Formations aux applications du spatial

International Master in Communications Engineering and Data Science (CoDaS)

• Organisme : Grenoble INP - Ensimag
• Voie de formation : Formation initiale
• Langue(s) utilisée(s) pour la formation : Anglais
• Lieu : Grenoble (Région : Auvergne-Rhône-Alpes)
• Diplôme préparé/grade/titre : European Master ou Master Européen
• Niveau d'entrée minimum : Bac + 3
• Cette formation est inscrite au RNCP / RS

Détails de la formation

Objectifs : Master’s Programme in Communications Engineering and Data Science (CoDaS) is an international joint master’s degree programme offered by five European universities:
Aalto University, Finland
Grenoble INP Graduate schools of Engineering and Management, France
Technical University of Lisbon, Portugal
Technische Universität Braunschweig, Germany
Universitat Politècnica de Catalunya, Spain

In this two-year master’s programme, you will study at least in two of partner universities and two countries, one year at both.

CoDaS is an Erasmus Mundus Joint Masters (EMJM) programme, funded by Erasmus+ Programme of the European Union.

The objectives of the joint CoDaS M.Sc. are the following:
- to strengthen student education in the key area of Communications Engineering and Data Science with foreseen major future impact,
- to contribute to the graduation of engineers in the already much needed area of the degree, putting together the competences of telecommunications and data analysis,
- to offer a variety of courses on complementary specializations at the Partners: 5G and Automation at Aalto U., Data Science and 5G at U. Lisboa, and CyberSecurity at Grenoble INP,
- to address current and future challenges related to Information and Communication Technologies and sustainable development,
- contribution to the goals of the European Union Digital Strategy.

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

Site web dédié : https://ensimag.grenoble-inp.fr/fr/formation/international-master-in-communications-engineering-and-data-science-codas#page-presentation

Techniques spatiales et outils

• Traitement et Analyse des données (Traitement signal et image, méga données, apprentissage, intelligence artificielle...)
• Télécommunications (Communications spatiales, Technologies de l'Information et des Communications, Internet des Objets)