Master Mathematiques Appliquees, Statistique — Image, Optimisation, et sciences des Données

Tuition costs 250 EUR per year.

Working with images, optimization methods, and data science together forms a specialization within applied mathematics that blends theory with practical computational tools. This master's track, Image, Optimisation, et sciences des Données, is delivered by Université de Bordeaux in Talence, France, and situates itself within the wider discipline of applied mathematics and statistics. Typical subjects include image processing and analysis, optimization theory and algorithms, statistical learning, and the mathematical foundations of data science, such as linear algebra, probability, and numerical methods. Students commonly work on projects involving image reconstruction, pattern recognition, or optimization problems drawn from engineering and industry, learning to translate applied questions into mathematical formulations that can be solved computationally. Because the specialization sits at the intersection of mathematics, computer vision, and data analysis, coursework often overlaps with computer science, requiring competence in programming as well as mathematical reasoning. All teaching is conducted in French, so a solid command of the language is expected for lectures, technical reports, and collaborative project work. After graduating, students commonly move into roles such as data scientist, image processing engineer, or optimization specialist across sectors including healthcare imaging, industrial engineering, and technology, while others pursue further research through doctoral study. The blend of image analysis and optimization also opens paths into applied research positions within companies developing computer vision or decision-support tools. The program runs for two years and starts in September, following the standard French academic calendar. Yearly tuition is 250 EUR. Applicants typically hold an undergraduate degree in mathematics, computer science, or a related quantitative discipline.