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Aerospace Education Catalogue

Master Physique, parcours Astrophysique et Sciences des Données

Course Details

Objectives: Our goal is to educate scientists and astrophysics experts. For this purpose, the teaching aims at providing a view of the current state of knowledge in our field and of the methods used on a daily basis by professional astrophysicists. We rely on the expertise of the research groups (GALHECOS and CDS) at the Strasbourg Observatory such as:
- The physics of galaxies and the Milky Way, including their relations to cosmology
- The study of stars and their evolution, populations or environments
- The astrophysics of high-energy phenomena and of compact objects (such as black holes, neutron stars/pulsars)
- the developments related to the Virtual Observatory, the use of catalogs and surveys and the management of large and complex datasets in astronomy
- the usage of numerical simulations for astrophysics, high-performance computing and novel methods such as machine learning

Intended for: Students considering future employment in astrophysical research.
- Students who are curious about the Universe, and who wish to work in fields such as physics, space science, numerical modelling, computing, teaching or scientific communication.

Degree Level (EU) : 7 - (EQC level or equivalent)

Admission requirements: Successful completion of higher education in sciences, preferably physics (French Licence or equivalent degree).
A local Teaching Committee studies individual applications from students following non-standard curricula.
Requests for direct entrance into the second year of the Masters programme will also be considered. Promotion limited to 18 students in M2

Duration and terms: 1 year if admission in M2

Dedicated web site: https://astro.unistra.fr/en/training-education/master-astrophysics-track/

Dedicated web site : https://physique-ingenierie.unistra.fr/formations/masters/physique/astrophysique ()

Disciplines

  • Engineering Sciences
  • Applications, Operations

Topics

  • 11 - Computer Science, Applied Mathematics, Modelling, Optimisation, Digital and Data Sciences, Big Data, Cryptography, Cybersecurity, Artificial Intelligence
  • 22 - Space Exploration, Science, Astronomy, Astrophysics, Geophysics