Master Mathematiques Et Applications — Statistique

The Statistique track within the Master Mathematiques Et Applications at Universite de Strasbourg trains students in the mathematical and computational methods used to analyze data and draw conclusions under uncertainty. Coursework in a statistics discipline typically covers probability theory, inferential statistics, regression and modeling techniques, and increasingly, the statistical foundations of machine learning. Students also work with statistical software and programming languages to apply these methods to real datasets, since modern statistics is as much about computation as it is about theory. The field connects closely to related areas such as data science and econometrics, and many statistics programs include coursework that overlaps with these neighboring disciplines, covering topics like experimental design, time series analysis, and multivariate methods. Graduates of statistics master's programs commonly work as statisticians, data analysts, or biostatisticians in sectors including public health, insurance, finance, market research, and technology, while others go on to doctoral research in statistics or applied probability. The program is a two-year master's degree delivered in French at Universite de Strasbourg, in Strasbourg, France, with an intake in September and yearly tuition of 250 EUR. Because statistics depends on a solid grounding in probability and mathematical reasoning, students entering this track usually arrive with an undergraduate background that included calculus, linear algebra, and introductory probability or statistics. Strasbourg, as a university city with a long-established mathematics department, offers students in this discipline access to coursework spanning both the theoretical foundations of statistics and its applications across other fields represented within the broader Mathematiques Et Applications program.