Master's Degree in Computer Science in Krasnoyarsk in Russia

Compare Masters Programs in Computer Science 2018 in Krasnoyarsk in Russia

Computer Science

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.

There are several fields that make up the broader field of computer science. One of these fields is the computational complexity theory, which can be very abstract. Other fields, such as computer graphics, deal more with concrete and hands-on visuals.  

 

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, environment 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. ... [-]