Masters Program in Computing in Czech Republic

Compare Masters Programs in Computing in Czech Republic 2017

Computing

A master's degree is a postgraduate academic degree. One must already have an undergraduate degree to apply for a master's program. Most master's degree program would require students to complete a master's thesis or research paper.

The computing field covers a wide range of studies, including information systems, computer engineering, information technology, computer science and software engineering. Different computing disciplines may cover software and hardware system building and design, the creation of intelligent computers, information structuring and scientific research.

The Czech Republic, is a landlocked country in Central Europe. The country is bordered by Germany to the west, Austria to the south, Slovakia to the east and Poland to the north. Its capital and largest city, with 1.3 million inhabitants, is Prague.

Top Master Programs in Computing in Czech Republic 2017

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Master in Computational Sciences

Technical University of Ostrava
Campus Full time 2 years 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 Masters in Computing in Czech Republic 2017. 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 demanding these... [-]

Master in Computational Mathematics

Technical University of Ostrava
Campus Full time 2 years 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. [+]

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 responsibility for the results. They possess communication skills that enable... [-]

Master in Discrete Models and Algorithms

Charles University Faculty of Mathematics and Physics
Campus Full time 2 years 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. [+]

Best Masters in Computing in Czech Republic 2017. 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... [-]

Master in Computer Science: Computational Linguistics

Charles University Faculty of Mathematics and Physics
Campus Full time 2 years 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... [-]