M2 Complex systems
The goal is to provide a state-of-the-art research-oriented education in fundamental physics. Complex systems are thereby studied with the tools of statistical physics at or out-of equilibrium, field theory, stochastic processes, dynamical systems, non-linear physics, inference techniques and computational approaches. These systems encompass complex networks, active matter, the interface between social sciences and physics, soft matter, biological systems, complexity in the quantum realm, or questions raised in the context of « big data » and « machine learning ».
We prepare students to do their PhD in one of the many university or industrial laboratories that deal with the physics and modelling of complex systems. Some students enter the private sector right after receiving their master's degree.
The programme is an extension of the fundamental physics course. The main prerequisite is a good standard in statistical physics, quantum physics and mathematics.
Grasp the notion of complexity in physics and related disciplines; understand the issues surrounding it and the questions it raises.
Proficiently use advanced theoretical tools in statistical and nonlinear physics, both theoretical and numerical.
Written (report writing) and oral communication.
Autonomy in the search for internships and theses.
Students graduating from the course have the ideal profile to embark on a doctoral programme that is predominantly experimental or theoretical, or that combines
the two aspects. There is a wide field of potential subject areas in which complexity and emerging phenomena are at work:
active matter, the junction between physics and social science, "soft" matter, biological systems, complex networks, statistical and non-linear physics in the broad sense, or even questions arising from "big data" or "machine learning" issues.
While some students enter the private sector at the end of the M2, the vast majority continue on to doctoral programmes.
A thesis then opens to way
into the private sector (R&D, control, consultancy, expertise) and the academic field.
Laboratoire de recherche en informatique
Fluides, Automatique et Systèmes Thermiques
Laboratoire de Physique des Solides
Laboratoire de physique théorique et modèles statistiques
Institut d'astrophysique spatiale
Laboratoire Aimé Cotton
Laboratoire de Physique Théorique
Maison de la Simulation - DRF
Centre de mathématiques et de leurs applications
Laboratoire des Signaux et Systèmes.
|Quantum field theory||3||26||0||0||0||0||0||0||0||0|
|Nonequilibrium and active systems||3||26||0||0||0||0||0||0||0||0|
|Advanced statistical mechanics||3||26||0||0||0||0||0||0||0||0|
|Advanced non-linear physics||3||26||0||0||0||0||0||0||0||0|
|Theoretical Physics Spring School of Complex Systems||12||112||0||0||0||0||0||0||0||0|
|Stochastic dynamics and energetics||3||28||0||0||0||0||0||0||0||0|
|Statistical field theory of complex matter||3||28||0||0||0||0||0||0||0||0|
|Out of equilibrium statistical physics||3||28||0||0||0||0||0||0||0||0|
|Interface physics/social sciences||3||28||0||0||0||0||0||0||0||0|
|Inference, learning & Big Data||3||28||0||0||0||0||0||0||0||0|
All transcripts of the years / semesters validated since the high school diploma at the date of application.
Choice sheet of M2 (obligatory for the candidates registered in M1 at the University Paris-Saclay) to download on https://www.universite-paris-saclay.fr/en/admission/apply-master-programmes.
VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).