Artificial Intelligence and Data Science

Explore the programs and courses offered by Artificial Intelligence and Data Science

Browse Programs Admission Information

Program Overview

The "Artificial Intelligence and Data Science" major we offer is a high-level, specialized graduate program in Computer Science, designed for students preparing for careers in industry and research. The program's mission is to deepen students' knowledge in these essential areas of modern technology. First, it aims to strengthen their understanding of the fundamental theories and practical applications of artificial intelligence, particularly with regard to machine learning algorithms, deep learning, and natural language processing. At the same time, it seeks to develop students' advanced technical skills for collecting, managing, analyzing, and interpreting massive data using sophisticated tools and methods. In this context, the program also aims to prepare students to design and implement effective artificial intelligence systems and predictive models to solve complex problems encountered in various application areas, such as healthcare, finance, and logistics.

At the same time, the program encourages research and innovation, offering students the opportunity to participate in research projects, internships, and collaborations with industry. By exposing them to practical projects, real-life case studies, and collaborations with companies and organizations, it allows them to develop practical skills and familiarize themselves with the real-world challenges faced by AI and data science practitioners.

Finally, a key objective is to develop leaders capable of making strategic decisions, managing complex projects, and innovating in the field of AI and data science. To this end, the program encourages a critical and analytical approach to evaluating emerging technologies, modeling methodologies, and application strategies, ensuring that graduates are prepared to address current and future challenges in the field ethically, innovatively, and effectively.

Teaching Language : English and French

Curriculum Highlights

Core Courses

1. Mastery of advanced machine learning and deep learning techniques for the design and implementation of predictive models and artificial intelligence systems.

2. Advanced technical skills in programming (particularly Python), data manipulation, and the use of specialized tools such as TensorFlow and scikit-learn.


Advanced Topics

  1. The ability to analyze complex datasets, apply advanced statistical methods, and use data visualization techniques to extract useful insights.
  2. Data engineering skills, including collecting, cleaning, and preparing data for analysis and model training.
  3. Preparation for a variety of professional roles, such as data scientist, data analytics consultant, or artificial intelligence researcher, by combining technical, analytical, ethical, and communication skills.


Admissions Information

The candidate must have one of the following degrees:

  • Bachelor's degree in Computer Systems
  • Bachelor's degree in Computer Systems and Software Engineering
  • Bachelor's degree in Software Engineering
  • Bachelor's degree in Distributed Systems
  • Other degrees: application review
Apply Now