Master in Fundamental Physics: Complex Systems (i-PCS) 24 months Postgraduate Programme By Université Paris Cité |TopUniversities
Subject Ranking

# 151-200QS Subject Rankings

Programme Duration

24 monthsProgramme duration

Main Subject Area

Physics and AstronomyMain Subject Area

Programme overview

Main Subject

Physics and Astronomy

Degree

Other

Study Level

Masters

Study Mode

On Campus

The international Master « Physics of Complex Systems » is a two-year French-Italian program (M1 & M2), jointly operated by Universities Paris-Saclay, Sorbonne Université and Université Paris Cité, together with Politecnico di Torino, SISSA and ICTP in Trieste, Italy. It is possible to join the Physics of Complex System master at the M2 level.

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 ».

Programme overview

Main Subject

Physics and Astronomy

Degree

Other

Study Level

Masters

Study Mode

On Campus

The international Master « Physics of Complex Systems » is a two-year French-Italian program (M1 & M2), jointly operated by Universities Paris-Saclay, Sorbonne Université and Université Paris Cité, together with Politecnico di Torino, SISSA and ICTP in Trieste, Italy. It is possible to join the Physics of Complex System master at the M2 level.

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 ».

Admission Requirements

5+
Bachelor degree in physics, mathematics, and engineering. Language pre-requisites: B2 level of English with IELTS 5.0.

2 Years
Sep

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