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Specialty - Machine learning and optimization of complex systems (AOS)

The AOS master’s degree course focuses on learning theory/practice and optimization, as applied to autonomous interacting technology-intensive systems, the so-called systems of systems (SoS). These SoS are found in ‘smart‘ vehicles able to communicate with each other, with smart transport system infrastructures, with airborne mini drones, and with sensor networks that exchange data in real time. The systems studied implement machine learning, decision-making and action capabilities while interacting with their environment and with other systems. They must also be able to handle numerous sources of uncertainty that can impact performance and, consequently, how well the whole system functions. The French government awards a ‘Laboratory of Excellence’ (Labex) quality label to a small number of research institutions of particular merit, and the award of this label also depends on the quality of the teaching dispensed. This master’s degree is an integral part of UTC’s Labex relating to systems of systems.

Course contents

The course seeks to give students the knowledge and skills for designing, studying andimplementing complex systems like these, and focuses on the following aspects of IT andsystems:

  • optimization, operations research (OR)
  • data analysis, machine learning and deep learning protocols
  • decision-making theory, robust optimization and stochastic programming
  • complex systems, systems of systems (SoS)

Professional objectives

Conferring scientific and technological knowledge and skills of the highest level centred on systems learning protocols and optimization, equipping graduates for the design and modelling of innovative systems of systems (SoS), using a multidisciplinary approach.

Professional opportunities

Students who successfully complete this AOS master's degree may choose to pursue a PhD,or to apply for professional positions in public or private research activities, in development and innovation as research scientists and experts, project managers, data scientists, etc.

Contact

Responsable du parcours
Dritan Nace
Phone : 03 44 23 43 02 | Contact by email

Responsable Master
Pierre Morizet
Contact by email

Secrétariat
Francoise Meresse
Phone : 03 44 23 79 53 | Contact by email

Formation continue
Phone : 03 44 23 46 29

Plaquette du master

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Guide de l'Etudiant

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