Master's Degree in Computer Engineering in Russia

View all Masters Programs in Computer Engineering in Russia 2017

Computer Engineering

The benefits of a Masters extend beyond improving your earning potential. They can provide you with personal and professional skills to accelerate your development. They are also an opportunity to differentiate yourself from your peers, many of whom will have similar A-level and undergraduate qualifications.

A Master in Computer Engineering is a degree that emphasizes on the practical applications of hardware and software design. These include data acquisition, automation and manufacturing or communications. Graduates will be able to systems in a diversity of environments.

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 Programs in Computer Engineering in Russia 2017

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Master in Applied Computing in Engineering and Science

Siberian Federal University
Campus Full time 2 years October 2017 Russia Krasnoyarsk

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

Best Masters in Computer Engineering in Russia 2017. 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. Therefore, specialists having good knowledge and skills in computing are rather required by the labor market in all developed countries. This program was developed in the framework of the EU Tempus program in cooperation with: Technische Universitat Wien (Austria), Bergische Universitat Wuppertal (Germany), Katholieke Universiteit Leuven (Belgium) and other universities. It focuses on mathematical methods in applied sciences (simulation of complex mechanical and physical systems), numerical methods and symbolic computation. The program curriculum and research projects proposed for our students are based on more than 20 years long cooperation with the leading producer of Russian GLONASS navigation satellites — Reshetnev center situated near Krasnoyarsk. Many of our courses are aimed at application of navigation signal processing. Our local supercomputing cluster provides the necessary research and training facilities. Entry Requirements BSc or MSc degree in Mathematics, Physics or Computer Science (transcript of records), good command of English (certificate or other document). Accommodation On-campus accommodation is available in double and triple-occupancy rooms (€ 20 per month). Airport transfer, invitation letter for a Russian study visa and an optional survival course of Russian as a foreign language are provided by the University. [-]

Master in Computer Science and Knowledge Discovery

Saint Petersburg Electrotechnical University
Campus Full time 2 years September 2017 Russia St. Petersburg

The structure of the degree program consists of advanced professional studies, elective courses and Master’s Thesis. [+]

The structure of the degree program consists of advanced professional studies, elective courses and Master’s Thesis. Graduates will be able to use modern information and communication technologies (applied software packages, local and global computer networks) for acquiring, processing and analyzing various types of information. Graduates will also manage to estimate software quality and apply software for solving professional tasks in various fields. Graduates will have special knowledge in software techniques of information security. Special skills will be obtained in the field of applied and computer mathematics. Furthermore, students will also acquire professional skills in mathematical modelling and advanced data analysis. Special training will be provided in the fields of artificial intelligence (data mining), signal and image processing, parallel and distributed computing, and biometric technologies. Program curriculum includes the following advanced courses: Intelligent systems; Computer tools in education; Algorithmic mathematics; Professionally oriented foreign language; Digital signal processing; Advanced mathematical methods; Information technologies in academic research and project activity; Parallel computing; Advanced data analysis and machine learning; Languages for hardware design and verification; Biometric technologies; Distributed systems and technologies; Mathematical modelling of linear and non-linear systems; Basics of system theory; Data and visual analytics; Information security; Foreign language; Mathematical foundations of computer science; Computational systems; Social communications in professional environment; Commercialization of academic results and developments; Algorithm design and optimization; Software development technology. The department of Computer Science and Engineering is one of the oldest and most renowned departments in the University (founded in 1931). The research areas of the department encompass software and hardware development and verification, development of FPGA, digital signal processing, distributed systems, microprocessor systems, artificial intelligence and machine learning, parallel computing, embedded systems, etc. Students will have access to high-performance cluster with cloud computing and modern software-hardware systems. Programme: 120 ECTS credits, full-time study (2 years), Master’s Degree Eligibility: candidates must hold a Bachelor's Degree in the corresponding field Scholarship: scholarship covers the tuition fee and some study materials An academic year includes 2 semesters beginning on 1st September and 10th February, Winter holidays - 2 weeks, Summer holidays - 2 months (July, August). Master’s Thesis defense is in June. Educational programs of «LETI» are constantly modernized, following the principle «Training through research». Graduates of our university receive new, profound knowledge and practical skills of work. [-]

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. [+]

Best Masters in Computer Engineering in Russia 2017. 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. [-]

MSc in Big Data Systems

Higher School of Economics
Campus Full time 2 years September 2017 Russia Moscow

Focusing on the value aspect and implementation of big data for large enterprises, preparing students for applied work and research [+]

This programme focuses on the value aspect and implementation of big data for large enterprises. Big data technology has incredible value across financial, telecommunications, and government services, with the possibility of reducing costs and improving efficiency.

Through core courses, electives, research seminars, and a master’s thesis, students acquire a strong foundation in the fundamental principles and technological components of big data. From cloud computing and data visualization to predictive modeling and big data-based risk analytics, a wide array of topics are available for students to master.

Graduates go onto careers working on systems within large companies and organizations or carrying out scientific research.... [-]