Master in Distributed and Parallel Computing (M2 DiPaC)

Applications for the Jul 2027 intake are due by Apr 15, 2027.

Graduates often pursue careers in engineering and R&D or continue to a doctorate in HPC or distributed systems, or in sectors such as data science, research, and teaching. The M2 DiPaC program at Université Paris-Saclay focuses on advanced topics in high-performance computing (HPC) and distributed algorithms on large-scale systems. Students learn to design fast, scalable, and robust solutions for intensive computing applications in AI, big data analysis, scientific computing, and quantum computing.

The curriculum includes seven core courses in high-performance, parallel, and distributed computing, with two elective courses allowing specialization in either high-performance data analysis (HPDA) or hybrid HPC/quantum computing (HQI). Additionally, a mandatory six-month internship on M2 DiPaC themes complements the program. The program is closely integrated with the Paris-Saclay ecosystem of research labs and industrial partners.