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
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
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
Instructors:
Sergey Slastnikov
Language:
Russian
ECTS credits:
3
Contact hours:
28
2025/2026
Machine Learning for a Model Construction
Type:
Mago-Lego
Delivered by:
School of Applied Mathematics
When:
4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
44
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
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
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
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
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:
28
2025/2026
Machine Learning I
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
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
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
2025/2026
Machine Learning in Bioinformatics
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
Instructors:
Maria Poptsova
Language:
English
ECTS credits:
6
Contact hours:
56