ECTS
120 credits
Duration
2 years
Training structure
Faculty of Science
Language(s) of instruction
French
Presentation
The Master's degree in Digital Physics / Computer Physics is unique in France. It offers:
- A double competence in Physics and Computer Science
- A specialization inComputational Physics.
This program is aimed at students with an initial training in Physics who wish to acquire a dual competence that opens up professional opportunities from Bac+5. Graduates are specialists in "Numerical Physics", which deals with modeling and simulation in Physics and which is a specialty developed in many Anglo-Saxon Masters. This branch of Physics concerns all applications that use computers for scientific calculation, design and optimization of physical systems.
With the development of computer performance, the field of simulation has grown in both business and research organizations. Numerical simulation enables computer-based experiments that accelerate the development of new concepts and devices, and ensures significant savings by avoiding time-consuming and costly manufacturing and experimentation steps.
Objectives
Upon 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 with IT specialists to develop or evolve efficient and sustainable software solutions.
- Use specialized simulation codes in different fields of physics: quantum mechanics, material science, molecular dynamics, electromagnetism, photonics, etc.
- Implement different programming paradigms and languages (e.g. System, 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 program will master a set of numerical methods widely used in research laboratories and/or in the R&D departments of large groups/companies in the public and private sectors.
Know-how and skills
Computational physics, mathematical methods for physics, basics of computer science, high performance computing, introduction to artificial intelligence.
- Develop a dual competence in physics and computer science, particularly in algorithms, programming, databases and information systems
- Know how to implement high performance scientific computing, numerical analysis and optimization.
Organization
Knowledge control
https://mcc.umontpellier.fr/ groups all the teaching units (UE) and their knowledge control methods.
Open in alternation
This course is open on a sandwich basis.
Internships, tutored projects
Internship | Mandatory |
---|
2 tutored projects: 1 in S1 and 1 in S4.
1 internship at the end of M2.
Program
The Master is organized in four semesters, each of which constitutes a progressive specialization. Each semester has 30 ECTS and must be validated independently (there is no inter-semester compensation). To validate each year, the two semesters must be validated separately and to obtain the diploma, the two years must be validated.
The1st year Master's degree concerns the establishment of the fundamentals in Physics and Computer Science. It includes courses in Computer Science shared with the Department of Computer Science and courses in general Physics common to the different courses of the Fundamental Physics and Applications field.
The2nd year Master's program aims at specializing in Computational Physics. It includes specialized courses in simulation applied to different fields of physics
Select a program
M1 - Digital Physics (PhysNum)
Hydrodynamics
4 credits33hInformation system and databases
4 creditsEnglish M1 PFA
2 credits21hAtoms, Molecules and Radiation
5 credits42hBasic elements of computer science part A
2 creditsOOP
4 creditsCondensed matter physics 1
5 credits42hSystem
4 credits
Statistical physics
6 credits49,5hTutored project M1 PhysNum + Immersion
10 creditsCondensed Matter Physics 2
5 credits42hProject management
4 creditsData acquisition and processing 2
2 credits16,5hData acquisition and processing 1
3 credits24h
M2 - Digital Physics (PhysNum)
Mathematical Methods for Digital Physics
3 credits21hSimulation of quantum structures
3 credits21hAtomistic simulation of materials
5 credits39hImage Processing in Physics
4 credits24hIntroduction to Artificial Intelligence for Physics
2 credits15hEnglish M2 PFA
2 credits21hKnowledge of the company
2 credits16hSimulation in electromagnetism
4 credits30hAdvanced atomistic simulations
5 credits39h
Tutored project M2 PhysNum
5 creditsM2 PhysNum internship
25 credits
Admission
How to register
Applications are made on the following platforms:
French & European students:
- For the M1, follow the procedure " My Master " from the website : https://www.monmaster.gouv.fr/
- For M2, students must submit their application via the e-candidat application: https: //candidature.umontpellier.fr/candidature
International students from outside the EU: For the M1, follow the "Studies in France" procedure: https: //pastel.diplomatie.gouv.fr/etudesenfrance/dyn/public/authentification/login.html
Target audience
Holders of a bachelor's or master's degree in physics.
Reception of Erasmus and Campus France students.
Recommended prerequisites
Classical Physics degree program. Having taken modules in numerical physics is a plus.
And then
Further studies
Each year, several students also pursue a thesis in laboratories and research organizations.
Continuing your studies abroad
It is quite possible to pursue a thesis abroad with the master in digital physics.
Bridges and reorientation
This course is specific by construction which limits the gateways with the other courses of the Master of Physics of Montpellier.
Professional integration
At Bac+5 level, there are many opportunities in the field of ESN (Digital Services Companies, ex-SSII Société de Services en Ingénierie Informatique), which particularly appreciate dual-skill training
The rate of integration 30 months after obtaining the Master's degree is 96%, divided between theses (30%), further studies (19%) and jobs (48%) (see OSIPE survey).