Master Year 2 High Performance Data Analytics

The rapid growth of the internet has led to vast amounts of data being collected. As analyzing this data requires tremendous computing power, high-performance data analytics employs various parallelization techniques to reduce the execution time. These techniques can be applied to various domains such as high-performance computing, artificial intelligence and big data.

The two-year High Performance Data Analytics Master’s program covers the full software stack of high-performance data analytics applications available today, from operating systems and the foundations of parallel programming to high-performance computing applications and AI techniques. The program comprises mandatory courses focusing on core topics like operating systems and parallel programming, as well as optional courses addressing either HPC applications (numerical simulation and modeling) or AI applications (machine learning and data mining).

The program focuses on research and aims to introduce students to research labs through projects and a Master’s thesis, paving the way for a PhD.

Objectives

This two-year Master’s program enables students to:

• Master the foundations of parallel computing to analyze massive amounts of data
• Acquire core knowledge in architecture, operating systems, parallel programming, as well as an overview of applications such as high-performance computing, artificial intelligence and big data
• Gain advanced knowledge in a specific application
• Develop the skills required to pursue a research career through seminars and projects