Math of Machine Learning HSE University

Overview

From the start of this Math of Machine Learning programme from HSE University , students collaborate in thematic working groups and actively participate in research, learning from HSE and Skoltech scientists as well as leading global specialists in statistics, optimization and machine learning.

This programme stands at the crossroads of various disciplines of modern mathematics and computer science, including statistics, optimization, learning theory, information theory, complexity theory, as well as at the intersection of science and innovation in the field of modern information technology. Leading experts at HSE and Skoltech jointly provide instruction in this unique research-driven programme.

Students participate in one or more working groups (research seminars), where they determine focus areas for an initial survey report and then solve challenges at the intersection of cutting-edge research and technology in statistical learning theory. These seminars are built on teamwork, as the tasks undertaken are so complex that they can’t be solved by one person alone. 

Students learn how to effectively collaborate, bringing together their diverse collective skills, competencies, and experiences to determine successful solutions for complicated issues.

Career

The programme aims at preparing researchers in the most dynamic and high-demand fields related to mathematics and computer science. Graduates of the Master's programme may pursue a practical or research-oriented career, both of which are popular in one of the following areas:

• carrying out analysis in industry, consultancy, various types of associations and foundations, government agencies, banks, investment funds, etc.;
• expert activities related to methodological development, probabilistic modeling, statistical estimates, transport planning, optimization and forecasting tasks, as well as coming up with efficient methods, control technologies and data analysis in a variety of professional specializations;
• providing technical support for analytical and consulting groups engaged in machine learning, engineering design, financial analysis, modeling and optimization of transport networks;
• participating in management teams of analytical, research and administrative departments.

Accreditation

State Accreditation