- a thorough understanding of network paradigms, architectures, algorithms, and technologies – as well as how, and why, these have evolved;
- a strong expertise in theoretical tools and methods for network performance study and analysis;
- a vision of the future of networks and an understanding of the current trends;
- avant-garde classes and course modules, an innovative pedagogical approach, taught by a world-class faculty.
Admission is selective – but, in return, the program offers small class-sizes, a high faculty-to-student ratio, and individualized attention.