50 Computer Science and IT Management Degree Programs in Czech Republic

Gain practical experience in software development, cybersecurity, database systems, and digital business. Study Information Technology at University of New York in Prague and gain practical experience in software development, cybersecurity, database systems, and digital business. Taught entirely in English, the program leads to an American-accredited degree through SUNY Empire State University and prepares students for international careers in today’s technology industry.

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.

Study Information Systems Management (ISM) at one of the most prestigious universities in the field of IT management and Data studies. The Prague University of Economics and Business recently earned the AACSB accreditation. Prague is an enchanting city with a rich history, a cultural and economic hub. Czechia has also a very low unemployment rate, offering many job possibilities for the ISM students and graduates.

The doctoral program primarily aims at graduates from teacher preparation programs in mathematics and computer science, enabling them to deepen their knowledge from master's programs and take part in ongoing research. The program focuses on elementary mathematics and computer science, their history, as well as teaching. In elementary mathematics and computer science, the emphasis is placed on topics that connect and extend both high-school and university curricula. In history, attention is paid especially to the 19th and 20th centuries, Czech mathematics and computer science. History is also closely related to problems of teaching, as the progress of science depends on the transfer of knowledge from teachers to students, which is supported by textbooks.

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.

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).

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 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 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 aim of the study program “Computer Science – Language Technologies and Computational Linguistics” is to get the graduates ready 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, information extraction and summarization, machine translation, text analytics, grammar checking, automatic speech recognition, spoken dialogue systems, and speech synthesis. The emphasis is put on a deep understanding of formal mathematical and algorithmic foundations and their practical applicability in natural language processing tasks. Students of the program have the possibility to focus either on theoretical aspects of formal description of natural languages or on the technology-oriented side (state-of-the-art methods in statistics, machine learning, and deep learning) for language data processing.

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.

The program addresses open topics in software system analysis, development, and application. In both theoretical and practical terms, it has foundations in the research of software architectures, programming languages, and notations, together with tools and methods for software analysis and construction. These are studied both in general terms and in the context of important software system classes such as information systems, or distributed or parallel systems. On the creative side, the program combines projects of basic and applied research, often with strong experimental aspects, with outputs including research prototypes alongside traditional publications. The program does not contain specializations.

The study branch Discrete models and algorithms offers wide education in theoretical and mathematical fundaments of computer science. The student obtains knowledge in the area of discrete models and related algorithmic and data techniques and various mathematical methods for their design. The study familiarizes the student both with the last results on discrete models, algorithms, and optimization and with possibilities and limitations in solving related algorithmic questions. The students acquire the thorough mathematical knowledge necessary for the analysis and design of discrete models and algorithms. The students can apply their skills in practice or can continue in the Ph.D. study of computer science or related areas.

The Bachelor of Science in Chemistry and Technology (Faculty of Chemical Engineering) enables students to study general chemical and chemical engineering disciplines that are applicable to a wide range of fields in science, chemical and biochemical technologies and environmental protection issues.

The Bachelor of Science in Chemistry and Technology (Faculty of Chemical Technology) may focus profiles towards specialised fields: the production and properties of metals, glass, or ceramic materials; plastics and rubber; biocompatible materials; and nano- or submicron-scale structured materials.

The Master in Chemistry, Technology and Materials consists of two specialisations, “Chemistry and Chemical Technology” and “Materials Chemistry and Technology”. This is designed as a follow-up Master programme (culminating with a Master's degree and the Czech title Ing., the equivalent of an MSc.)