Math of Machine Learning Postgraduate Programme By HSE University |TopUniversities
Subject Ranking

# =184QS Subject Rankings

Tuitionfee

5,303 USDTuition Fee/year

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Computer Science and Information Systems

Degree

Other

Study Level

Masters

Study Mode

On Campus

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.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

Other

Study Level

Masters

Study Mode

On Campus

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.

Admission Requirements

6+
80+

Sep

International
5,303 USD

Scholarships

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