News
About
The Department of Intelligent Systems at the Phystech School of Applied Mathematics and Informatics (MIPT) is a leading center for education and research in applied mathematics, data science, and artificial intelligence. The department offers bachelor’s and master’s programs in “Applied Mathematics and Physics” with specializations in Data Science, Intelligent Systems Design, and Machine Learning.
Founded by academician Konstantin Vladimirovich Rudakov and developed within the scientific school of academician Yuri Ivanovich Zhuravlev, the department is based at the Computing Center of the Russian Academy of Sciences. Our faculty includes renowned professors, young scientists, and industry experts, with an average age of 35 years.
Research at the department covers machine learning, multivariate statistics, deep learning, model selection, generative neural networks, and analysis of complex data. Applied projects include text and image analysis, biomedical signal processing, and brain-computer interfaces. The department actively collaborates with international universities, research centers, and high-tech companies, offering students unique opportunities for internships, double degrees, and joint research.
We value openness, innovation, and continuous improvement, supporting students with scholarships and personal mentorship. Join us to study, research, and innovate in the field of intelligent systems!
2003
year the department was founded
>50%
of graduates defended PhD dissertations
<35
years average age of courses instructors
170+
open source projects on GitHub
every
semester
students submit research reports: paper-code-presentation
NeurIPS,
ICML, ICLR,
AISTATS
top-tier conferences publish our research
Personalities
We are proud of our founders and lecturers, who have made significant contributions to the field of intelligent systems. Their work has paved the way for advancements in artificial intelligence and machine learning.
Courses
We offer a range of courses in applied mathematics, data science, and machine learning for both bachelor's and master's students. Our curriculum is designed to provide a strong theoretical foundation along with practical skills needed in the industry.
Bachelor
My First Scientific Paper
Bayesian Model Selection
Deep Learning
Mathematical Forecasting Methods
Introduction to Machine Learning
Programming Practicum in Python
Recommender Systems
Creation of Intelligent Systems
Software Engineering for Machine Learning
Master
Research
We openly publish research results and invite collaboration with students, researchers, and industry partners.
Our department conducts fundamental and applied research in machine learning, data analysis, artificial intelligence, and related fields. Results are published in open access and presented at international conferences. We welcome joint projects and new ideas!
Focus areas: ML algorithms, AI research, data science
Students participate in real research, prepare diploma theses, and publish their results. We support open publication of code and articles, and invite everyone to collaborate on thesis topics and research projects.
Student work: Bachelor's & Master's theses, publications
We support the research of our students by awarding several scholarships each semester. The scientific academic scholarship named after K.V. Rudakov is awarded to undergraduate and graduate students for academic and research excellence. Sponsored by Forecsys Group.
Since the beginning, the department has been actively cooperating with the base companies of the Forecsys Group of Companies and participates in joint projects with leading tech companies.
Forecsys
Antiplagiat
Yandex
SBER
Our Life
Here we share some moments from our department's life, including events, student activities, and memorable experiences.
Bachelors 2025'
Masters 2025'
Bachelors 2024'
Masters 2024'