HPDA – High Performance Data Analytics track

Master of computer science


The rapid growth of the Internet has led to the collection of vast amounts of data. Since analyzing these data requires a tremendous computing power, High Performance Data Analytics employs various parallelization techniques in order to reduce the analysis execution time. These parallelization techniques can then by applied to various domains such as High Performance Computing, Artificial Intelligence, and Big Data.

  • Language of instruction: english
  • ECTS: 120 (60 during first year, 60 during second year)
  • Oriented: research
  • Duration: 2 years
  • Courses Location: Palaiseau

Educational Objectives

This track’s program covers the whole software stack of today’s high performance data analytics applications, from the internals of operating systems, and the foundation of parallel programming to High Performance Computing applications and AI techniques. The 2 years program is composed of mandatory courses that focus on core topics (operating systems, parallel programming, …) and optional courses that target either HPC applications (numerical simulation and modeling, …) or AI applications (Machine learning, data mining, …) The program has a focus on research, and aims to integrate students into research labs through projects and the master’s thesis, in order to prepare them for a PhD.


If you want to apply to the track, you have to visit this application portal.