Artificial Intelligence and Robotics

Robots and artificial intelligence systems are transforming modern industries—from autonomous transportation and healthcare to manufacturing. Companies increasingly seek specialists who can develop, train, and integrate intelligent solutions in finance, logistics, industry, and other key sectors.

The Artificial Intelligence and Robotics track at NUST MISIS combines in-depth mathematics and programming with applied disciplines: mechatronics, reinforcement learning, multi-agent systems, and digital twin development.

Graduates are skilled in developing software that makes robots smart, precise, and efficient. The program is based on the fundamental higher education model, awarding the Engineer-Researcher qualification, allowing graduates to access advanced career positions without needing to pursue a master’s degree.

Duration of the program: 6 years. Full-time education in Russian.

Apply now

Learn more

Apply now

Learn more

Albert Ruvimovich Efimov

Ph.D. in Philosophy, Acting Head of the Department of Engineering Cybernetics, Vice President — Director of Research and Innovation Department of Sberbank

+7 499 236-25-35
efimov.ar@misis.ru

Направление подготовки:

Код 01.03.04

Applied Mathematics

Институт:

О треке «Artificial Intelligence and Robotics»

What courses will I study?

  • Fundamentals of Mechatronics
  • Basics of Electrical Engineering and Electronics
  • Fundamentals of Mobile Robotics
  • Robot Programming
  • Computer-Aided Design (CAD) Systems
  • Numerical Methods in Linear Algebra
  • Reinforcement Learning
  • Artificial Intelligence and Multi-Agent Systems
  • Integration of Technological Solutions for Robotic Systems Functionality
  • Digital Twins
  • AI in Bioengineering
  • Machine Learning System Design
  • Deep Multimodal Models
  • Internet of Things (IoT) and Sensor Networks
  • Methods of Engineering Analysis and Modeling
  • Virtualization and Containerization Systems
  • Mathematical Foundations of Machine Learning
  • AI Methods in Robotic Systems
  • Visual Tracking and Navigation Systems

Кем я буду работать?

  • Robotics Engineer
  • Control Systems Developer (C++/Python)
  • Automation and AI Implementation Engineer
  • Systems Analyst
  • Software Engineer
  • MLOps Engineer
  • DevOps Engineer
  • Research Scientist

Teachers

Alexander Segreevich Kozharinov

Ph.D. in Engineering, Associate Professor at the Department of Engineering Cybernetics

Research interests: expert systems, modeling and analysis of business processes, artificial intelligence methods, special chapters on databases, course research papers.

kozharinov@misis.ru

Galina Viktorovna Kruzhkova

Ph.D. in Economics, Associate Professor at the Department of Engineering Cybernetics

Research interests: industrial economics, management of economic activities of secondary metallurgy enterprises of precious metals.

g.kruzhkova@misis.ru

Ilya Ilyich Kurochkin

Ph.D. in Engineering, Associate Professor at the Department of Engineering Cybernetics

Research interests: global networks, cloud and distributed computing, cloud technologies.

ii.kurochkin@misis.ru

Мишуров Сергей СергеевичМишуров Сергей Сергеевич

Sergey Sergeyevich Mishurov

Doctor of Economic Sciences, Professor of the Department of Engineering Cybernetics

Research interests: economics and management, digital logistics, digital vision, mathematical modeling

mishurov.s@misis.ru

Dmitry Valerievich Polevoi

Ph.D. in Engineering, Associate Professor at the Department of Engineering Cybernetics

Research interests: programming technologies, tools for developing recognition systems, intelligent image processing, special chapters of computer science and computing technology.

polevoy.dv@misis.ru

Alexander Vladimirovich Soloviev

Doctor of Engineering Sciences, Professor of the Department of Engineering Cybernetics

Research interests: intelligent systems, expert and analytical AI systems, databases, digital twins.

avsolovev@misis.ru

Ivan Alexandrovich Tarkhanov

Ph.D. in Engineering, Associate Professor at the Department of Engineering Cybernetics

Research interests: development of information security solutions using blockchain technologies, including DApps, NFT and DAO structures.

i.tarhanov@misis.ru

Andrey Ilyich Tikhonov

Doctor of Engineering Sciences, Professor at the Department of Engineering Cybernetics

Research iinterests: computer modeling of physical processes, calculation of fields and circuits, design of electrical devices, optimization and declarative programming, information theory, systems approach to ecology and evolution.

tikhonov.ai@misis.ru

Andrey Viktorovich Filimonov

Ph.D. in Engineering, Associate Professor at the Department of Engineering Cybernetics

Research interests: AI, data analysis, system and application software, recommender systems.

filimonov.av@misis.ru

Algorithms and Methods of Knowledge-Intensive Software Engineering

Do you want to join a community of smart technology creators? Studying in this educational track will enable you to become an IT specialist in high demand in the global industry. You will learn relevant mathematical models and methods; gain skills in data analysis, machine learning, and the modeling of complex systems and processes. You’ll be able to program in three languages, implement innovative IT solutions, create computer vision systems, artificial intelligence, program robots, build “smart cities,” and develop digital services.

The duration of the program is 4 years.

Robotics and Cyber-Physical Systems

Do you want to learn how to program robots and control artificial intelligence? Did you know that the science of controlling technical systems is one of the most fascinating fields in applied mathematics?

Studying in this educational track will prepare you to become a specialist in the automation and robotization of technological processes. You will study automatic control theory and the specifics of robotic and cyber-physical systems. You will learn how to modernize processes and enterprises.

Our students regularly win prizes in robotics competitions and can secure jobs at partner labs — such as those of the Sber Group — even while still studying.

The duration of the program is 4 years.

Applied Mathematics for Intelligent Systems

Master the skills that will become your gateway to innovative companies and leading research centers. The Applied Mathematics in Intelligent Systems track is designed following the model of a fundamental higher education program, granting the qualification of Engineer-Researcher, which enables graduates to pursue higher-level positions without the need for a master’s degree.

You will learn to build mathematical models, train machine learning algorithms, work with big data, and develop intelligent control systems. Our students gain proficiency in programming languages such as Python, C++, Go, Rust, and JavaScript, applying them in real projects in collaboration with leading IT companies and research centers.

Graduates go on to work at Sberbank, Yandex, Kaspersky Lab, Wildberries, and other tech companies, creating innovative digital services and products.

Duration of the program: 6 years. Full-time education in Russian.

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