Space applications
training courses

Master mention Géomatique, parcours Système d'information géographique et analyse des territoires (SIGAT)

• Organisation : UFR de Sciences sociales - Département de géographie et aménagement de l'espace (Rennes 2 )
  (Université de Rennes 2)
• Way of training : Initial education - Life-long learning
• Language(s): French
• Place: Rennes (French Regions: Bretagne)
• Prepared diploma/grade/title: Master or DNM: French National Master Degree
• 1st required level : French baccalauréat + 3
• This training is included in RNCP / RS

Course Details

Objectives : Train professionals from the analysis of territories capable of designing and piloting an infrastructure-type GIS (Geographic Information System).

Public concerned : Students

Degree Level (EU) : 7 - (EQC level or equivalent)

Admission requirements : Master 1: direct access to the licensed development, geography
access validation for other licenses or French equivalent diplomas

Master2: Access subject to obtaining a Master or benefit of validating an equivalent qualification, or skills related to professional experience.

Duration and terms : 4 semesters

Notes : The content of the SIGAT training focuses on the processing chain of geographic information in a management and analysis of the territories context. It relies on professional workshops, conferences and the production of two workplace internship.

Students from the Master find insertion possibilities as a GIS project manager, research officer, director of GIS services in many institutions: local authorities, planning agencies, and technical services of the urban planning, geo-marketing companies, ..

Dedicated web site : https://formations.univ-rennes2.fr/fr/formations/master-37/master-mention-geomatique-parcours-systeme-d-information-geographique-et-analyse-des-territoires-sigat-JEOC8L9A.html

Applications

• Environment and Land Management (Environmental protection, agriculture, biodiversity, climate changes; Resources, land-use planning, infrastructures)

Space Technologies and Scientific Disciplines

• Data processing and analysis (Signal and image processing, big data, learning algorithms, artificial intelligence...)
• Earth observation (Remote sensing, GIS, geomatics)