Master's Degree in Engineering & Technology in Nizhny Novgorod in Russia

Compare Masters Programs in Engineering & Technology 2017 in Nizhny Novgorod in Russia

Engineering & Technology

In order to successfully obtain a Masters qualification, you will need to obtain a number of credits by passing individual modules. Most taught Masters will have a number of core modules which you must take and pass in order to obtain the qualification. The assessment of research Masters is almost always entirely by a single dissertation module or project.

Studies in engineering and technology prepare you for the technologically oriented workforce of today.

Members of the workforce with engineering and technology training are sought out by many industries including medical research and computer software development.

 

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.

With a population of over 1 million residents, Nizhny Novgorod city is the 5th largest city in Russia. It is located in the Novgorod Oblast and is an economic and cultural hub in that area. It has 9 universities.

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Master in Supercomputer Technologies and High Performance Computing

National Research Lobachevsky State University of Nizhni Novgorod
Campus Full time 2 years October 2017 Russia Nizhny Novgorod

The goal of this program is to train highly skilled specialists in supercomputer technologies, parallel programming and computations. [+]

Masters in Engineering & Technology in Nizhny Novgorod in Russia. The goal of the Master’s program is to train highly skilled specialists that have all modern scientific knowledge and practical skills necessary for using huge computational potential of high performance computer systems including parallel programming and database technologies, computer networks, parallel computations in applications, computer vision and others. The training courses of the educational program provide the necessary theoretical knowledge and the advanced practical training in supercomputer technologies and high performance computing. A considerable part of the study training is the broadened laboratory practical works intended for applying the studied knowledge and skills to solve practical problems of different complexity from the various application fields. The educational Master’s program is divided into basic and advanced blocks. The training courses of the basic block cover the main SC&HPC areas, while the courses constituting the advanced block are focused on using the parallel programming in selected knowledge domains. During the studies, the students will have access to the latest high performance hardware platforms (cluster systems with multicore computational nodes, graphic processors, coprocessors) to carry out the practical works on the courses. The supercomputer at the University of Nizhny Novgorod is one of the most powerful systems in the world. [-]

Master in Mathematics and Computer Science

National Research Lobachevsky State University of Nizhni Novgorod
Campus Full time 2 years October 2017 Russia Nizhny Novgorod

The programme aims at developing professionals for systems integrators and software companies, large and medium-sized enterprises. [+]

Master’s degree programme in Mathematics and Computer Science aims at developing professionals for systems integrators and software companies, large and medium-sized enterprises with their own IT departments, research organizations conducting research and development in the field of high technology.

Graduates of the programme are specialists in the field of mathematics and computer science. The Master's programme focuses on computer modeling, simulation and visualization of technological and economic processes. This allows graduates to work not only in the field of information technology where they need to process and present the information, but also in areas requiring the development of mathematical models, data analysis, developing computational algorithms and their implementation. ... [-]