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View all Masters Programs in Computer Science 2019 in Prague in Czech Republic

The foundations of computer science actually date back to before the modern computer had actually been created. For instance, algorithms for computing have been around for hundreds of years. One book of Sanskrit algorithms dates back to 800 BC.

Czech Republic has a well-established and research based university education. This has made learning ini Prague one of the respected curriculum's in Europe since it cultivates the spirit of creativity and innovation among students.

Request Information Master's Degrees in Computer Science in Prague in Czech Republic 2019

3 Results in Computer Science, Prague Filter

Master in Mathematics for Information Technologies

Charles University Faculty of Mathematics and Physics
Campus Full-time 2 years October 2019 Czech Republic Prague

This Master Program focuses on deeper knowledge of various mathematical disciplines and their algorithmic aspects. The student can get specialized either in Mathematics for Information Security or in Computer Geometry.

Master in Discrete Models and Algorithms

Charles University Faculty of Mathematics and Physics
Campus Full-time 2 years October 2019 Czech Republic Prague

The study plans Discrete Mathematics and Combinatorial Optimization and Mathematical Structures in Computer Science provide advanced knowledge in the fields of applied mathematics and computer science. An emphasis is put on up-to-date theoretical and applied questions in the area. The study plans Optimization and Mathematical Economics provide skills to solve difficult technical and economical problems with the use of optimization methods and suitable methods from mathematical economics.

Master in Computational Linguistics

Charles University Faculty of Mathematics and Physics
Campus Full-time 2 years October 2019 Czech Republic Prague

The aim of the Computational Linguistics program is to prepare students for research in the area of natural language processing and the development of applications dealing with both written and spoken language. Examples of such applications are systems of information retrieval, machine translation, grammar checking, text summarization and information extraction, automatic speech recognition, voice control, spoken dialogue systems, and speech synthesis.