Master Informatique — Machine Learning pour la science des données

Université Paris Cité offers a Master Informatique with a track in Machine Learning pour la science des données, or machine learning for data science, as a two-year master's degree taught in French in Paris, France, starting in September with annual tuition of 250 EUR. This branch of computer science focuses on developing and applying algorithms that allow computer systems to identify patterns in data and make predictions or decisions without being explicitly programmed for each task. Coursework typically covers the mathematical and statistical foundations of machine learning, including probability, linear algebra, and optimization, alongside practical training in algorithms such as regression, classification, clustering, and neural networks. Students usually learn how to work with large datasets, including data cleaning, preprocessing, and the tools used to store and process data at scale, since data science depends heavily on the quality and structure of the underlying data. Programming skills are central to this kind of program, with students typically gaining hands-on experience implementing and evaluating machine learning models using standard programming languages and libraries. Coursework may also address the interpretation and communication of results, since data science work often requires explaining technical findings to non-specialist audiences. Group projects and internships commonly give students the opportunity to apply machine learning methods to real datasets from industry or research settings. Graduates of this kind of specialization typically pursue careers as data scientists, machine learning engineers, or data analysts across sectors such as technology, finance, and industry. Because the program is delivered in French, strong French language proficiency is needed throughout the two years of coursework and assessment in Paris.