Courses
Master
2025/2026
Fundamentals of Machine Learning with Applications in Finance
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Elective course (Financial Markets and Institutions)
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
1 year, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2025/2026
Fundamentals of Machine Learning with Applications in Finance
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Elective course (Financial Markets and Institutions)
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
1 year, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2025/2026
Fundamentals of Machine Learning with Applications in Finance
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Elective course (Financial Markets and Institutions)
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
1 year, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
Bachelor
2025/2026
Fundamentals of Mathematical Analysis and Information and Communication Technologies
Type:
Compulsory course
Delivered by:
Faculty of World Economy and International Affairs
When:
1 year, 1 semester
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
72
2025/2026
Fundamentals of Mathematical Modeling of Human Behavior
Category 'Best Course for New Knowledge and Skills'
Type:
Minor
Delivered by:
School of Applied Mathematics
Open to:
students of all HSE University campuses
Instructors:
Ihor Lubashevsky
Language:
Russian
ECTS credits:
5
Contact hours:
32
Bachelor
2025/2026
Fundamentals of Matrix Computations
Category 'Best Course for New Knowledge and Skills'
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 3, 4 module
Open to:
students of all HSE University campuses
Instructors:
Sergej Kudrjashov,
Alexander Molozhavenko,
Maxim Rakhuba,
Nikolay Yudin,
Vyacheslav Yusupov
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2025/2026
Fundamentals of Matrix Computations
Category 'Best Course for New Knowledge and Skills'
Type:
Elective course (Modern Computer Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Open to:
students of all HSE University campuses
Instructors:
Maxim Rakhuba
Language:
Russian
ECTS credits:
6
Contact hours:
80
2025/2026
Fundamentals of Matrix Computations
Category 'Best Course for New Knowledge and Skills'
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3, 4 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
2025/2026
Fundamentals of Matrix Computations
Category 'Best Course for New Knowledge and Skills'
Type:
Optional course (faculty)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3, 4 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
Bachelor
2025/2026
Fundamentals of Modern Optics
Type:
Compulsory course (Physics)
Delivered by:
Joint Department of Quantum Optics and Nanophotonics with the Institute for Spectroscopy (RAS)
Where:
Faculty of Physics
When:
4 year, 1-3 module
Open to:
students of one campus
Instructors:
Anatoly Masalov
Language:
Russian
ECTS credits:
7
Bachelor
2025/2026
Fundamentals of Modern Physics: Quantum Microphysics
Type:
Compulsory course (Physics)
Delivered by:
Faculty of Physics
Where:
Faculty of Physics
When:
3 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
64
Master
2025/2026
Fundamentals of Molecular Phytopathology and Plant Protection
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Compulsory course (Bioinformatics in Agrobiotechnology)
Delivered by:
Institute for Agrarian Studies
Where:
Research Departments
When:
1 year, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
2025/2026
Fundamentals of Molecular Phytopathology and Plant Protection
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Mago-Lego
Delivered by:
Institute for Agrarian Studies
Where:
Research Departments
When:
3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2025/2026
Fundamentals of Nanophotonics
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Compulsory course (Physics)
Delivered by:
Joint Department of Quantum Optics and Nanophotonics with the Institute for Spectroscopy (RAS)
Where:
Faculty of Physics
When:
1 year, 1-4 module
Open to:
students of one campus
Instructors:
Pavel N. Melentiev
Language:
Russian
ECTS credits:
12
Contact hours:
80
2025/2026
Fundamentals of Nanophotonics
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Mago-Lego
Delivered by:
Joint Department of Quantum Optics and Nanophotonics with the Institute for Spectroscopy (RAS)
Where:
Faculty of Physics
When:
1-4 module
Open to:
students of one campus
Instructors:
Pavel N. Melentiev
Language:
Russian
ECTS credits:
12
Contact hours:
80
Bachelor
2025/2026
Fundamentals of Neural Networks on Python
Category 'Best Course for New Knowledge and Skills'
Type:
Elective course (Media Communications)
Delivered by:
Institute of Media
When:
3 year, 3 module
Open to:
students of all HSE University campuses
Instructors:
Anastasia Dvoynikova
Language:
Russian
ECTS credits:
3
Contact hours:
44
Bachelor
2025/2026
Fundamentals of neuroimaging and Brain-computer Interface using MRI
Type:
Elective course (Cognitive Neurobiology)
When:
4 year, 1, 2 module
Open to:
students of one campus
Language:
English
ECTS credits:
6
Master
2025/2026
Fundamentals of Non-Financial Reporting and Sustainable Finance
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Compulsory course (Low Carbon Development)
Delivered by:
Faculty of Geography and Geoinformation Technology
When:
2 year, 3 module
Open to:
students of all HSE University campuses
Instructors:
Vladimir Gorchakov
Language:
Russian
ECTS credits:
3
Master
2025/2026
Fundamentals of Non-Financial Reporting and Sustainable Finance
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Compulsory course (Low Carbon Development)
Delivered by:
Faculty of Geography and Geoinformation Technology
When:
2 year, 3 module
Open to:
students of all HSE University campuses
Instructors:
Vladimir Gorchakov
Language:
Russian
ECTS credits:
3
2025/2026
Fundamentals of Non-Financial Reporting and Sustainable Finance
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Mago-Lego
Delivered by:
Faculty of Geography and Geoinformation Technology
When:
3 module
Open to:
students of all HSE University campuses
Instructors:
Vladimir Gorchakov
Language:
Russian
ECTS credits:
3
Contact hours:
20