Olympiad & MSc Degree
at Skoltech & HSE
Review the solutions to the 2023 Math of Machine Learning Olympiad here.
Skoltech and HSE invite students in their last year of math- and IT-related bachelor's studies to compete in solving advanced challenges in machine learning as part of the Math of Machine Learning Olympiad 2024.

Applications are accepted by the end of the day on May 5, 2024.

Winners of the Olympiad will get a huge round of applause, prizes from the organizers and automatic enrollment into the joint Master's program of HSE and Skoltech "Math of Machine Learning". Winning the Olympiad is equivalent to passing the program's selection for admission.
This olympiad was formerly known as "Statistical Learning Theory", but in 2021 Skoltech and HSE decided to rename both the competition and the master's program. Now you will find it under "Math of Machine Learning".
May 5, 2024
Finalists announcement:
May 13, 2024
The final round:
May 25-26, 2024
The official language:
Format and location:
30с1 Bolshoi boulevard, Moscow, 121205, Russian Federation
Why participate
The main goal of the participation in the Olympiad is admission to the Joint Master's Program in Mathematics of Machine Learning offered by HSE and Skoltech. This program prepares specialists and researchers in the key theoretical unit of ML, one of the fastest-growing fields of information technology.

This year at the Data Fusion conference, the joint Skoltech-HSE University Master's Program Math of Machine Learning was selected as the Best Education Initiative of the Year.
This program knows no equals at the current Russian universities. It lies at the confluence of statistics, optimization, and machine learning. It unites science and the most advanced technologies in the field of information technology. We offer our graduates great opportunities in the academic domain as well as in business and innovation.
Dr. Vladimir Spokoiny
Head of the program, Professor at HSE Department of Mathematics and Economics, Humboldt University and Weierstrass Institute
How to participate
Graduates and senior bachelor's students pursuing Bachelor's, Specialist's or Master's degree in Applied Mathematics and Information Science or related fields can participate in the Olympiad.
Online selection round
Online selection round includes portfolio competition. It is required to upload the following documents in the online application system by 11:59 PM on May 5:
    • CV in English
    • Academic transcript or supplement to bachelor's/specialist's/master's diploma
    • Motivation letter in English (500-1000 words)
    • One recommendation letter from a supervisor or academic advisor (original in any language and translation into English done by an applicant)
    • Description of research projects or publications in peer-reviewed journals (if applicable)
    • Awards, certificates, diplomas for winning field-oriented competitions, Olympiads or participating in conferences
    Final round
    The final round will be held for two days (May 25-26) and include three selection components:
    • Written test in Mathematics
      (see the exam samples here)
    • Interview with professors from HSE and Skoltech
    • English proficiency test
    If you win
    Winning the Olympiad will be equated with obtaining the highest possible score for the entrance examinations for the Master's program in Mathematics of Machine Learning offered at HSE and Math of Machine Learning track of the Master's program in Data Science offered at Skoltech.

    The Program starts on September 1, 2024.
    MML Olympiad Experience
    Meet Aleksandr Rubashevskii, a Skoltech PhD student and graduate of a Skoltech-HSE joint Master's program Math of Machine Learning. After his Bachelor's studies, Aleksandr was in the search of a high-class machine learning experience. He applied for the Olympiad and has never looked back. Read his story
    Admission inquiries at Skoltech:

    Admission inquiries at HSE:

    You can visit us any day Monday through Friday from 9 AM till 6 PM.
    To visit us, please make an appointment at least 48 hours in advance by emailing us to Please make sure to receive an appointment confirmation.