Bioinformatics master's program

See the complete page of this course

  • English S1

    2 credits
  • Mathematics - biostatistics

    2 credits
  • Professional life (with CEC interventions)

    2 credits
  • Choice 3

    16 credits
    • Your choice: 1 of 2

      • Computer basics part B

        2 credits
      • Computer basics part A

        2 credits
  • Project

    4 credits
  • Bioinfo 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
  • CHOICE 1

    4 credits
    • Your choice: 1 of 2

      • CHOICE 3

        4 credits
        • R programming

          2 credits
        • Epidemiology tools

          2 credits
      • Machine learning 1 (classic methods)

        4 credits
  • Biological information

    2 credits

M2 - Bioinformatics

M2 model
M2 Master of Bioinformatics syllabus

See the complete page of this course

  • Bioanalysis, transcriptomics

    4 credits
  • English S3

    2 credits
  • Advanced bioinformatics

    8 credits
  • Statistical testing

    4 credits
  • Conferences

    2 credits
  • CHOICE 1

    4 credits
    • Your choice: 1 of 2

      • Machine learning 2 (advanced methods)

        4 credits
      • Drug structure & molecules

        4 credits
  • Introduction to labor law

    2 credits
  • Project

    4 credits
  • Internship

    30 credits

Admission

Access conditions

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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