Mathematical Methods in Artificial Intelligence and Data Analysis

The Master’s program in Mathematical Methods in Artificial Intelligence and Data Analysis trains professionals capable of building advanced models for machine learning, computer vision, and natural language processing. The program is focused on the practical application of AI in industry, fintech, blockchain ecosystems, quantum technologies, bioengineering, and other digital services. Education combines deep mathematical training with solving real-world problems using cutting-edge AI technologies. Graduates will be able to analyze big data, optimize business processes, develop intelligent systems and recommendation engines, and build careers in IT companies, research centers, and high-tech industries.

2 years of study

Full-time education in Russian

399 000 ₽

Admissions

Details of admission

E-mail: welcome@misis.ru

International Students Service +7 499 649-44-80

Personally: Moscow, Leninsky Prospekt 4, block 1 (main building), 1st floor

Key Disciplines

20
subjects in AI, robotics, and quantum computing

MLOps Methodology in AI System Development

AI Methods in Robotic Systems

Engineering Analysis and Modeling Methods

Digital Twins

Computer Vision

Blockchain Technologies and AI

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

Natalia Alexandrovna Evstifeeva

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

Research interests: creation of innovative solutions in the field of artificial intelligence for processing and understanding natural language.

trigub.na@misis.ru

Emin Rafailovich Tagiev

Senior Lecturer at the Department of Engineering Cybernetics, Sberbank Employee

Research interests: research and implementation of advanced methods of machine learning, deep learning and computer vision in applied and scientific problems.

tagiev.er@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

Sergey Vladimirovich Shirkin

Senior Lecturer at the Department of Engineering Cybernetics

Research interests: development and application of quantum computing and quantum machine learning methods to solve complex computational problems

shirkin.sv@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

Igor Yurievich Fedorov

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

Research interests: integration of artificial intelligence into robotic systems and manufacturing processes to improve efficiency and automation.

i.fedorov@misis.ru

Professions

  • AI Specialist
  • Data Scientist
  • Data Engineer
  • Technical Analyst
  • AI Architect
  • AI Researcher