See Masters Programs in Cloud Computing 2019 in Arkhangelsk in Russia
A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.
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 (Russian: Россия) is by far the largest country in the world, covering more than one-eighth of the Earth's inhabited land area. The former State Committee for Higher Education in Russia financed 240 universities, academies and institutes, making Russia a solid country to study in.
Arkhangelsk city is situated on the banks of Dvina River to the north in Arkhangelsk Oblast region of Russian. The city has 3 universities. The cities residents who number above 300,000 have a strong attachment to religion and their culture.
Request Information Master's Degrees in Cloud Computing in Arkhangelsk in Russia 2019
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,
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)