Master's Degree in Engineering in Krasnoyarsk in Russia

View Masters Programs in Engineering 2018 in Krasnoyarsk in Russia

Engineering

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.

 

An engineering studies program is a great way to discover more about the field and discipline of engineering. Students might learn about a specific subfield or cover engineering in general, and may also be able to study real-world engineering problems and their solutions.

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.

Krasnoyarsk city is located along the Yenisei River in Krasnoyarsk Krai, Russia. The city has a population that is just shy of 1 million people. It is among the chief producers of aluminum in Russia. Krasnoyarsk has over 30 campuses, and around 200 high schools.

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Master in Applied Computing in Engineering and Science

Siberian Federal University
Campus Full time 2 years October 2018 Russia Krasnoyarsk

Siberian Federal University (School of Space and Information Technologies) offers English-taught Master's Degree Program “Applied Computing in Engineering and Science”. [+]

Siberian Federal University (School of Space and Information Technologies) offers English-taught Master's Degree Program “Applied Computing in Engineering and Science”.

Rapid development of computational methods enabled to implement new approaches in different areas, e.g. engineering, economics, bioinformatics, environmental sciences, social sciences, etc. In research and development, as well as in management, we can see the trends to:

creating mathematical models for descriptions and simulation of real systems, their properties, and behavior; using complex statistical methods in order to evaluate the chances of certain cases and reliability, e.g. in quality assurance, setting up parameters of social security systems, cancer research, etc. ... [-]