M2 Computational Physics & Chemistry

The "Computational Physics & Chemistry" M2 constitutes a very high level training that emphasizes the close articulation between fundamental concepts and numerical modeling in physics and chemistry.

The numerical tool has become a decisive lever of progress, irreplaceable for measuring, storing and analyzing masses of empirical data, for solving the fundamental equations that describe the systems, for establishing and simulating models, and for developing control techniques. This growing importance of numerical approaches concerns all scientific and societal disciplines.

The leitmotiv of the "Computational" orientation is to teach the numerical approach as a natural complement (but not as a substitute) to the analytical theories and fundamental concepts that constitute the fundation of the Physics & Chemistry Master's programme.

The principle of this orientation is to select courses strongly based on the use of numerical methods, up to 12 to 18 ECTS, and to associate them with courses offered at the M2 level in chemistry or physics within the framework of the Master's programme. The numerical oriented courses can be specific to the course or already offered in the framework of another course. 

 See a list of possible courses

This organisation enables to develop more or less specialised profiles in a major field of physics or chemistry.

In the second semester, the course is extended by a 6-month research internship on a theoretical and/or numerical subject.

Students must validate UEs (unités d'enseignement or "study units") to obtain a minimum of 60 ECTS credits (30 ECTS credits by semester).  They thereby obtain a "Science, Technology and Health" M2 in "Physics & Chemistry" from the Université Claude Bernard Lyon 1 and the École Normale Supérieure de Lyon.

Classes and tutorials are given in French or English according to student demand.

The M2 Physics course is accessible as a continuation of the Physics & Chemistry M1 year, but also directly by external application after selection based on the academic file..

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