8 Master's degrees offered by the university

Technological Innovation in Health at Sorbonne University takes a transdisciplinary approach to biomedical engineering. Working in teams, students learn to combine different technologies to solve real-life health challenges. Their “active learning” and practical work are carried out in two universities.

This From Fundamental Molecular Biosciences to Biotherapies programme is offered at Sorbonne University. Biotherapy refers to the use of molecules from living organisms to treat diseases by performing procedures such as cell and tissue therapy, gene therapy and therapies using human molecules synthesized by eukaryotic cells or bacteria, like antibodies and bioactive proteins. 

Computer Science - Quantum Information at Sorbonne University will teach recent research results in quantum algorithmics, quantum cryptography, photonic quantum computing and quantum information theory.

The Paris Physics Master is a two-year master's program in physics, taught in Paris. It is jointly run by two universities, Sorbonne University and Université de Paris (formerly Université Paris-Diderot).

We offer a master degree in Bioinformatics and Modeling at Sorbonne University. The current challenges of biology and medicine generate new needs at the interface with computer science and mathematics: analysis of complex data, in-depth modeling tools.

The Digital International Program (DIGIT) at Sorbonne University enables outstanding international students to create a custom curriculum that covers the central themes of Sorbonne University’s computer science master’s programs, such as Bioinformatics, Computer Vision, Computer Networks and Security.

Waves and Devices for Advanced Wireless Communication Systems from Sorbonne University covers advanced topics in computational electromagnetics, antennas and radiofrequency devices, wireless communication technologies, propagation channel, and electromagnetic compatibility. 

High Performance Computing from Sorbonne University plays a major role in scientific research and industrial innovation. The architecture of large scale computers is evolving rapidly and is becoming more and more complex.