Courses
Master
2026/2027
Machine Learning 2
Type:
Elective course (Modern Computer Science)
Delivered by:
Joint Department with Yandex
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2026/2027
Machine Learning 2
Type:
Compulsory course (Research and Entrepreneurship in Artificial Intelligence)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 2, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
68
2026/2027
Machine Learning 2
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
Open to:
students of one campus
Instructors:
Mark Blumenau
Language:
Russian
ECTS credits:
6
Contact hours:
68
2026/2027
Machine Learning 2
Type:
Mago-Lego
Delivered by:
Joint Department with Yandex
Where:
Faculty of Computer Science
Open to:
students of one campus
Instructors:
Петров Андрей Иванович
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2026/2027
Machine Learning (Advanced level)
Type:
Elective course (Economics and Economic Policy)
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
3
Contact hours:
36
Master
2026/2027
Machine Learning (Advanced level)
Type:
Elective course (Economics and Economic Policy)
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
3
Contact hours:
36
Master
2026/2027
Machine Learning (Advanced level)
Type:
Elective course (Economics and Economic Policy)
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
3
Contact hours:
36
Master
2026/2027
Machine Learning (Advanced level)
Type:
Elective course (Economics and Economic Policy)
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
3
Contact hours:
36
Bachelor
2026/2027
Machine Learning (Advanced level)
Type:
Compulsory course
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
82
Master
2026/2027
Machine Learning (Advanced level)
Type:
Elective course (Statistical Analysis in Economics)
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
3
Contact hours:
36
2026/2027
Machine Learning (Advanced level)
Type:
Mago-Lego
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
Open to:
students of all HSE University campuses
Instructors:
Pasha Andreyanov
Language:
Russian
ECTS credits:
3
Contact hours:
36
Master
2026/2027
Machine Learning and AI in the World Economy
Type:
Elective course (World Economy)
Delivered by:
School of World Economy
When:
2 year, 1, 2 module
Open to:
students of one campus
Instructors:
Alexey Neznanov
Language:
English
ECTS credits:
6
Contact hours:
40
2026/2027
Machine Learning and AI in the World Economy
Type:
Mago-Lego
Delivered by:
School of World Economy
Open to:
students of one campus
Instructors:
Alexey Neznanov
Language:
Russian
ECTS credits:
6
Contact hours:
40
Master
2026/2027
Machine learning and artificial intelligence
Type:
Compulsory course (Internet of Things and Cyber-physical Systems)
Delivered by:
School of Electronic Engineering
When:
2 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
60
2026/2027
Machine learning and artificial intelligence
Type:
Mago-Lego
Delivered by:
School of Electronic Engineering
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
60
Master
2026/2027
Machine Learning and Artificial Intelligence Technologies
Type:
Compulsory course (Artificial Intelligence Technologies in Telecommunications)
Delivered by:
School of Electronic Engineering
When:
1 year, 3, 4 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
52
2026/2027
Machine Learning and Artificial Intelligence Technologies
Type:
Mago-Lego
Delivered by:
School of Electronic Engineering
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
52
Master
2026/2027
Machine Learning and Big Data Mining
Type:
Elective course (Digital Product Management)
Delivered by:
Department of Business Informatics
When:
2 year, 1 module
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
24
2026/2027
Machine Learning and Big Data Mining
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
When:
1 module
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
24
Master
2026/2027
Machine Learning and Data Mining
Type:
Elective course (Data Science)
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
2 year, 1, 2 module
Open to:
students of all HSE University campuses
Instructors:
Majid Sohrabi
Language:
English
ECTS credits:
6
Contact hours:
54