MSc in Engineering Maths in Action (MAEA): Mathematics and Machine Learning for Engineering at Mines Saint-Étienne

Programme overview

One-year M2 co-accredited by Mines Saint-Étienne and Université Jean Monnet, training engineers and researchers in applied mathematics, numerical simulation, high-performance computing and machine learning for complex industrial and scientific problems.

Faculty: Mines Saint-Étienne (co-accredited with Université Jean Monnet) | Department: Applied Mathematics | Duration: 1 year (M2), 60 ECTS | Study mode: full-time; taught mainly in French | Location: Saint-Étienne, Auvergne-Rhône-Alpes, France

What you will study

Three core courses cover applied analysis (functional analysis, PDE methods), stochastic modelling and statistical learning, and numerical methods, followed by projects, case studies and a research or R&D internship.

Career pathways

Graduates work in modelling, numerical simulation and machine learning roles in industry and research.

Official programme page

Application information

Entry requirements

Completed M1 or equivalent (240 ECTS) in mathematics, applied mathematics, scientific computing, physics or engineering with a strong mathematical component, with strong foundations in analysis, algebra and probability. Instruction primarily in French; understanding of scientific English recommended.

Domestic applicants: EUR 254 a year. EU/EEA/Switzerland students. National regulated tuition for a national Master's degree in a public institution (set by the Ministry); CVEC and insurance are separate. Source

International applicants: EUR 3,941 a year. Non-EU students. National regulated tuition for a national Master's degree in a public institution (set by the Ministry); CVEC and insurance are separate. Source

Duration: 1 year (M2), 60 ECTS

STEM

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Engineering