Master's Degree in Computing in Ostrava in Czech Republic

View all Masters Programs in Computing 2017 in Ostrava in Czech Republic

Computing

Master-level studies involve specialized study in a field of research or an area of professional practice. Earning a master’s degree demonstrates a higher level of mastery of the subject. Earning a master’s degree can take anywhere from a year to three or four years. Before you can graduate, you usually must write and defend a thesis, a long paper that is the culmination of your specialized research.

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.

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.

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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. [+]

Masters in Computing in Ostrava in 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 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... [-]