Explore the programs and courses offered by Data Sciences and Artificial Intelligence
Browse Programs Admission InformationThe Artificial Intelligence and Data Science Engineering program at the National School of Artificial Intelligence (ENSIA) is a comprehensive five-year post-baccalaureate degree consisting of a two-year preparatory cycle and a three-year second cycle. The curriculum is designed to provide students with strong foundations in mathematics, statistics, and computer science while developing specialized skills in AI and data science. Through a balanced approach of theoretical knowledge and practical application, students learn to master computational techniques and tools for data exploitation across various domains including healthcare, finance, industry, and agriculture. The program emphasizes not only technical competencies but also soft skills such as entrepreneurship, project management, problem-solving, and teamwork. With a focus on innovation and entrepreneurship, graduates are prepared to become versatile professionals capable of finding optimized solutions to complex problems in diverse socio-economic sectors, whether as engineers, data analysts, AI researchers, or technology entrepreneurs.
The AI and Data Science Engineering program builds on a strong foundation of essential courses designed to develop comprehensive expertise in both theoretical concepts and practical applications. The core curriculum includes fundamental mathematics courses (Foundational Mathematics, Linear Algebra, Mathematical Analysis, and Mathematical Logic) which establish the analytical framework necessary for advanced AI work. Computer science fundamentals are covered through Data Structures and Algorithms, Object-Oriented Programming, and Operating Systems. The program progressively introduces specialized AI and data science courses including Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Reinforcement Learning. Statistical courses such as Probability, Statistical Inference, and Time Series Analysis equip students with tools for data analysis. Throughout the five-year program, students also engage in practical projects and internships that culminate in a comprehensive final year project demonstrating their ability to apply acquired knowledge to real-world problems.
Building on the core curriculum, the program offers a selection of advanced subjects that represent the forefront of AI and data science. The Big Data Analytics & Visualization course focuses on processing and extracting insights from large-scale datasets, while High Performance Computing covers parallel processing and optimization techniques for computationally intensive applications. The curriculum extends into specialized fields such as Wireless Communication Networks and Systems, Speech Processing, and Introduction to Mobile Robotics, showcasing AI’s transformative applications in various domains.
To keep students updated on emerging trends, the program includes the Selected Topics in AI/Technology module, which explores the latest advancements in artificial intelligence and its evolving applications across industries. These advanced courses ensure graduates are equipped with cutting-edge knowledge and skills to excel in the rapidly evolving AI landscape.
To be eligible for admission, candidates should demonstrate a strong academic background, particularly in mathematics, computer science, or related fields. Proficiency in analytical thinking and problem-solving is essential, as these skills are fundamental to excelling in AI studies.
Applicants are typically required to provide their academic transcripts, proof of language proficiency (in French or English), and a motivation letter highlighting their interest in AI. Additional assessments or interviews may be conducted as part of the selection process. We encourage international students to check our website regularly for detailed application guidelines and deadlines.