Université de Bordeaux

Master Mathematiques Appliquees, Statistique — Modélisation numérique et simulation

Talence Cedex, France2 yearsTaught in FrenchOpen to international students

About the Program

Applied mathematics and statistics form a discipline concerned with using mathematical tools to model, analyze, and predict phenomena across science, engineering, and industry. This master's specialization, Modélisation numérique et simulation, is offered by Université de Bordeaux in Talence, France, and focuses that broad field on building and running numerical models that simulate physical or engineering systems. Typical coursework covers numerical analysis, differential equations, scientific computing, programming for simulation, and methods for validating models against real data, alongside the applied mathematics foundations that support them, such as linear algebra and optimization. Students generally work on computational projects that translate physical or engineering problems into equations a computer can solve, then interpret and refine the resulting simulations. Because numerical simulation underpins fields from aerospace and energy to climate science and finance, the discipline connects closely to computer science, physics, and engineering, and students often need solid programming skills alongside mathematical ones. All instruction is in French, so applicants need a good command of the language to follow lectures, technical documentation, and project work conducted in French. Career paths for graduates commonly include roles as simulation engineers, numerical analysts, research and development positions in industry, and further academic research through doctoral study. Others move into data-intensive roles in sectors such as aerospace, energy, or engineering consulting, where simulation expertise is directly applicable. The program is structured over two years and begins in September, in line with the standard French academic calendar. Yearly tuition is 250 EUR. Students entering this specialization usually hold a solid undergraduate background in mathematics or a closely related quantitative field.

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