Branch Profile

This program 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 a 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 visualization, 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 program 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 a number of such companies demanding these skills and knowledge, as HPC covers practically all scientific fields. Experts who are able to apply their knowledge of HPC in combination with other fields of study, such as computational mechanics, or physics and chemistry, are also highly sought-after by R&D departments of renowned companies. These mainly include pharmaceutical, petrochemical, mechanical engineering, and other technological and high-tech companies.

Graduation Requirement

120 ECTS Credits, Final state examination, Diploma thesis.

Course Structure Diagram with ECTS Credits

List of courses is available at the detailed branch description page 30 ECTS credit per semester.

Program taught in:
  • English

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This course is Campus based
Start Date
Sep 2019
Duration
2 years
Full-time
Price
8,000 EUR
Deadline
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Sep 2019
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Sep 2019

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