Master of Science
in Mathematics and Computer Science
about the program
The Skoltech Data Science program aims to train young leaders in artificial intelligence research. We provide high-quality knowledge and skills in fundamental and applied disciplines such as deep learning, generative modeling, transformers and large language models, numerical linear algebra, and optimization. The courses are taught by top active researchers in AI with publications at A* conferences and dozens of successfully completed industrial projects.

The graduates are sought-after both in academia and industry. We also encourage and support the students in startup activities.
  • Mode, duration
    2 years (full-time)
  • Language
  • Fees
    Full tuition coverage
  • Upcoming deadline
    Apply for the competitive selection by July 15, 2024
  • Benefits
    Monthly scholarship (up to 55.000 rub/month), relocation & accommodation, private medical insurance (in accordance with Skoltech policies)
our program enables
learning the mathematical and algorithmic foundations of AI
conducting research in the field of AI, including on generative and multimodal models and in other cutting-edge domains
creating efficient AI models to address practical problems
The 2-year program comprises compulsory and recommended elective courses on the most important topics, a wide range of elective courses (depending on the student's research and professional needs), components of entrepreneurship and innovation, research activity, and 8 weeks of industrial immersion.

research areas
A key component of your studies is independent research work at world–class laboratories. The following research areas are available for you:
  • AI & supercomputing
  • AI for materials design
  • AI-powered medical imaging
  • Computational intelligence
  • Computer vision
  • Mobile robotics
  • Mathematical foundations of AI
  • Natural language processing
  • Parallel algorithms for AI
  • Generative AI
  • Transformers in large language models
  • Trustworthy AI
Every program dedicates time for students' independent research as a core part of their curriculum. Skoltech hosts over 40 world-class laboratories. Students have full access to the facilities throughout their studies and can conduct research based on their interests.
future career
The graduates are sought-after both in academia and industry. They are also encouraged and provided with full support in startup activities.
Alumni also secure mid-level to senior positions in data science, machine learning, and artificial intelligence departments of innovative companies.
PhD positions at top universities are a common post-graduation destination.
Some graduates choose to establish their own startups.
Skoltech maintains close ties with leading companies in the industries and academia.
  • AIRI
  • BI.Zone
  • Gazprombank
  • Gazpromneft
  • IRA Labs
  • Kamaz
  • MRM Proteomics
  • Nanosemantics
  • Rostelecom
  • Russian Quantum Center
  • Sber AI Lab
  • Sber Robotics
  • Third Opinion
  • Vein CV
  • Yandex
    The trips have been initiated by students themselves
    • Aalborg University
    • Bell Laboratories
    • Columbia University
    • Dartmouth College
    • DLR German Aerospace Center
    • École Polytechnique Fédérale de Lausanne (EPFL)
    • ETH Zurich
    • Far East Federal University (FEFU)
    • Fondazione Bruno Kessler
    • Jilin University
    • King Abdullah University of Science and Technology
    • Massachusetts Institute of Technology (MIT)
    • New York University (NYU)
    • Ohio State University
    • Technical University of Munich
    • University of Edinburgh
    • University of Helsinki
    • University of Kaiserslautern
    • University of North Carolina
    • Wigner Research Center for Physics
      Applications for competitive selection can be submitted online. The bigger part of the selection process is conducted online, and only the final stage take place offline at the Skoltech campus.
      Prepare your portfolio (in English):
      • CV
      • Motivation letter
      • 2 letters of recommendation
      • Diploma or transcript from the university
      • Certificates and awards
      Submit your application
      Upload your materials into the SIA application system (

      Note: If you are applying for joint tracks, you should submit your application to both the partner university and Skoltech.
      • For more information about the Math of Machine Learning track, contact the Program Manager at HSE, Ilona Yakovleva
      • For more information about the joint track with MIPT, contact
      Online testing
      Every candidate must take an online subject test. You will be notified via email about the date and time of your test.

      online test sample
      math exam sample
      math exam sample (new)
      Final stage
      The final selection takes place in Moscow. You have to pass an English exam on site or present valid proof of English proficiency, and take an in-person interview and entrepreneurship challenge. Extra written examinations may be required for certain programs during this time (you will be notified in advance). In case you're not from Moscow, we can accommodate you in the Skoltech dorms for the selection weekend period.
      You will be enrolled in Skoltech based on the results of all the competitive selection procedures
      tips on math exam
      The goal of the Math Examination is to assess ADVANCED math abilities of MSc applicants in calculus, linear algebra, differential equations, and probability. The math exams typically include several problems on topics studied in standard undergraduate mathematical courses (see example). Below we list them along with examples of well-known textbooks:

      • M. Spivak. Calculus (1994)
      • S. Lang. A first course in calculus (1986)

      Linear algebra
      • S. Lang. Linear Algebra (1987)
      • Sh. Axler. Linear Algebra Done Right (2015)

      Ordinary differential equations
      • M. W. Hirsch, S. Smale. Differential Equations, Dynamical Systems, and Linear Algebra (1974)
      • V. I. Arnold. Ordinary differential equations (1973)

      • H. Tijms. Understanding Probability (2007)
      • Sh. Ross. A first course in probability (2019)
      entry requirements
      Knowledge, skills and education background sufficient for successful enrollment
      Bachelor's Degree or its equivalent in Mathematics, Computer Science, Information and Communication Technology, or related disciplines.
      Knowledge and skills
      Calculus, differential equations, linear algebra, probability theory and mathematical statistics, discrete mathematics (including graph theory and basic algorithms), programming.
      English language
      If your education has not been conducted in English, you will be expected to demonstrate evidence of an adequate level of English proficiency.
      enjoy courses and supervision by world-renowned scientists and engineers
      Instructors at HSE University
      The application period for Skoltech master's programs is now open. The third wave deadline is July 15. To apply, press the button below.
      Contact us
      phone: +7 (495) 280-1481_ext.3387

      address: 30с1 Bolshoi boulevard,
      Skolkovo, 121205, Russian Federation
      Room E-R3-2026
      We are more than happy to meet visitors Monday to Friday from 9:00 to 18:00. Please arrange a visit 48 hours in advance by contacting