Master Ingenierie Des Systemes Complexes — Apprentissage et optimisation des systèmes complexes (AOS)

At Université de technologie de Compiègne, tuition is 292 USD per year.

Master Ingénierie des Systèmes Complexes, with a specialization in Apprentissage et optimisation des systèmes complexes, belongs to the field of engineering applied to complex systems, with a focus on machine learning and optimization methods. Programs in this area train students to model, analyze, and improve systems made up of many interacting components, drawing on techniques from applied mathematics, computer science, and control theory. Typical coursework covers machine learning algorithms, optimization methods, systems modeling, data analysis, and applied projects that use learning-based approaches to improve the performance of complex technical systems. Students generally combine theoretical study of algorithms with hands-on project work applying these methods to engineering problems. Graduates trained in complex systems engineering with a focus on learning and optimization typically work in industries that rely on data-driven modeling and automation, including manufacturing, transportation, energy, and technology sectors, as well as research and development roles applying machine learning to engineering problems. Some continue toward doctoral research in applied mathematics, computer science, or systems engineering. This master's degree is offered by Université de technologie de Compiègne, located in Utc - Compiègne, France. The program runs for two years, with a start date in September, and yearly tuition of 250 EUR. Instruction is delivered in French, meaning students study the mathematical and computational foundations of complex systems engineering through French-medium coursework and applied projects throughout the degree.