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Data science pour l'agronomie et l'agroalimentaire

Engineering Master Degree - Semesters 9 & 10 - Master of Science 2

Agricultural sciences engineering Master Degree

Option Data Science for Agronomy and Agri-food

Update : 05/04/2020

Data science, a challenge for the future and a skill in demand

What type of training ?
une formation diplômante, sous statut étudiant

For who ?
étudiant titulaire d'un diplôme français, étudiant international

Where ?
Montpellier SupAgro
  • AgroCampus Ouest (September to November)
  • Montpellier SupAgro (December to February)


The course is part of a partnership between Agrocampus Ouest (Rennes) and Montpellier SupAgro. The programme provides solid methodological know-how and skills in the data sciences while working closely with private partners.

The objectives of the training course are to:

  • Train data science managers for the agriculture and agri-food sectors
  • Broaden the range of training to include diverse careers related to large volumes and flows of data which are necessary in all agricultural, agri-food and agro-industrial sectors.


  • information technology and biostatistics
  • Programme

    Number of ECTS credits : 60

    Language of instruction : In French

    • Common core (3 months) in Rennes on applied statistics.
    • Data science project (3 months) in Montpellier on data and knowledge-based systems, knowledge extraction and digital agriculture (modelling, behaviour of dynamic systems, sensors).

    First semester (S9)

    • Reduced complexity
      • Factor analysis
      • Visualisation of massive and heterogeneous data: Big Data
    • Statistics for biological data
    • Statistics for machine learning
    • IT methods
    • Other activities: English, professional conferences
    • Digital and decisional approaches (8 ECTS): Practical training in computer science and applied mathematics. The concepts covered in Montpellier (December-February) are:
      • Initiation in knowledge-based systems and data bases
      • Extraction of knowledge
      • Sensors, GIS
      • Digital simulations

    Second semester (S10)

     End-of-study internship (6 months, compulsory).

  • Calendar

    • September-November: common core – applied statistics in Rennes
    • December-February: elective
      Digital and decisional approaches – Project in Montpellier
      Machine learning – statistics – Project in Rennes
    • March-August: internship (6 months)
  • Admission

    The 3rd year option is open, after review by the admissions committee, to students who have validated the M1 level (first year of a master's program) and come from:

    • an international partner institution in the context of academic mobility (earning credits)
    • a school of agriculture under the French Ministry of Agriculture and Food (See Ecole des groupes Ingénieurs) or the Ministry of Higher Education for Research and Innovation
    • or a French institution with which Montpellier SupAgro has signed an agreement

    Application forms may be obtained from the educational directorate of your institution.

    Students who have not validated the 2nd year (M1) of the Montpellier SupAgro Agricultural Engineer course are not awarded a diploma at the end of the 3rd year of the training program.


  • Careers

    • Executive expert: statistics, marketing, medical, biostatistics studies
    • Manager: sensory analysis, experiments, analysis platforms
    • Scientific expert: data scientist – big data management and analysis

Director of studies


  • UMR Mistea
  • AgroCampus Ouest
  • Private agriculture and agri-food partners
  • #DigitAG (Institut de Convergence)


Montpellier SupAgro
Campus de La Gaillarde
2 place Pierre Viala

Key features

Employment rate: 80-95% within one year of graduation - 100% within 2 years
Statistics from Agrocampus Ouest


€1,765 + €92 Contribution Vie Etudiante et de Campus (CVEC) administrative fee

Pay CVEC online


L'institut Agro | Montpellier SupAgro
2 place Pierre Viala
34060 Montpellier - France
Tél. : +33 (0)4 99 61 22 00 Tél. : +33 (0)4 99 61 22 00
Fax : +33 (0)4 99 61 29 00

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