Master's Degree in Computer Science in Ostrava in Czech Republic

Compare Masters Programs in Computer Science 2017 in Ostrava in 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.

Although the foundations for computer science have existed for years, it wasn’t until the past century that the most leading technology has been developed. In the 1940s, more exact computing machines were created.

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.

Request Information Master's Degrees in Computer Science in Ostrava 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. [+]

Masters in Computer Science 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... [-]

Master in Automation and Computing in Industrial Technologies

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

Masters in Computer Science in Ostrava in 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 responsibility... [-]

Master in Computer Science and Technology

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