Université de Franche Comté

20 Programs 1 Degree levels

A two-year, 120 ECTS master taught in English that trains specialists in fundamental physics and numerical simulation. It suits students aiming for advanced theoretical and computational roles in research or industry, or preparation for a PhD, with emphasis on quantum, statistical and data-driven methods.

Programme overview

This Master awards 120 ECTS over two years and is delivered by the UFR Sciences et techniques on the Besançon site. Teaching language is English. The programme combines advanced theoretical physics with numerical simulation, high-performance computing and scientific data analysis, forming graduates able to work on both theoretical and computational problems in academia or industry.

What you'll study

  • Advanced quantum physics of matter and light and their interactions.
  • Statistical physics and solid-state physics.
  • Physics of molecular interactions and nanostructures.
  • Spectroscopy and elements of astrophysics.
  • Numerical simulation methods and development of modelling tools.
  • High-performance computing techniques for simulations.
  • Scientific data treatment and analysis at large scale, including methods from artificial intelligence.
  • Experimental measurement design, data processing and interpretation.
  • Project design and autonomous scientific work, including preparation of funding dossiers.

Entry requirements

Admission is handled via the university's eCandidat platform; applicants must create an account to apply (https://scolarite.univ-fcomte.fr/ecandidat/#!accueilView). The programme is offered in an initial study regime.

Career prospects

Graduates are prepared to pursue a PhD or to join public or private sectors as scientific computing engineers, data analysts or researchers working on theoretical and numerical problems in academic or industrial contexts. The curriculum also supports transitions into related applied domains where comparable skills are required (environmental physics, medical physics, data analysis in other fields, socio-physics, etc.).

Scholarships & funding angle

Students should explore national and institutional scholarships, graduate school (EIPHI) funding opportunities mentioned by the university, and standard research or project grants; the programme explicitly trains students to write project funding dossiers, which supports securing scholarships or research contracts.

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Programme details are indicative and may change — always verify current information with the official university website before applying.