Master Informatique — Machine learning

For Master Informatique — Machine learning, tuition comes to 292 USD per year.

Machine learning is a specialization within the Master Informatique at Université de Lille, in Villeneuve D'Ascq, France. This track within computer science focuses on the algorithms and methods used to build systems that learn patterns from data, covering subjects such as statistical learning theory, supervised and unsupervised learning methods, neural networks, and the practical techniques used to train, evaluate, and deploy machine learning models. Students typically study mathematics and statistics relevant to learning algorithms, programming for data-driven systems, and applied projects that put these methods to work on real datasets. Graduates from this kind of program commonly move into roles such as machine learning engineer, data scientist, research and development positions in artificial intelligence, or software engineering roles focused on building data-driven products. The technical depth of the training also supports further doctoral research in machine learning or artificial intelligence for students aiming at academic or advanced research careers, alongside industry roles across technology, finance, and other data-intensive sectors. The program spans two years and leads to a master's degree, taught in French, so applicants should have a solid command of the language for coursework combining mathematics, statistics, and programming. The academic year begins in September. Yearly tuition is 250 EUR, in line with fees at French public universities. Students interested in building systems that learn from data may find this specialization at Université de Lille a relevant route into machine learning and artificial intelligence work.