Formations aux applications du spatial

International Graduate Program: Big Data & Data Science

• Organisme : Mines Nancy
  (Université de Lorraine)
• Voie de formation : Formation initiale - Formation continue
• Langue(s) utilisée(s) pour la formation : Anglais
• Lieu : Nancy (Région : Grand-Est)
• Diplôme préparé/grade/titre : MSc : Master of Sciences (Label de la Conférence des Grandes Ecoles)
• Niveau d'entrée minimum : Bac + 4
• Cette formation est inscrite au RNCP / RS

Détails de la formation

Objectifs : A combined Math and Computer Science Master Program

This International Program offered by Mines Nancy on «Big Data and Data Science» has the unique feature of being directed by both the Mathematics and the Computer Science Department, thus guaranteeing an outstanding level in both domains. It is associated with the IECL and Loria facilities conducting world class research in these areas. The program is also sponsored by Saint-Gobain Research within the «Big Data Chair» agreement with Mines Nancy.

The «Big Data and Data Science» curriculum is both a Master level program for the French students at Mines Nancy, and a track for foreign exchange students. While the courses are given in English for convenience, students are entirely integrated with French students during sessions and have the opportunity to fully experience French way of life and studies.

Public concerné : Students

Niveau de Diplôme (UE) : 7 - (Niveau CEC ou équivalent)

Conditions d'admission (diplômes) : Candidates should have achieved at least 4 years of higher education or M1 with a solid background in mathematics, statistics, computer science, engineering science.

Partenariat(s) français : Institut Élie Cartan de Lorraine, Lorraine Research Labo in Computer Science and its applications

Site web dédié : https://mines-nancy.univ-lorraine.fr/formation/international-graduate-program-big-data-data-science/

Techniques spatiales et outils

• Traitement et Analyse des données (Traitement signal et image, méga données, apprentissage, intelligence artificielle...)
• Observation de la Terre (Télédétection, SIG, géomatique)