Master Mathematiques Appliquees, Statistique

At Université Rennes 2, in Rennes, France, the Master Mathematiques Appliquees, Statistique trains students in applied mathematics and statistical methods. The discipline covers the mathematical and computational techniques used to model uncertainty and analyze data across scientific, industrial, and financial contexts. Common subjects include probability theory, statistical inference, regression and multivariate analysis, numerical computation, and the use of statistical software and programming for data analysis. Depending on the program's specific focus, students may also study topics such as time series analysis, survey sampling methods, or the statistical foundations of machine learning. The field requires both a solid grounding in theoretical mathematics and practical skill in applying statistical tools to real data sets drawn from fields such as public health, economics, industry, or the social sciences. Graduates from programs in this discipline commonly work as statisticians, data analysts, or research assistants in organizations that rely on quantitative analysis, including government statistical agencies, research institutes, insurance companies, and private firms with data-driven operations. Some continue toward doctoral research in mathematics, statistics, or a related quantitative field. The program is taught entirely in French, runs for two years, and has an inferred start date in September, so applicants should have strong French language skills alongside their mathematical background. Yearly tuition is 250 EUR. Located in Rennes, a university city in Brittany, France, the master's degree is aimed at students who already hold an undergraduate qualification in mathematics, statistics, or a closely related field and wish to deepen their expertise in applied statistical methods.