Sciences

Physique Numérique (PhysNum)

  • ECTS

    120 credits

  • Duration

    2 years

  • Training structure

    Faculty of Science

  • Language(s) of instruction

    French

Presentation

The Digital Physics / Computational Physics Master's program is unique in France. It offers :

  • Dual skills in physics and computer science
  • A specialization inComputational Physics.

This program is aimed at students with an initial background in Physics, who wish to acquire a dual competence that will open up professional opportunities at bac+5 level. Graduates are specialists in "Numerical Physics", which deals with modeling and simulation in physics, and is a specialty developed in many Anglo-Saxon Masters programs. This branch of physics covers all computer applications for scientific calculation, design and optimization of physical systems.

With the development of computer performance, the field of simulation has grown in importance in companies and research organizations alike. Digital simulation makes it possible to carry out experiments on a computer, accelerating the development of new concepts and devices, and ensuring significant savings by avoiding long and costly manufacturing and experimental stages.

Read more

Objectives

On completion of this Master's degree, graduates will be able to :

  • Design an algorithm to solve a numerical problem and translate it into a programming language.
  • Discuss with business experts as well as IT specialists to develop or evolve efficient and sustainable software solutions.
  • Use specialized simulation codes in different fields of physics: quantum mechanics, materials science, molecular dynamics, electromagnetism, photonics, etc.
  • Implement different programming paradigms and languages (e.g. Systems, Object-Oriented Programming, Databases, High-Performance Computing, languages: Java, C, Python, etc.).

In addition to general physics, mathematical methods and basic computer science, graduates of this course will master a range of numerical methods widely used in research laboratories and/or in the R&D departments of major public and private sector groups/companies.  

Read more

Know-how and skills

Computational physics, mathematical methods for physics, basics of computer science, high-performance computing, introduction to artificial intelligence.

  • Develop dual skills in physics and computer science, particularly in algorithms, programming, databases and information systems.
  • Know how to use high-performance scientific computing, numerical analysis and optimization.
Read more

Organization

Knowledge control

https://mcc.umontpellier.fr/ groups together all the teaching units (UE) and their assessment procedures.

Read more

Open on a sandwich basis

This course is offered on a sandwich basis.

Internships, tutored projects

Internship

Mandatory

2 tutored projects: 1 in S1 and 1 in S4.

1 end-of-M2 internship. 

Read more

Program

The Master's program is organized into four semesters, each of which represents a progressive specialization. Each semester comprises 30 ECTS and must be taken independently (there is no inter-semester compensation). To validate each year, the 2 semesters must be validated separately, and to obtain the diploma, the 2 years must be validated.

The1st year Master's program focuses on the fundamentals of physics and computer science. It includes Computer Science courses shared with the Computer Science Department, and General Physics courses common to the various courses in the Fundamental Physics and Applications specialization.

The2nd year Master's program specializes in Computational Physics. It includes specialized courses in simulations applied to various fields of physics

Read more

Select a program

  • Hydrodynamics

    4 credits33h
  • Information systems and databases

    4 credits
  • English M1 PFA

    2 credits21h
  • Atoms, Molecules and Radiation

    5 credits42h
  • Computer basics part A

    2 credits
  • OOP

    4 credits
  • Condensed matter physics 1

    5 credits42h
  • System

    4 credits
  • Statistical physics

    6 credits49,5h
  • M1 PhysNum + Immersion tutored project

    10 credits
  • Condensed Matter Physics 2

    5 credits42h
  • Project management

    4 credits
  • Data acquisition and processing 2

    2 credits16,5h
  • Data acquisition and processing 1

    3 credits24h
  • Mathematical Methods for Computational Physics

    3 credits21h
  • Simulation of quantum structures

    3 credits21h
  • Atomistic simulation of materials

    5 credits39h
  • Image Processing in Physics

    4 credits24h
  • Introduction to artificial intelligence for physics

    2 credits15h
  • English M2 PFA

    2 credits21h
  • Corporate knowledge

    2 credits16h
  • Electromagnetic simulation

    4 credits30h
  • Advanced atomistic simulations

    5 credits39h
  • Tutored project M2 PhysNum

    5 credits
  • M2 PhysNum internship

    25 credits

Admission

How to register

Applications can be submitted on the following platforms: 

French & European students :

International students from outside the EU: For M1, follow the "Études en France" procedure: https: //pastel.diplomatie.gouv.fr/etudesenfrance/dyn/public/authentification/login.html

Read more

Target audience

Holders of a bachelor's or master's degree in physics.  

Welcoming Erasmus and Campus France students.

Read more

Recommended prerequisites

Classical physics degree program. Having taken modules in numerical physics is a plus.  

Read more

And then

Further studies

Every year, a number of students also go on to complete theses in research laboratories and organizations.

Read more

Studying abroad

It is entirely possible to pursue a thesis abroad with the Master's degree in digital physics.  

Read more

Bridges and reorientation

This course is specific by design, which limits bridges with other courses in the Montpellier physics master's program.

Read more

Professional integration

At Bac+5 level, there are many job opportunities in the field of ESN (Entreprises de Services du Numérique, ex-SSII Société de Services en Ingénierie Informatique), which particularly appreciate dual-skill training. 

The integration rate 30 months after graduation is 96%, divided between theses (30%), further studies (19%) and jobs (48%) (cf. OSIPE survey).

Read more