3 Computer Science MSc Degree Programs in Czech Republic

The study program is intended as a research-oriented study. Students are expected to have a strong mathematical background which is further developed during the study with a focus on exact thinking. Students gain overview and understanding in many areas of contemporary theoretical computer science - from cryptography and limits of computational systems to state-of-the-art techniques in the design of efficient algorithms and data structures. They will learn about frontiers of current knowledge in areas of their interest. The study may include working in the international environment under the guidance of recognized experts while writing a master thesis. Graduates are sought after by companies developing future technologies based on current research. At the same time, the study program excellently prepares for doctoral study at any university worldwide.

The program consists of two closely related study tracks, Visual Computing, and Computer Game Development. Within the scope of Visual Computing, the program offers training in a wide range of visual sciences, including geometric modeling, rendering (image synthesis) as well as the basics of image analysis and computer vision. The Computer Game Development focuses - apart from computer graphics techniques - on artificial intelligence and intelligent agent systems as well as on software engineering skills necessary for the development of large-scale gaming projects. Both study tracks place emphasis on general programming skills, both at the system level closer to the hardware as well as on the higher level of modern programming languages.

The study program Computer Science - Artificial Intelligence provides education in the area of theoretical and applied knowledge for the design of intelligent systems in various areas including data analysis, automated problem solving, and robotic applications. An emphasis is put on a deep understanding of formal theoretical foundations and their practical applicability. Students will gain knowledge about the design of efficient data structures; about the formal modeling of problems using techniques of mathematical logic and probability theory; about algorithms (classical and nature-inspired) for problem-solving, the control of autonomous agents, machine learning, and data mining; and about complexity analysis of computational methods. Students will learn how to apply these techniques and how to extend them both to abstract (data) and physical (robotic) worlds in single-agent and multi-agent environments.