Courses
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
Master
2025/2026
Machine Learning in Business
Type:
Compulsory course (Research and Entrepreneurship in Artificial Intelligence)
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2025/2026
Machine Learning in Business
Type:
Compulsory course (Digital Communications and Product Analytics)
Delivered by:
School of Communication
When:
1 year, 3, 4 module
Online hours:
20
Open to:
students of one campus
Instructors:
Anastasiya Semenova
Language:
Russian
ECTS credits:
6
Contact hours:
60
2025/2026
Machine Learning in Business
Type:
Mago-Lego
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
2025/2026
Machine Learning in Business
Type:
Mago-Lego
Delivered by:
School of Communication
When:
3, 4 module
Online hours:
20
Open to:
students of one campus
Instructors:
Anastasiya Semenova
Language:
Russian
ECTS credits:
6
Contact hours:
60
2025/2026
Machine Learning in Cybersecurity
Type:
Mago-Lego
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
When:
3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
Bachelor
2025/2026
Machine Learning in Economics
Type:
Compulsory course (Economics)
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
3 year, 4 module
Open to:
students of one campus
Instructors:
Атласов Александр Александрович,
Столяров Марк Эдуардович,
Атласов Александр Александрович,
Sofia Dolgikh,
Anastasia Gergenreter,
Polina Pogorelova,
Bogdan Potanin,
Daria Zinchenko
Language:
Russian
ECTS credits:
3
Contact hours:
40
Bachelor
2025/2026
Machine Learning in Economics
Type:
Compulsory course (Economics and Statistics)
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
3 year, 4 module
Open to:
students of one campus
Instructors:
Атласов Александр Александрович,
Столяров Марк Эдуардович,
Атласов Александр Александрович,
Sofia Dolgikh,
Anastasia Gergenreter,
Polina Pogorelova,
Bogdan Potanin,
Daria Zinchenko
Language:
Russian
ECTS credits:
3
Contact hours:
40
Bachelor
2025/2026
Machine Learning in Economics
Type:
Compulsory course (Economic Analysis)
Delivered by:
Undergraduate Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
3 year, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
44
2025/2026
Machine Learning in Finance
Type:
Optional course (faculty)
Delivered by:
Undergraduate Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
2 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
32
Master
2025/2026
Machine Learning in Geospatial Studies
Category 'Best Course for Career Development'
Type:
Compulsory course (Spatial Data and Applied Geoanalytics)
Delivered by:
Faculty of Geography and Geoinformation Technology
When:
1 year, 3, 4 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2025/2026
Machine Learning in Geospatial Studies
Category 'Best Course for Career Development'
Type:
Compulsory course (Spatial Data and Applied Geoanalytics)
Delivered by:
Faculty of Geography and Geoinformation Technology
When:
1 year, 3, 4 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
56
2025/2026
Machine Learning in Geospatial Studies
Category 'Best Course for Career Development'
Type:
Mago-Lego
Delivered by:
Faculty of Geography and Geoinformation Technology
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
56
Bachelor
2025/2026
Machine Learning in Materials Science
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Contact hours:
56
Bachelor
2025/2026
Machine Learning in Materials Science
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
4 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Contact hours:
56
Bachelor
2025/2026
Machine learning Methods for analyzing Neural Data
Type:
Compulsory course (Cognitive Neurobiology)
When:
4 year, 1 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Master
2025/2026
Machine Learning Operations
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 (Applied Artificial Intelligence Models)
Delivered by:
School of Applied Mathematics
When:
1 year, 3, 4 module
Open to:
students of one campus
Instructors:
Ефимов Владислав Игоревич,
Гимранова Екатерина Маратовна,
Бекетов Роман Александрович
Language:
Russian
ECTS credits:
6
Contact hours:
60
2025/2026
Machine Learning Operations
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:
School of Applied Mathematics
When:
3, 4 module
Open to:
students of one campus
Instructors:
Ефимов Владислав Игоревич,
Гимранова Екатерина Маратовна,
Бекетов Роман Александрович
Language:
Russian
ECTS credits:
6
Contact hours:
60
Bachelor
2025/2026
Machine Learning Systems Design
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
4 year, 3 module
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
24
Master
2025/2026
Machine Learning Systems Design
Type:
Elective course (Modern Computer Science)
Delivered by:
Joint Department with Yandex
Where:
Faculty of Computer Science
When:
1 year, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3