Master's Degree in Cloud Computing in Arkhangelsk Oblast Russia

Top Master's Degrees in Cloud Computing in Arkhangelsk Oblast Russia

Cloud Computing

A masters refers to the completion of a graduate study program that prepares students to further their knowledge of a specific subject or advance their careers. The majority of masters are granted by state or public universities.

A combination of networking software and hardware skills are imparted to students seeking education in cloud computing. Such knowledge leaves them in good standing with the tech employers in today’s job market.

Russia or, also officially known as the Russian Federation, is a country in northern Eurasia. Education in Russia is provided predominantly by the state and is regulated by the Ministry of Education and Science. In Russia, it takes about 70 % of training time for the contact lessons with a teacher, the rest 30 % of the workload are devoted to the independent study of the material.

Top Master's Degree in Cloud Computing in Arkhangelsk Oblast in Russia

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Master in High-Performance and Cloud Computing

Northern (Arctic) Federal University
Campus Full time September 2019 Russia Arkhangelsk

MA program in High-performance and cloud computing is focused on the study and practical use of parallel computing systems solutions for computationally intensive tasks, the study of complex systems by modern methods of distributed and high-performance computing technologies, use of modern supercomputers and cloud technologies. [+]

Master in High-Performance and Cloud ComputingLanguage: EnglishMA program in High-performance and cloud computing is focused on the study and practical use of parallel computing systems solutions for computationally intensive tasks, the study of complex systems by modern methods of distributed and high-performance computing technologies, use of modern supercomputers and cloud technologies. Master in "High-performance and cloud computing" is a high-class specialist, able to work in high-priority areas of ICT:

Solving the complex problems (demands a system with the computational performance of 100TFlops and above) - to ensure the scalability of parallel algorithms and programs. Consolidation of resources and services (use of distributed computing technologies to enable effective choice and use of specific resources and services) ... [-]