Master's Program in Computer Science in the Czech Republic

Compare Master's Degrees in Computer Science in the Czech Republic

Computer Science

A Masters degree is an academic degree awarded to individuals who successfully denote a higher level of expertise. There are two main types of Masters - taught and research.

Computer science is a field that has rapidly expanded with the growth of technological development. According to definition, it is a practical and scientific approach to computation. This involves the algorithms that deal with obtaining, processing and representing information.

 

 

Czech Republic is in the heart of Europe is a neighbor of Slovakia, Austria, Germany, and Poland. Czech universities offer long-standing reputation and interesting specializations.

Master Degree in Computer Science in the Czech Republic

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Master in Computational Sciences

Technical University of Ostrava
Campus Full time September 2017 Czech Republic Ostrava

This programme focuses on the education of experts in the field of supercomputing and the use of high performance computing in solving computationally demanding tasks in applied sciences, as well as technology. It has a unique advantage of its association with the IT4Innovations National Supercomputing Centre, one of Europe’s most powerful supercomputers, located on the University campus. This provides hands-on opportunity for the practical application of theoretical instruction. [+]

Best Master's Degrees in Computer Science in the Czech Republic. Branch Profile This programme focuses on the education of experts in the field of supercomputing and the use of high performance computing in solving computationally demanding tasks in applied sciences, as well as technology. It has a unique advantage of its association with the IT4Innovations National Supercomputing Centre, one of Europe’s most powerful supercomputers, located on the University campus. This provides hands-on opportunity for the practical application of theoretical instruction. Key Learning Outcomes KNOWLEDGE Students will become familiar with various architectures of today’s supercomputers and will learn to program effectively, making use of computational resources to solve demanding practical problems. SKILLS The students will acquire skills in programming parallel applications and designing effective parallel algorithms. Additionally, four different specializations are available, each providing specific skills from the following domains: data analysis and visualisation, numerical parallel algorithms, computational physics and chemistry, and engineering applications. Emphasis is placed on developing skills of interdisciplinary dialogue, a reality of the modern workplace. GENERAL COMPETENCIES Students will gain corresponding training in the field of soft skills. Thanks to the wide range of international R&D projects, IT4Innovations develops students’ ability to work in international, multi-disciplinary teams. Occupational Profiles of Graduates Graduates of the Computational Sciences programme will find their career, for example, in R&D institutions using HPC tools in order to achieve objectives of their research work, and often running their own computational systems. There has recently been a significant increase in number of such companies... [-]

Master in Automation and Computing in Industrial Technologies

Technical University of Ostrava
Campus Full time September 2017 Czech Republic Ostrava

The Branch is focused to the exploitation of computers and automation of technological processes above all in the metallurgical industry by application of knowledge in the field of theory of automated control, integrated computer systems, modern methods of control with exploitation of artificial intelligence and applied informatics and control of technological aggregates and processes. [+]

Study Branch Economics and Management of Industrial Systems Branch Profile The Branch is focused to the exploitation of computers and automation of technological processes above all in the metallurgical industry by application of knowledge in the field of theory of automated control, integrated computer systems, modern methods of control with exploitation of artificial intelligence and applied informatics and control of technological aggregates and processes. Key Learning Outcomes Knowledge advanced scientific methods of modelling, simulation and optimal control of dynamic systems, modern tools and techniques for designing and implementation of complex control systems based on programmable logic controllers, programming of information systems and modern control methods, detailed knowledge of industrial technologies, especially in the field of metallurgy and related technologies. Skills independent control of production and technological processes, particularly in the metallurgical enterprises ability of creative synthesis of gained technological knowledge in the field of metallurgy, knowledge of control methods and implementation of control and information systems, ability of independent analysis, design and implementation of control systems for technological processes especially in metallurgical industry field by means of application of modern computing, measurement and automation tools. General Competencies General competences within the scope defined by the national descriptors of the Czech qualifications framework with an emphasis on communication skills, management and organizational skills, ability to communicate in at least one foreign language, etc. Occupational Profiles of Graduates This unique engineering field of study follows on the bachelor’s study program and expands and deepens knowledge and practical abilities in the automation and... [-]

Master in Computational Mathematics

Technical University of Ostrava
Campus Full time September 2017 Czech Republic Ostrava

Computational Mathematics has a distinct focus on the important areas of applied mathematics relative to other branches of Information and Communication Technology, which the students can use when dealing with practical problems in the workplace. [+]

Best Master's Degrees in Computer Science in the Czech Republic. Faculty of Electrical Engineering and Computer Science Study Branch Computational Mathematics Branch Profile Computational Mathematics has a distinct focus on the important areas of applied mathematics relative to other branches of Information and Communication Technology, which the students can use when dealing with practical problems in the workplace. Students gain a solid base for a career, or can continue in a doctoral programme focusing on the development of new methods for computational solutions of engineering problems with particular application in R&D. Computational Mathematics is a branch of the study programme of Information and Communication Technology. Key Learning Outcomes Knowledge The graduates in this study programme possess a broad and deep state-of-the-art knowledge and understanding of the branch of information technology, and a practical knowledge of applied mathematics, along with the selected areas of application. The knowledge in mathematics acquired during the Master’s studies constitutes an appropriate theoretical basis for further doctoral studies. Skills The graduates in this study programme can search for, sort out and interpret the relevant information to solve a defined practical problem. They can also deal with complex problems independently and creatively, using selected procedures that make use of information and communication technology as well as applied mathematics. - General competencies: A graduate is able to make independent and responsible decisions in new or changing contexts or in a developing environment with respect to broader social consequences, to coordinate the operation of a team and bear ultimate... [-]

Master in Computer Science and Technology

Technical University of Ostrava
Campus Full time September 2017 Czech Republic Ostrava

The Master’s course of Computer Science and Technology provides the students with an education designed to help them find employment mainly in the field of creation and administration of various extensive and complex software products, in the creation and administration of computational systems and computer networks, in the production of computers and their components, and finally, among others, in the fields of business and education. [+]

Faculty of Electrical Engineering and Computer Science Study Branch Computer Science and Technology Branch Profile The Master’s course of Computer Science and Technology provides the students with an education designed to help them find employment mainly in the field of creation and administration of various extensive and complex software products, in the creation and administration of computational systems and computer networks, in the production of computers and their components, and finally, among others, in the fields of business and education. Apart from the knowledge ensuring very good chances of employment in practice, the students are educated in relevant theoretical areas as well, which enables them to find employment in R&D as well as to continue their studies in the doctoral programme. Key Learning Outcomes - Knowledge In comparison with the Bachelor’s level, the Master’s knowledge of the preparation theoretical disciplines (e.g. mathematics, discrete mathematics, and theoretical informatics, logics) are deeper and broader. Moreover, the graduate is able to perform analyses. Also, there are more complex, theoretically demanding, or less frequent areas of informatics, such as the processing and analysis of data of various kinds, including multimedia data and very extensive data, systems implementing artificial intelligence, cognitive robots, systems of machine perception and recognition, computer modelling of various systems, designing of special (e.g. very powerful) computational systems. In the above mentioned areas, the graduate is capable of evaluation, and he/she also understands the elementary scientific methods used here. - Skills The graduates can design pieces of work of a large extent... [-]

Master in Mathematics: Mathematics for Information Technologies

Charles University Faculty of Mathematics and Physics
Campus Full time October 2017 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. [+]

Best Master's Degrees in Computer Science in the Czech Republic. 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. The direction Mathematics for Information Security is focused on deepening the theoretical knowledge of number theory, probability theory, theory of error correcting codes, 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. The direction Computer Geometry deepens theoretical knowledge in various algebraic and geometric subjects together with their applications in geometry of computer vision and robotics, computer graphics and image processing, optimization methods, and numerical linear algebra. Entrance examination – Master's programme Applicants who will not sufficiently demonstrate the necessary background listed above by 9 May 2016, or with their application, will be invited to take the entrance examination in Prague. The entrance examination for a Master's programme at the Faculty of Mathematics and Physics at Charles University consists of four problems, each worth 25 points. In case of an incomplete solution a proportional number of points will be given. The maximum total score is 100. The minimum score for admission is 40 points out of 100. Depending on the study programme and study branch, the examination has the following structure: Mathematics (4 problems) Master’s Entry Requirements The goal of the admissions review process... [-]

Master in Discrete Models and Algorithms

Charles University Faculty of Mathematics and Physics
Campus Full time October 2017 Czech Republic Prague

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 emphasize is put on up-to-date theoretical and applied questions in the area. [+]

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 emphasize is put on up-to-date theoretical and applied questions in the area. Study plans Optimization and Mathematical economics provide skills to solve difficult technical and economical problems with the use of optimization methods and suitable methods in mathematical economy. Entrance examination – Master's programme Applicants who will not sufficiently demonstrate the necessary background listed above by 9 May 2016, or with their application, will be invited to take the entrance examination in Prague. The entrance examination for a Master's programme at the Faculty of Mathematics and Physics at Charles University consists of four problems, each worth 25 points. In case of an incomplete solution a proportional number of points will be given. The maximum total score is 100. The minimum score for admission is 40 points out of 100. Depending on the study programme and study branch, the examination has the following structure: Master of Computer Science. All study branches: Computer Science (4 problems, e.g., logic, automata theory, programming, theoretical computer Master’s Entry Requirements The goal of the admissions review process is to select from the pool of applicants those individuals who have shown the best capability and diligence expected of Charles University students. To apply for our Mathematics or Computer Science Master's programmes delivered in English you must: - hold or be working towards a Bachelor’s or Master’s diploma and provide a certified... [-]

Master in Open Informatics

Czech Technical University in Prague
Campus Full time October 2017 Czech Republic Prague

Artificial Intelligence | Computer Vision and Image Processing [+]

Best Master's Degrees in Computer Science in the Czech Republic. Fields of Study - Artificial Intelligence - Computer Vision and Image Processing Entrance Exams NON Entrance Requeirements - fully compleated application form - relevant bachelor degree - CV - interview - supporting material supplied (list of applicant's pu­blications, GRE-CS test result, awards and prizes and other notable achievements or recommendation letters) Level of English provide communication skills during the admission procedure Scholarship not for the first year students [-]

Master in Computer Science: Computational Linguistics

Charles University Faculty of Mathematics and Physics
Campus Full time October 2017 Czech Republic Prague

The aim of the program is to get the students ready for research in the area of natural language processing and 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. [+]

The aim of the program is to get the students ready for research in the area of natural language processing and 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. Entrance examination – Master's programme Applicants who will not sufficiently demonstrate the necessary background listed above by 9 May 2016, or with their application, will be invited to take the entrance examination in Prague. The entrance examination for a Master's programme at the Faculty of Mathematics and Physics at Charles University consists of four problems, each worth 25 points. In case of an incomplete solution a proportional number of points will be given. The maximum total score is 100. The minimum score for admission is 40 points out of 100. Depending on the study programme and study branch, the examination has the following structure: Master of Computer Science. All study branches: Computer Science (4 problems, e.g., logic, automata theory, programming, theoretical computer Master’s Entry Requirements The goal of the admissions review process is to select from the pool of applicants those individuals who have shown the best capability and diligence expected of Charles University students. To apply for our Mathematics or Computer Science Master's programmes delivered in English you must - hold or be working towards a Bachelor’s or Master’s diploma and provide a certified copy thereof; in cases required... [-]

Master in Informatics

Czech Technical University in Prague
Campus Full time October 2017 Czech Republic Prague

Computer Systems and Networks | Design and Programming of Embedded Systems | Web and Software Engineering (specialisation Software Engineering) [+]

Best Master's Degrees in Computer Science in the Czech Republic. Fields of study - Computer Systems and Networks - Design and Programming of Embedded Systems - Web and Software Engineering (specialisation Software Engineering) Entrance Exams NON Entrance Requirements - fully completed application form - documents showing results in previous studies - evidence of significant personal achievements in mathematics, physics, informatics, or similar disciplines and successful participation in secondary school competitions or projects - certificate that demonstrates proficiency in English Level of English - comparable to or exceeding B2 level CEFRL Scholarship not for the first year students [-]