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.

The two-year Parallel and Distributed Systems Master’s program equips students to address this challenge and related research questions. Students will learn the theory and practice that underpin these systems with courses ranging from operating systems, compilation and large-scale distributed middleware to the algorithmic and mathematical foundations of distributed and parallel systems. The ultimate goal of the program is to train the next generation of researchers and R&D engineers that will lead innovation in the field of parallel and distributed systems.