One of the best Russian universities – HSE University – which is in Top 50 of the THE Young University Rankings, 2023 QS World University Rankings is a place where one can study almost any subject (with exception of medical sciences), 1st place in Forbes Russia . Over the last thirty years, the University has established its reputation as a leader in higher education. HSE University’s campuses are located in Russia’s four largest cities: Moscow, St. Petersburg, Nizhny Novgorod and Perm. Each campus has all facilities necessary for students, including libraries, canteens, free WiFi, cafes and convenient locations in terms of transport services. Moreover, all international students are provided with places in up-to-date dormitory facilities. There are degree programmes at various levels – from Lyceum for school students all the way to doctoral schools. These include 8 Bachelors’ programmes and 40+ Master’s programmes that are taught entirely in English, including the first in Russia online Master’s programme ‘Master of Data Science’. Tuition and living costs in Russia are relatively low, in comparison with those of other countries, while the quality of instruction, the University’s practice-oriented approach with basic departments of companies such as Yandex, E&Y, SAS, etc., and its degree programmes have received international recognition. Comfortable living and learning conditions, 150+ student clubs and attention to foreign students (special services for them) make the university truly global. 96% of HSE graduates are employed at the time of graduation, and during their studies they have the opportunity to take internships in partner companies. A degree from HSE University is a guarantee of finding a high-quality job in today’s labour market.
Academic: GPA of 3.0 or above on their studies to date
English Language:
– IELTS: 6.0 (no subscore below 5)
– TOEFL iBT: 78 (Reading 18 | Writing 17 | Listening 17 | Speaking 20)
– Duolingo English Test: 100 (literacy 80, production 80, comprehension 90, conversation 90)
01 September 2024 – 31 January 2025
Available Courses
The biodiversity management, management of biodiversity in planning and project cycle of industrial facilities and EIA, biodiversity monitoring , management of biodiversity in the implementation of compensation projects, new requirements of Russian legislation on biodiversity conservation
The course is designed for a deep understanding and deep understanding of corporate computer networks, including different types of VPN implementations (point-to-point, multipoint). The course provides knowledge about the software-defined networking paradigm, search for feature virtualization and overlay technologies, including VXLAN and NVGRE.
A control system manages, commands, directs, or regulates the behavior of other devices or systems using control loops. It can range from a single home heating controller using a thermostat controlling a domestic boiler to large industrial control systems which are used for controlling processes or machines.
Environmental design is a discipline that is an extension of the discipline of Life Cycle Assessment. Helps to understand and study the concept of life cycle assessment and environmental design for environmental management purposes much deeper.
Students will gain an understanding of the basic tasks and methods of machine learning and data mining, study the statistical foundations of machine learning theory, learn how to solve the problem of classification, regression, clustering using machine learning methods and algorithms, and evaluate the quality of solutions, learn to apply software for machine learning for solving domain-specific problems.
The course targets on basics of the modern mobile device platforms, analysis and testing of mobile applications, cryptographic protection methods in mobile devices and wireless communication systems, software and hardware protection of data storage systems in mobile devices. The course main aims are: introducing and reviewing cryptographic methods for protecting mobile devices and wireless protocols. learning the main categories of threats for mobile devices, threat models for modern mobile operating systems; studying access control models for mobile operating systems; choosing software and hardware tools for mobile device analysis; developing design solutions for the use of software and hardware (including cryptographic) means of protecting mobile devices.
The course targets on basics of the modern methods of supporting security for network services, tuning firewalls and network IDS/IPS systems, detecting attacks and data logging, secured channels of data interaction and tunneling. The course main aims are: • emphasizes on how to tune Linux server to make it more protected against attacks; • learning the principles of network attacks and protection of network services; • introduce some techniques of secured interaction between computers; • working with network protection tools with realistic cases; • analysis of network traffic and detection attacks on it; • configuring some network services; • working with vulnerabilities and risks; • reviewing scenarios of network attacks and how to prevent it.
The discipline “Sensorless control” is devoted to methods of synthesis of adaptive observers of state variables and parameters and algorithms of sensorless control for electromechanical systems. The course includes the principles of modeling of electromechanical systems such as synchronous motors, the basic principles of vector control of AC motors, the study of adaptive observers and sensorless controllers. Nonlinear parameterization of the mathematical model of a synchronous motor, signal filtering techniques, a standard gradient descent-based estimator and a dynamic regressor extension and mixing algorithm are used to construct adaptive state variable observers. Completing practical tasks students acquire skills in construction of models of electromechanical systems, adaptive observers and sensorless controllers in the MATLAB Simulink environment.
Study of the basic concepts and principles of waste management -Formation of the waste management system of the enterprise -An acquaintance with the basic reporting in the field of waste management and the basics of office work in waste management -Acquisition of knowledge in the field of licensing activities in the field of waste management, organization, and implementation of environmental audit in the field of waste management.
During the course, we study the problems of transition to alternative energy and consider practical cases of this transition on the example of specific objects. The course includes concepts of circular economy, sustainable design, visual ecology, methods for evaluating the effectiveness of implemented technologies, topics and tools. The result of the training is a course project with a calculated part and an assessment of the risk of negative impact on the environment, which reflects the results of the student’s research on the problem of full or partial transition to a source or set of sources of alternative energy.