Directions of study
We teach you how to create and work with artificial intelligence systems that incorporate the latest advancements in neural networks, language models, and robotics. Our students and employees publish more than 10 articles per year and attend international conferences such as AAAI and ICRA.

Оur presentation
  • Masters
    Applied Mathematics and Informatics
    • Direction of training — 09.04.01
    • 2 years of study
    • 25 places

    Program:
    "Methods and technologies of artificial intelligence"

    Criteria: to solve complex problems in the field of artificial intelligence, it is essential to have a strong background in mathematics, including discrete mathematics and statistics. Knowledge of programming languages such as Python and its basic libraries is also crucial. C++ is also recommended for more advanced projects.

    Recruitment will begin in spring 2026. Stay tuned for updates on the website.
  • PhD
    Group of scientific specialties:
    1.2 Computer Science and Informatics

    • 5 places
    • acceptance of documents starts in spring
    • exams: mathematics, specialty, interview
How to join?
An excellent knowledge of statistics, linear algebra, and discrete mathematics is required to complete all admissions tests to work in the laboratories of the Cognitive Modeling Center. Strong knowledge of Python, data science fundamentals, and neural networks are also required. The dates of admission and the rules for passing the exams are common for all MIPT applicants, they can be found on the website of the admissions committee - http://pk.mipt.ru. As a prerequisite for admission to targeted places in the Center, it is necessary to pass a preliminary interview.
Stages of admission
Fill out a form on the website and pass an interview
Apply documents for the program
Pass entrance exams
Enrollment
Benefits
  • current research topics
  • employment and paid internships in the leading laboratories of the IPII FRC IU RAS and MIPT
  • high scholarship for postgraduate students up to 80 tr/month undergraduates up to 30 tr/month
Master's and PhD theses
  • active knowledge presentation
  • neuromorphic learning algorithms
  • reinforcement learning
  • application systems
  • navigation, mapping and localization
  • computer vision
  • intelligent control of robotic systems
  • answers to questions about the image
  • semantic segmentation
  • decision support systems