English

Parallel and distributed systems are ubiquitous in many applications in our daily life including AI, online games, social networks, web services and healthcare simulations. These systems distribute computation over many computing units because they have to sustain massive workloads that cannot fit into a single computer. Designing efficient, easy-to-maintain and correct parallel and distributed systems is challenging – a challenge inherent to the complexity of managing multiple machines, many users and very large data sets.

With the explosion and profusion of data available in a large number of fields, new collection and analysis techniques are having a profound effect on all sectors of economic life, but also on certain research sectors. The course offers an introduction to the best methodological tools for understanding and exploiting data, particularly massive data (Big Data). An immersion in the world of data through an intensive course on the fundamentals of data science.

This international master track titled 'Performance in Software, Media and Scientific Computing' or PSMSC is a one-year programme taught by the University of Toulouse. It prepares master students for top level careers or PhD programs in several application domains that require use of hardware, software and programming techniques to accelerate data-intensive computations and ensure reliable execution of cutting-edge applications.

As the field of Data Science evolves quickly, ENSAI is taking advantage of the reaccreditation process to update the Master in Statistics for Smart Data program which will now be known as the Master for Smart Data Science.