The Master of Science "Agricultural & Food Data Management" is at the interface between high technology and agriculture & food. This ranges from the processing of data retrieved by connected objects such as drones, satellites, tablets, telephones, data on the behavior of players in a sector, to the management and analysis of massive data for decision support.
By 2020, Big Data will be revolutionizing business, whether in management, R&D or marketing. The rapid development of digital technology is creating a new business for agriculture, and calling for new skills. The aim of the Master of Science is to train Data Scientists for the agricultural and agri-food sectors.
Presentation
Objectives
- Forge expertise in Big Data management, which has become a key factor in business performance and growth;
- 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 fields such as plant nutrition and plant and animal epidemiology.
Key information
- Course duration: 12 months
- Language of instruction: English
- Recruitment from Bac+4 / Bachelor / Licence + professional experience
- Admission: initial training, professional/alternative contracts, continuing education
- Training location: 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 as part of an internship agreement or professional training contract with companies such as NatUp, SODIAAL, Promize (ISAGRI), Evolution XY or Agrial Maïsadour.
- A 4-week assignment set by the company and supervised by professionals
Admissions
- French or foreign candidates who have completed an M1 or a foreign Bachelor's degree with a major in biology, ecology, life and earth sciences; agricultural engineers.
- By way of exception: students with a L3 or equivalent diploma whose academic or professional experience guarantees the excellence of the course.
Application deadline: September 2023
Next school year: September 2023
Jobs and career 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 research officer
- Agricultural machinery designer
- Consultant
Documents
Admissions - Rouen campus