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Space Education Catalogue

Mastère Spécialisé® Artificial Intelligence & Business transformation (AIBT)

• Organisation : ISAE-SUPAERO
• Way of training : Initial education - Life-long learning
• Language(s): English
• Place: Toulouse (French Regions: Occitanie)
• Prepared diploma/grade/title: Advanced Master (Label of the Conférence des Grandes Ecoles)
• 1st required level : French baccalauréat + 5
• VAE (Validation of Acquired Experiences): Yes
• This training is included in RNCP / RS

Course Details

Objectives : The Specialized Master® "Artificial Intelligence & Business transformation" is part of the necessary transformation of companies through data, in particular via artificial intelligence. This program prepares for emerging jobs via training accessible on a part-time basis to technical, IT, data...

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

Admission requirements : Master's degree (or equivalent) or equivalent (Master 2 or equivalent) with at least 3 years of significant professional experience.
As an exception, a Bachelor's degree (or equivalent) with no professional experience or a Bachelor's degree (or equivalent) with at least 3 years of significant professional experience may be considered.

Duration and terms : 1 to 2 weeks per month for 10 months alternating with a professional assignment (part-time, work placement or apprenticeship).

Notes : The training allows you to acquire a Specialized Master's® diploma accredited by the Conference of Grandes Ecoles, as well as a professional certification "Project Manager in Artificial Intelligence and Data Science (MS)" registered with the RNCP n°40551, level 7 (EU), NSF codes 326.

Partnerships with national organisations : ANITI, Midisup, TBS Education et l’IRT Saint-Exupery

Dedicated web site : https://www.isae-supaero.fr/offre-de-formations/mastere-specialise-artificial-intelligence-and-business-transformation-aibt/#onglet-lessentiel

Disciplines

• Engineering Sciences
• System Engineering, Programme Management, Production

Topics

• 11 - Data Sciences: Applied Mathematics, Signal and Image Processing, Cryptography, Artificial Intelligence (machine learning, big data, etc.), Computer Science, Cloud, Software Engineering, Virtual Reality, Virtualization, Digital Twins, Metaverse, etc.