Computational Physics

Explore the programs and courses offered by Computational Physics

Browse Programs Admission Information

Program Overview

The Master's in Computational Physics provides cutting-edge training in modern technologies (numerical simulation, big data) while preparing students for emerging fields like quantum computing. This program combines fundamental physics with advanced computational methods, focusing on key areas such as condensed matter physics, light-matter interactions, and numerical simulation of physical systems using big data approaches.

The program has a dual mission:

1-      To develop physicists with exceptional computational skills, capable of adapting to future technological disruptions

 2-  To train digital specialists with deep physics knowledge who can bridge the gap between computer engineers and physicists.



Graduates will be prepared for diverse career paths, including academic research (universities and research institutions) or industrial R&D departments, where they can serve as crucial links between technical teams and physics specialists.


Teaching Language : english

Curriculum Highlights

Core Courses

Semester 1 (S1): - Mathematical Modeling of Physical Phenomena I

-         Computational Statistical Physics

-         Scientific Computing I: Scientific Computation and Data Analysis

Semester 2 (S2):

-         Mathematical Modeling of Physical Phenomena II

-         Materials and Devices

-         Scientific Computing II: Machine Learning and Deep Learning for Physics

Semester 3 (S3):

-         Mathematical Modeling of Transport-Related Physical Phenomena

-         Scientific Computing III: Parallel Programming for Physics Simulation (CPU/GPU)

-         Systems Optimization

Semester 4 (S4): Seminars, master's thesis


Advanced Topics

Computational physics (or numerical physics) is an interdisciplinary research field that employs numerical methods, algorithms, and computer systems to solve complex physics problems that cannot be addressed through analytical solutions. The main research areas in computational physics include:

- Theoretical Physics and Numerical Modeling: Particle and high-energy physics,  

 Quantum physics, Statistical physics.

- Materials Science and Nanotechnology: Nanomaterials, Numerical characterization

- Photonics and Quantum Optics: Photonic simulation, Light-matter interaction.

- Astrophysics and Numerical Cosmology

- Artificial Intelligence and High-Performance Computing: AI applications in

 physics,,Parallel programming.

- Computational Fluid Physics and Continuum Mechanics


View Full Curriculum

Admissions Information

Bachelor’s degree     Scientific Baccalaureate (Experimental   

                                                                                    Sciences, Mathematics, or Technical     

                                                                                    Mathematics) or an equivalent diploma

 

 

 

 

MASTER’S degree          Bachelor’s degree in Physics ou

                                                                  or an equivalent diploma

Apply Now