MSc – Master en Intelligence Artificielle is a Masters program taught at Ecole Pour l'Informatique et les Techniques Avancees, France. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (18 months) options.
The MSc in Artificial Intelligence at the Ecole Pour l'Informatique et les Techniques Avancees is designed to equip students with advanced knowledge and skills in the field of artificial intelligence. This program covers a range of topics including machine learning, deep learning, natural language processing, and robotics. Students will engage in hands-on projects and research, which will provide practical experience and exposure to cutting-edge technologies.
The program structure typically includes core courses that lay the foundation of AI knowledge, elective courses that allow for specialization in various subfields, and a thesis project where students can investigate and create innovative applications of AI. This blend of theoretical understanding and practical application is vital for navigating the evolving landscape of technology.
By studying in this destination country, known for its technological advancements and vibrant innovation ecosystem, students will have access to a wealth of resources, industry connections, and collaborative opportunities. The multicultural environment fosters a unique perspective, enhancing the learning experience and preparing students for a global career.
The minimum requirements for admission in MSc – Master en Intelligence Artificielle at Ecole Pour l'Informatique et les Techniques Avancees for all applicants (Domestic or International) are:
Note: Please check the university website in the link below.
Applicants to the MSc in Artificial Intelligence are expected to hold a recognized undergraduate degree in computer science, engineering, or a related field. A solid foundation in programming, mathematics, and statistics is essential. Candidates should demonstrate analytical problem-solving skills and a commitment to advancing in the field of artificial intelligence.
Non-native English speakers must demonstrate proficiency in English, typically through standardized tests. A common requirement is an IELTS score of 6.5 or equivalent, with no individual band lower than 6.0, or a TOEFL score of 90 with minimum sub-scores. Familiarity with technical English in the context of computer science is advantageous.
Please check detail of study units at https://www.epita.fr/nos-formations/
28 fully funded scholarships are listed for France. See France scholarships.