13 Computer Science Degree Programs in Czech Republic

The aim of the bachelor program Computer Science is the education of graduates with a broad knowledge in two areas. The first area of gained expertise is applied computer science, in particular the ability to analyze and program real-world problems, which enables the graduates to get jobs in the industry directly after finishing their bachelor's degree. The second area is theoretical computer science (including a relatively broad mathematical foundation), which enables the graduates to continue their studies on a master (and later possibly also a doctoral) level. The coverage of both above-mentioned areas is in an accord with the position of computer science on the borderline between technical and natural sciences. The study program Computer Science has three specializations. One of them is more practically oriented (Databases and web) and two are more theoretically focused (General computer science, Artificial intelligence). The first year of study is common for all three specializations, which allows students to pick their specializations as late as in the second year of study when they have enough information for such a decision. An important part of the study program is creative work, which includes student theses. This type of work is aimed at software and specialized hardware development (in the applied area of computer science), and at scientific publications (in the theoretical area of computer science).

Masters in Computer Science

The program focuses on the education of graduates prepared to solve research problems in the sub-area of computer science related to the generation and processing of visual information (computer graphics, image analysis, machine vision) and/or computer games development.

Bachelor in Computer Science is a professional with knowledge and skills that meet internationally recognized standards. The bachelor's study provides him/her excellent ability to orientate him/herself on the evolving labour market. During the study, the ratio between knowledge and skills is very carefully balanced, even concerning the individual interest of the student.

Our AI & Computer Science program covers a wide range of profession-related subjects that are not commonly taught in universities, giving you a competitive edge in the real world. You will learn from experienced professionals and have the opportunity to work alongside them during your internship, gaining invaluable industry experience.

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 prepares experts for research and development in the areas of Theoretical Computer Science and Artificial Intelligence. Education is implemented by doing independent research under the supervision of senior experts. In addition to obtaining foundations in Computer Science, the students acquire deep knowledge in a chosen specialization area such as algorithms and data structures and their analysis, knowledge representation and reasoning, cognitive sciences and their applications, machine learning, multi-agent systems, problem modeling (e.g., in automated planning or decision making) and problem-solving using logical, probabilistic, and nature-inspired methods. Students learn how to formulate research goals, prepare a project proposal to achieve the set goals, and present the results in the international environment. Further, they gain experience teaching and mentoring students including thesis supervision.

The program aims at providing the graduate with the knowledge and research experience in a wide range of fields in discrete mathematics and theoretical computer science, based both on contemporary theoretical trends and on applications in physics, biology and other branches of science. The graduate gains knowledge and experience necessary to contribute to the research and development on an international level and is ready to take a leading role in shaping the trends in these fields.

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.

This master's program focuses on deeper knowledge of various mathematical disciplines and their algorithmic aspects. The student can specialize either in Mathematics for Information Security or in Computer Geometry. Mathematics for Information Security focuses on deepening theoretical knowledge of number theory, probability theory, theory of boolean functions, complexity theory, theory of elliptic curves, and computer algebra applied to some of these subjects. Attention is also given to practical aspects such as internet security, standards in cryptography, and legal aspects of data security. Computer Geometry deepens theoretical knowledge in various algebraic and geometric subjects together with their applications in the geometry of computer vision and robotics, computer graphics and image processing, optimization methods, and relevant applications of numerical linear algebra.

The goal of the doctoral study of computer science in the branch of study Autonomous Systems is the training of experts for design, research, and applications of a broad spectrum of autonomous and multiagent systems. Students choose their specialization among topics like artificial intelligence (cognitive systems), knowledge systems and knowledge engineering, theoretical and applied robotics, drone control and processing of data streams from drones (UAV – Unmanned Autonomous Vehicles), mathematical modeling of multi-agent systems, bio-inspired multiagent computing, supercomputing technologies and more. They have also wide opportunities for participation in research projects, grant support, short-term and long-term foreign research stays.

EECS graduates get wide and very versatile theoretical preparation in fundamental engineering disciplines such as both discrete and continuous mathematics, physics, algorithms, and programming. The overall aim of the EECS study program is to enable students to select from a variety of career options. Graduates become proficient in electrical engineering, power engineering with extended knowledge of economics and management, software and embedded systems development, computer science, and information technologies. The high flexibility of the EECS program allows students to configure their own study profile. EECS graduates will be able to start a career not only in industry but also continue in master's degree programs at CTU FEE and worldwide.