MSc Agricultural & Food Data Management

The Master of Science "Agricultural & Food Data Management" is at the interface between High Technology and Agriculture & Food. It ranges from the processing of data retrieved by connected objects such as drones, satellites, tablets, telephones, data on the behavior of actors in a sector, to the management and analysis of massive data for decision support.

By 2020, Big Data will revolutionize business, whether in management, research & development or marketing. The very rapid development of digital technology is leading to the development of a new activity for agriculture and requires new skills. The objective of the Master of Science is to train Data Scientists for the agriculture and food industry.

Presentation

Objectives

  • Forge an expertise in Big Data management, which has become a key factor in the performance and growth of companies;
  • Acquire computer and statistical techniques, data mining and machine learning applied to agriculture and the food industry, with a particular focus on precision agriculture;   
  • Developing a good command of statistical software and programming languages will be a real strength for students interested in research and development in areas such as plant nutrition and plant and animal epidemiology.

Key information

  • Duration of the course: 12 months   
  • Language of instruction: English   
  • Recruitment from Bac+4 / Bachelor / Licence + professional experience   
  • Access route: initial training, professional/alternative contract, continuing education   
  • Place of training: Rouen   
  • Tuition fees: consult here

 

The training program

 

  • TU1 - Agriculture, Food Science and Big Data
    • An overview of AgTech and Food Science
    • Sociology and digital transformation
  • TU2 - IT Data Management
    • Excel spreadsheets
    • Databases and SQL
    • Project management
  • TU3 - Marketing and Business Analytics 
    • Data marketing
    • Business strategy and datavisualization
  • TU4 - Data Analysis applied to Food Science
    • Data Analysis
    • Data Mining
  • TU5 - Software Engineering
    • Excel programming, VBA
    • Advanced programming
  • TU6 - Survey Methods
    • Unstructured Data, Multiple Correspondance Analysis
    • Survey Consumers data Analysis, text mining & NLP
  • TU11 - Cross fields
    • AgoraJob / Professional CV
    • French foreign language
  • TU7 - Connected A g &Food
    • Precision agriculture
    • GIS Software, image processing
  • TU8 - Big data, IoT and property rights
    • Massive data processing and IoT
    • IT security and data property rights
  • TU9 - Machine Learning Methods
    • Machine learning and deep learning
    • Modeling
  • TU10 - Data Project for Agriculture & Food Science
  • TU11 - Cross fields
    • AgoraJob / Professional CV
    • French foreign language
  • Four-month internship in the framework of an internship agreement or a professional training contract in companies such as NatUp, SODIAAL, Promize (ISAGRI), Evolution XY or Agrial Maïsadour.
  • A 4-week mission set by the companies and supervised by professionals

Admissions

  • French or non-French applicants with a first-year Master's or a Bachelor's from another country specializing in biology, ecology or life and earth sciences; agricultural engineer; informatics and mathematics.
  • Exceptionally, students with a Bachelor's degree or equivalent whose outstanding academic results or professional experience guarantee their success on the program.

Application deadline: September 1, 2022
Next school year: September 15, 2022

Access the application form

 

 

Professions and opportunities

 

  • Data Scientist - Data Miner
  • Chief Data Officer
  • Master Data manager
  • Data designer
  • Data / Business Analyst
  • Designer-developer
  • Epidemiologist (animal and plant)
  • Animal Health Observatory Manager
  • Agronomy student
  • Agricultural Machinery Designer
  • Consultant

Documents

Contact

Céline JACQUEMOIRE
In charge of orientation and admission (Rouen campus)
+33 (0)2 32 82 91 47