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Master Informatique, Parcours Infomatique et Big Data et Parcours Ingénierie en Intelligence Artificielle

Course Details

Objectives : The master's degree in Computer Science offers two courses in the first year of the master's degree (M1):
- IT and Big Data course
- Engineering course in Artificial Intelligence

These two M1 courses allow you to move towards the four courses offered in the 2nd year of the master's degree (M2):
Big Data course (BD)
IT Project Management (CPI) course
Artificial Intelligence Engineering (I2A) course
Hypermedia Technologies Course (THYP)

The main objectives of the lessons in the M1 Computer Science and Big Data course are to consolidate the common base of the M2 BD, THYP and CPI courses and to expand to new skills and prepare for these different courses according to the options selected.

The lessons offered in the M1 Engineering in Artificial Intelligence course will provide training in learning techniques, symbolic AI techniques and knowledge representation, bio-inspired optimization metaheuristics, data processing, etc. They also aim to prepare for the M2 I2A course.

This courses involve a work-study project.

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

Partnerships with national organisations : CFA AFIA

Dedicated web site : https://www.univ-paris8.fr/-Domaine-sciences-technologies-sante-

Space Technologies and Scientific Disciplines