Space applications
training courses

Mastère Spécialisé Valorisation des Données Massives - VALDOM

• Organisations :
  • Toulouse INP - ENSEEIHT
  • INSA Toulouse
  • Toulouse INP Formation Continue et Professionnelle
• Way of training : Life-long learning - Sandwich/Apprenticeship training
• Language(s): French
• Place: Toulouse (French Regions: Occitanie)
• Prepared diploma/grade/title: Advanced Master (Label of the Conférence des Grandes Ecoles)
• 1st required level : French baccalauréat + 5

Course Details

Objectives : This Specialized Master's degree® spouse is co-accredited by ENSEEIHT and INSA Toulouse.

It focuses on the processing and enhancement of massive data, favouring a multidisciplinary version of computer science and data sciences and combining scientific and operational learning through project-based learning and strong involvement of partner companies.

Public concerned : students, professionals, job seekers

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

Prerequisites : Bac - 5 - Engineer, Master's degree or degree at the bac -5 equivalent in mathematics or computer science
Bac 4 with at least 3 years of experience in computer science or mathematics

Acquired skills during the training : The originality of the training is to address a broad spectrum of skills in computer science, data science and optimization.

Targeted careers : The training will address the technical and legal aspects that meet the expectations of the following professions: data scientist, data engineer, data manager, data analyst, project manager, decision-making computer engineer, quality control manager.

Duration and terms : 1 year

Dedicated web site : https://formation-continue.inp-toulouse.fr/fr/formations/mastere-specialise-7/informatique-et-sciences-du-numerique-info2/mastere-specialise-valorisation-des-donnees-massives-JILJ9GN0.html

Dedicated web site : https://www.insa-toulouse.fr/masteres-specialises/ (INSA Tlse)

Space Technologies and Scientific Disciplines

• Data processing and analysis (Signal and image processing, big data, learning algorithms, artificial intelligence...)