Courses
Master
2025/2026
Machine Learning in Bioinformatics
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
Instructors:
Maria Poptsova
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
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:
Sofia Dolgikh,
Anastasia Gergenreter,
Polina Pogorelova,
Bogdan Potanin,
Daria Zinchenko
Language:
Russian
ECTS credits:
3
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:
Sofia Dolgikh,
Anastasia Gergenreter,
Polina Pogorelova,
Bogdan Potanin,
Daria Zinchenko
Language:
Russian
ECTS credits:
3
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
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
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
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
Instructors:
Ivan Novikov
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
Instructors:
Ivan Novikov
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
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
Language:
Russian
ECTS credits:
6
2025/2026
Machine Learning Operations
Type:
Mago-Lego
Delivered by:
School of Applied Mathematics
When:
3, 4 module
Open to:
students of one campus
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