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.

Apply now

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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 «Algorithms and Methods of Knowledge-Intensive Software Engineering»

Какие дисциплины я буду изучать?

  • Глобальные сети

  • Инструментальные средства разработки систем распознавания

  • Искусственные нейронные сети

  • Математическое и имитационное моделирование

  • Машинное обучение

  • Методы искусственного интеллекта

  • Нейронные сети, машинное обучение и Data Science

  • Облачные вычисления

  • Обработка естественного языка

  • Основы программирования для робототехнических систем

  • Программирование робототехнических систем

  • Современные технологии разработки мобильных приложений

  • Современные инструменты DevOps

Кем я буду работать?

  • Software Engineer
  • Systems Analyst
  • IT Project Manager
  • Information Systems and Resources Specialist
  • IT Manager
  • Software Development Analyst
  • Research Scientist
  • Research Engineer
  • Data Analyst
  • Machine Learning Specialist
  • C#/Java/Python Developer

Teachers

Rinat Nailevich Sadekov

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

Research interests: development of intelligent algorithms for recognition, navigation and control of public urban transport using tram systems as an example.

r.sadekov@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

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 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

Gallery

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.

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.

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