Modern Machine Learning is at the cutting edge of various disciplines of mathematics and computer science. Math of Machine Learning is one of the most dynamic areas of modern science, encompassing mathematical statistics, machine learning, optimization, and information and complexity theory. From the start of the program, students collaborate in thematic working groups and actively participate in research, learning from Skoltech and Higher School of Economics scientists as well as leading global specialists in statistics, optimization and machine learning.and
|Modes and duration
Full time: 2 years
No tuition fee for applicants who pass the selection process
Field of Science and Technology
|Language of instruction
The program is accredited by the Russian Government, certificate № 2568 from April 14, 2017. License № 2534 from February 7, 2017.
Skills and Knowledge: Calculus, Differential Equations, Linear algebra, Probability theory and mathematical statistics, Discrete mathematics (including graph theory and basic algorithms), Programming.
Education: Math or IT-related bachelor’s degree or its equivalent in Pure and Applied Mathematics/Computer Science/Statistics or other technical areas.
English language requirement: If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
|English language requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
A successful graduate of this track will:
Aim and objectives
The aim of the program is to prepare the technological leaders of the future. The objective of the MSc program is to bridge the gap between fundamental science and cutting-edge computational techniques.
MSc Program Structure
Career opportunities and paths
Graduates of the program may begin an international research career or work with a company (even during the period of study) as the program was developed to meet the high demand for data science specialists in the growing national and international high-tech market. Students gain the opportunity to obtain early access to the national and international research and innovation landscapes and can approach international employers with confidence. In addition, the program enhances students’ soft skills, enabling students to compete effectively in the job market.
Specialist positions such as data analyst, data scientist, consultant in various economy sectors:
Landing PhD positions and continuing research at leading Russian and international research bodies.
Starting a business on their own or through the Skolkovo innovation ecosystem with its extensive pool of experts, consultants and investors.
The program has a globally renowned faculty with international experience and a broad network of collaborations:
From the HSE side, lectures are delivered by prominent professors including Dr. Denis Belomestny, Dr. Dmitry Vetrov, and Dr. Quentin Paris.
Students are actively involved into research activity starting from Term 3.
Academic Mobility Partners:
The program is in a network form with: