Master Informatique — Machine Learning, Intelligence artificielle et Données (MIND)

For Master Informatique — Machine Learning, Intelligence artificielle et Données (MIND), tuition fees are 250 EUR per year.

Machine learning and data science form one of the most active areas within computer science, concerned with methods for extracting patterns from data and building systems that learn and make predictions from experience rather than following fixed rules. The MIND track, standing for Machine Learning, Intelligence artificielle et Données, within the Master Informatique at Sorbonne Université in Paris, France, centers on this area. Students in this kind of specialization typically study statistical learning methods, neural networks and deep learning, data management and processing at scale, and the mathematical foundations of optimization and probability that underpin modern machine learning. Coursework often includes practical work building and evaluating models, handling large datasets, and applying machine learning techniques to problems in areas such as natural language processing, computer vision, or recommendation systems. Graduates from this specialization pursue careers as machine learning engineers, data scientists, and artificial intelligence researchers in technology companies, research labs, and organizations across finance, healthcare, media, and other data-intensive sectors. Some continue toward doctoral research in machine learning or artificial intelligence. The program is a two-year master's degree, taught in French, beginning in September, with a yearly tuition of 250 EUR. This path suits students with strong mathematical and programming skills who want to specialize in building systems that learn from data, combining theoretical grounding in statistics and algorithms with hands-on experience designing and training models for real-world applications.