The academic program in Artificial Intelligence is a curated sequence of courses embedded within undergraduate curriculum of the MSU Faculty of Computational Mathematics and Cybernetics
spanning three years, the curriculum progresses from foundational study in machine learning, deep learning and neural network to advanced electives across contemporary AI.
The complete course catalogue is available on the official website.
The program is open at no additional cost to all undergraduate students of the Faculty. Participants may shape individual academic pathway aligned with their specialization and intellectual interests
To earn the program certificate, students are to complete:
Three required courses
At least four approved electives
A final qualifying thesis focused on AI
Vasily Vladimirovich Fomichev
Alexander V. Khvostikov
PhD Candidate of Physico-Mathematical Sciences, Junior Researcher, Laboratory of Mathematical Methods of Image Processing, MSU.
Area of scientific interests:
image processing and analysis, computer vision, medical images, machine learning, deep learning, convolutional neural networks, hybrid methods.
Andrey V. Nasonov
PhD Candidate of Physico-Mathematical Sciences, Senior Researcher at the Laboratory of Mathematical Methods of Image Processing, MSU.
Area of scientific interests:
mathematical methods for improving image quality, regularization methods.
Anton S. Konushin
PhD Candidate of Physico-Mathematical Sciences, Associate Professor of the Department of IIT, СMC MSU. Head of the Artificial Intelligence Department, Samsung Research Center LLC.
Area of scientific interests:
computer vision
Denis Y. Turdakov
PhD Candidate of Physico-Mathematical Sciences, Associate Professor of the Department of Joint Venture, СMC, MSU.
Area of scientific interests:
natural language processing, machine learning, data mining, social network analysis, distributed data processing.
Dmitriy P. Vetrov
PhD in Physics and Mathematics, Research Professor at the HSE Faculty of Computer Science, Head of the HSE Center for Deep Learning and Bayesian Methods.
Area of scientific interests:
Bayesian machine learning methods, studying the relief of the loss function in neural network models, deep learning, diffusion models.
Dmitry S. Vatolin
Candidate of Physical and Mathematical Sciences, Senior Researcher, Head of the Laboratory of Computer Graphics and Multimedia, Faculty of Computational Mathematics and Cybernetics, MSU.
Area of scientific interests:
Video Compression, Video Processing, Stereo Processing, 3D Video, Video Quality
Dmitry V. Sorokin
PhD Candidate of Physico-Mathematical Sciences, Senior Researcher at the Laboratory of Mathematical Methods of Image Processing, MSU.
Area of scientific interests:
mathematical methods of image processing and analysis, biomedical image processing.
Dmitry Y. Buryak
PhD Candidate of Physico-Mathematical Sciences, Assistant of the Department of SKI, СMC, MSU.
Area of scientific interests:
neural networks, deep learning, signal processing, pattern recognition, parallel computing.
George V. Kuryachiy
Programmer of the first category of СMC, MSU
Area of scientific interests:
architecture of operating systems, programming paradigms.
Mikhail M. Tikhomirov
Junior Researcher at the Scientific Research Center of MSU.
Area of scientific interests:
natural language processing, neural networks, thesauri
Mikhail V. Erofeev
PhD Candidate of Physico-Mathematical Sciences, Programmer at the Laboratory of Computer Graphics and Multimedia, СMC MSU
Area of scientific interests:
Video Processing, Image Processing, Machine Learning
Natalya V. Lukashevich
Doctor of Technical Sciences, Leading Researcher at the Scientific Research Center of MSU, Professor of the Department of Theoretical and Applied Linguistics at the Faculty of Philology of MSU, Associate Professor at the Department of Mathematics and Mathematics, MSU.
Area of scientific interests:
automatic text processing, ontologies.
Nickolay V. Arefiev
PhD Candidate of Physico-Mathematical Sciences, Junior Researcher at the Department of Algorithmic Languages, СMC, MSU.
Area of scientific interests:
computational lexical semantics, natural language text processing, multimodal models, machine learning, neural networks.
Victor V.Kitov
PhD Candidate of Physico-Mathematical Sciences, Associate Professor of the Department of Mathematical Forecasting Methods, СMC, MSU.
Area of scientific interests:
methods of automatic image processing and stylization, data analysis and forecasting using machine and in-depth learning.
Vladimir D. Mayorov
mathematician of the first category of the Department of JV, СMC of MSU.
Area of scientific interests:
natural language text processing, machine learning, artificial intelligence, mathematical methods of data mining, knowledge bases.
Vladislav I. Shakhuro
Engineer of the Laboratory of Computer Graphics and Multimedia, Department of IIT, СMC MSU. Engineer of the AI Department of Samsung Research Center LLC
Area of scientific interests:
computer vision, generative models
Andrey S. Krylov
Doctor of Physico-Mathematical Sciences, Professor, Head of the Laboratory of Mathematical Methods of Image Processing, CMC MSU.
Area of scientific interests:
mathematical methods of processing and analyzing multimedia information, inverse and incorrect problems.
Andrey V. Boreskov
PhD Candidate of Physico-Mathematical Sciences, Researcher at the Department of Nonlinear Dynamical Systems and Control Processes at СMC MSU.
Area of scientific interests:
computer graphics, global lighting, GPU programming technologies, Vulkan.
Archil I. Maisuradze
PhD Candidate of Physico-mathematical Sciences, Associate Professor of the Department of MMP, CMC MSU.
Area of scientific interests:
data mining, machine learning, AI; data models, including intermediate complexity; methods of transformation, analysis and interpretation of multidimensional data and hierarchical structure data; various formalizations of the concept of similarity, ways of representation and methods of transformation of metric information; visualization.
Elena I. Bolshakova
Associate Professor of the Department of Algorithmic Languages, СMC MSU
Area of scientific interests:
artificial intelligence, computational linguistics, programming languages for artificial intelligence.
Evgeniy A. Iliushin
Programmer at the Laboratory of Open Information Technologies, CMC MSU
Area of scientific interests:
machine learning, data mining, security of AI systems
Mary A. Kazachuk
PhD Candidate of Physico-Mathematical Sciences, Assistant Professor of the Department of Intelligent Information Technologies, CMC MSU.
Area of scientific interests:
data mining, machine learning methods, computer security.
Nadezhda V. Gruzdeva
PhD Candidate of Physico-Mathematical Sciences, Researcher at the Department of Algorithmic Languages, CMC MSU.
Area of scientific interests:
artificial intelligence, knowledge representation and learning systems
Natalya V. Baeva
Junior Researcher at the Department of Algorithmic Languages, MSU.
Area of scientific interests:
artificial intelligence, computational linguistics, game learning.
Oleg I. Goncharov
PhD Candidate of Physico-Mathematical Sciences, Associate Professor of the Department of Nonlinear Dynamical Systems and Control Processes, CMC MSU.
Area of scientific interests:
theory of automatic control and control problems of nonlinear dynamic systems, mechatronics, robotics. In recent years, work has been related to ways to combat imperfections that arise in the practical implementation of mechatronic control systems (measurement quantization, friction force), as well as the tasks of controlling the movement of robots.
Sergey V. Gerasimov
Engineer of the Department of Intelligent Information Technologies, CMC MSU.
Area of scientific interests:
financial applications of machine learning, intelligent analysis of astrophysical data, horizontally scalable big data processing technologies.
Vadim V. Sanzharov
Junior Researcher at the Laboratory of Computer Graphics and Multimedia, СMC MSU.
Area of scientific interests:
computer graphics, global lighting, GPU programming technologies, Vulkan.
Vladimir A. Frolov
PhD Candidate of Physico-Mathematical Sciences, Researcher at the Laboratory of Computer Graphics and Multimedia, CMC MSU.
Area of scientific interests:
computer graphics, global lighting, differentiable rendering, GPU programming technologies, FPGA.The "Introduction to Artificial Intelligence" course is currently open to all students of the Faculty of Computational Mathematics and Cybernetics at Lomonosov Moscow State University. Given the interest in this field, anyone wishing to join is welcome.
Classes for the first cohort of the Academic Program began on February 8, 2021, in a remote format (via ZOOM). For convenience, all lecture materials are available to course participants on a dedicated platform.
The first graduation of this program will take place in 2024.
Detailed information about the dates and registration process for the 2023/2026 program will be posted separately.
Admission to the second cohort of the Academic Program in Artificial Intelligence ended in the second half of January 2022.
Any student of the Faculty of Computational Mathematics and Cybernetics can join the program.
Participants choose an individual path depending on their department and specialization. To successfully complete the program and receive a certificate, students will need to complete 3 required courses and at least 4 elective courses from the list of recommended courses, as well as defend a final qualification project related to artificial intelligence topics.
Training for students participating in the Academic Program began with the required course "Introduction to Artificial Intelligence" in February 2022. In the fall semester of 2022, the program will continue with the "Machine Learning" course and elective courses.
Detailed information about the dates and registration process for the 2023/2026 program will be posted separately.