Master's Programme Computer Science: Specialisations

The specialisation in Perception, Interaction and Robotics focuses on computational and data-driven methods for physical and virtual worlds. Diverse courses are offered on fundamental and specialised methods, including machine-learning methods, powering computer vision, computer haptics, perception and interaction in Extended Reality, physics-based simulation, and autonomous robotics. Some of our machine-learning courses are also offered as part of the Logic and Learning specialisation. The specialisation welcomes all Master students and is of particular relevance to those interested in theory and applications where computation meets the physical world.

The specialisation Secure an Distributed Computing emphasizes the design of novel system architectures that meet future demands in terms of scale, performance, and resilience. It spans a variety of paradigms, including the Cloud-Edge continuum, fully decentralized systems, and scientific computing. Security-focussed courses train students to anticipate malicious behaviour and defend systems with the help of strong cryptography, robust protocols and secure elements. Courses with a focus on distributed systems delve into topics such as application development, load balancing, scheduling, resource management and fault tolerance. The modules in this specialisation are relevant for all Master students, and address particularly those interested in building reliable and performance-oriented infrastructures for the digital age.