Courses
Master
2025/2026
Machine Learning: Basic Concepts
Type:
Elective course (Film Production)
Delivered by:
Film Institute
When:
2 year, 2, 3 module
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
6
Bachelor
2025/2026
Machine Learning: Basic Concepts
Type:
Compulsory course
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
3 year, 1 semester
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Contact hours:
52
Master
2025/2026
Machine Learning for Agrobiotech
Category 'Best Course for Career Development'
Type:
Compulsory course (Bioinformatics in Agrobiotechnology)
Delivered by:
Institute for Agrarian Studies
Where:
Research Departments
When:
1 year, 4 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
3
Contact hours:
28
2025/2026
Machine Learning for Business Analytics
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
When:
2 module
Open to:
students of one campus
Instructors:
Dominik Johannes Knoll
Language:
English
ECTS credits:
3
Contact hours:
24
Master
2025/2026
Machine Learning for Business Analytics
Type:
Compulsory course (Business Analytics and Big Data Systems)
Delivered by:
Department of Business Informatics
When:
1 year, 2 module
Open to:
students of one campus
Instructors:
Dominik Johannes Knoll
Language:
English
ECTS credits:
3
Contact hours:
24
Master
2025/2026
Machine Learning for Economics Research
Type:
Elective course (Economics and Economic Policy)
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Open to:
students of one campus
Instructors:
Bogdan Potanin
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2025/2026
Machine Learning for Economics Research
Type:
Elective course (Economics and Economic Policy)
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Open to:
students of one campus
Instructors:
Bogdan Potanin
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2025/2026
Machine Learning for Economics Research
Type:
Elective course (Economics and Economic Policy)
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Open to:
students of one campus
Instructors:
Bogdan Potanin
Language:
Russian
ECTS credits:
3
Contact hours:
28
2025/2026
Machine Learning for Economics Research
Type:
Mago-Lego
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
2 module
Open to:
students of one campus
Instructors:
Bogdan Potanin
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2025/2026
Machine Learning for Economists
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 (Economic Analysis)
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
36
2025/2026
Machine Learning for Economists
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:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
36
Master
2025/2026
Machine Learning for Solving Analytics Problems
Type:
Compulsory course (Big Data Analytics)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 3 module
Open to:
students of one campus
Instructors:
Evgeny Patochenko
Language:
Russian
ECTS credits:
3
Contact hours:
40
2025/2026
Machine Learning for Solving Analytics Problems
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 module
Open to:
students of one campus
Instructors:
Evgeny Patochenko
Language:
Russian
ECTS credits:
3
Contact hours:
40
2025/2026
Machine Learning for the Stock Market
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:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
2025/2026
Machine Learning I
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:
Department of Educational Programmes
Where:
Institute of Education
When:
2 module
Open to:
students of one campus
Instructors:
Andrey Zakharov
Language:
English
ECTS credits:
3
Contact hours:
30
Master
2025/2026
Machine Learning I
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 (Science of Learning and Assessment)
Delivered by:
Department of Educational Programmes
Where:
Institute of Education
When:
2 year, 2 module
Open to:
students of one campus
Instructors:
Andrey Zakharov
Language:
English
ECTS credits:
3
Contact hours:
30
Bachelor
2025/2026
Machine learning in applied problems
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
2025/2026
Machine Learning in Bioinformatics
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:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1, 2 module
Online hours:
14
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
56
Master
2025/2026
Machine Learning in Bioinformatics
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 (Data Analysis in Biology and Medicine)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Online hours:
14
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
56
2025/2026
Machine Learning in Biomedicine
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40