Bachelor's in Intelligence Artificielle

Intelligence Artificielle is a Bachelor program taught at Ecole des technologies numeriques appliquees, France. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (3 years) options.

The Bachelor's Degree in Artificial Intelligence at École des Technologies Numériques Appliquées equips students with a robust foundation in AI, machine learning, and data science. Throughout the course, students engage with various theoretical and practical aspects of artificial intelligence, enabling them to understand and apply cutting-edge technology in real-world scenarios.

The curriculum is designed to blend core AI principles with hands-on projects. Students work on programming languages such as Python and R, as well as AI frameworks like TensorFlow and PyTorch. They explore algorithms, neural networks, and data analysis techniques that are essential for developing intelligent systems. Practical coursework focuses on real-world applications, allowing students to gain experience in problem-solving and innovation.

Studying AI in the destination country offers a unique advantage, as it is at the forefront of technology and innovation. The diverse cultural environment and collaboration opportunities with local tech companies enhance learning experiences, preparing students for a global career in AI.

The minimum requirements for admission in Intelligence Artificielle at Ecole des technologies numeriques appliquees for all applicants (Domestic or International) are:

• program specific academic requirment set by Ecole des technologies numeriques appliquees.
• English Language OR any other language requirments as set by Ecole des technologies numeriques appliquees as pre-requiste for admission in Intelligence Artificielle.

Note: Please check the university website in the link below.

To be considered for the Bachelor's Degree in Artificial Intelligence, applicants typically need to have completed secondary education with a strong emphasis on mathematics and science. Relevant qualifications, such as A-levels or equivalent, are preferred. A background in IT or computer science will be advantageous, but not mandatory.

Students are generally required to demonstrate proficiency in English, typically through IELTS with a score of around 6.0 or equivalent TOEFL scores. This ensures that all students are capable of engaging with the course material effectively and communicating well in an academic setting.

Please check detail of study units at https://etna.io/formation/initial/

• Data Scientist
• Machine Learning Engineer
• AI Researcher
• Software Developer in AI
• Business Analyst
• Systems Architect

38 fully funded scholarships are listed for France. See France scholarships.