Digitization is progressing at a steady state, becoming pervasive in numerous domains. Digital Infrastructures are the fundamental backbone to provide the necessary capabilities for data transportation, storage and processing. They are evolving from standalone large storage and compute centers to densely connected networks of heterogeneous entities including very lightweight sensors, mobile devices, distributed clouds, supercomputers and a large variety of in-between compute and storage capabilities often refereed as Edge and Fog. These infrastructures are in perpetual mutation with an increasing complexity that requires smart software solutions to keep them manageable, energy efficient and to support new innovative applications like autonomous vehicles.

This option provides students the expertise to address tomorrow's software challenges of Digital Infrastructures through exposure to novel operating system principles, distributed and parallel algorithms, networking, large scale storage and compute for analytics, simulation and machine learning. Classes are mixing lectures and hands-on experiments on advanced computer systems. Students will next be able to pursue a PhD in related topics or to become an expert into companies concerned with Digital Infrastructures.

The first semester includes a package of core classes (18 ECTS) that students must complement with their own selection of classes to account for a total of 30 ECTS. Some possible classes are listed bellow but students can also pick other classes proposed in the other Grenoble masters given that schedules be compatible. All classes take place during the first semester.

The second semester is dedicated to 6-month Master project (a stage or internship) in a research lab or the R&D division of a company. The Grenoble area offers a large number of opportunities both in academic and industry. Students who intend to engage into a PhD should select a subject including a significant part of scientific investigation.


Courses take place on third semester and are all in english. Semester 4 is dedicated to an end of studies research project.

Specific courses to the option

Cross courses

Each student needs to take 12 ECTS amongst the classes proposed bellow or any other available given that schedules be compatible