Courses
Master
2025/2026
Network Science
Type:
Elective course (Data Science)
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
78
2025/2026
Network Science
Type:
Mago-Lego
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
3, 4 module
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
78
Master
2025/2026
Networks: Theory and Applications
Type:
Elective course (Economics and Economic Policy)
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Open to:
students of one campus
Instructors:
Mariya Teteryatnikova
Language:
English
ECTS credits:
3
Master
2025/2026
Networks: Theory and Applications
Type:
Elective course (Economics and Economic Policy)
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Open to:
students of one campus
Instructors:
Mariya Teteryatnikova
Language:
English
ECTS credits:
3
Master
2025/2026
Networks: Theory and Applications
Type:
Elective course (Economics and Economic Policy)
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Open to:
students of one campus
Instructors:
Mariya Teteryatnikova
Language:
English
ECTS credits:
3
Master
2025/2026
Networks: Theory and Applications
Type:
Elective course (Economics and Economic Policy)
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Open to:
students of one campus
Instructors:
Mariya Teteryatnikova
Language:
English
ECTS credits:
3
2025/2026
Networks: Theory and Applications
Type:
Mago-Lego
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
2 module
Open to:
students of one campus
Instructors:
Mariya Teteryatnikova
Language:
English
ECTS credits:
3
Contact hours:
28
2025/2026
Network Technologies in Machine-to-Machine (M2M) Communications
Type:
Mago-Lego
Delivered by:
School of Electronic Engineering
When:
2, 3 module
Open to:
students of one campus
Instructors:
Svyatoslav Yakymenko
Language:
Russian
ECTS credits:
6
Contact hours:
60
Master
2025/2026
Network Technologies in Machine-to-Machine (M2M) Communications
Type:
Compulsory course (Internet of Things and Cyber-physical Systems)
Delivered by:
School of Electronic Engineering
When:
1 year, 2, 3 module
Open to:
students of one campus
Instructors:
Svyatoslav Yakymenko
Language:
Russian
ECTS credits:
6
Contact hours:
60
Bachelor
2025/2026
Network Video Technologies
Type:
Compulsory course (Information Science and Computation Technology)
Delivered by:
School of Computer Engineering
When:
3 year, 3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Bachelor
2025/2026
Neural Networks and Deep Learning
Type:
Elective course (Software Engineering)
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
Where:
Faculty of Computer Science
When:
3 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Contact hours:
60
Master
2025/2026
Neural Networks and Deep Learning
Type:
Compulsory course (Business Analytics and Big Data Systems)
Delivered by:
Department of Business Informatics
When:
2 year, 1, 2 module
Open to:
students of one campus
Instructors:
Seungmin Jin
Language:
English
ECTS credits:
6
Contact hours:
48
2025/2026
Neural Networks and Deep Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2, 3 module
Open to:
students of one campus
Instructors:
Mark Blumenau
Language:
English
ECTS credits:
6
Contact hours:
48
2025/2026
Neural Networks and Deep Learning
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
When:
1, 2 module
Open to:
students of one campus
Instructors:
Seungmin Jin
Language:
English
ECTS credits:
6
Contact hours:
48
2025/2026
Neural Networks and Deep Learning
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
When:
3, 4 module
Open to:
students of one campus
Instructors:
Seungmin Jin
Language:
English
ECTS credits:
6
Contact hours:
48
2025/2026
Neural Networks and Deep Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2, 3 module
Open to:
students of one campus
Instructors:
Mark Blumenau
Language:
Russian
ECTS credits:
6
Contact hours:
48
Master
2025/2026
Neural Networks and Deep Learning
Type:
Compulsory course (Master of Data Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 2, 3 module
Open to:
students of one campus
Instructors:
Mark Blumenau
Language:
Russian
ECTS credits:
6
Contact hours:
48
Master
2025/2026
Neural Networks and Deep Learning
Type:
Compulsory course (Master of Data Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 2, 3 module
Open to:
students of one campus
Instructors:
Mark Blumenau
Language:
English
ECTS credits:
6
Contact hours:
48
Master
2025/2026
Neural Networks and Deep Learning
Type:
Elective course (Business Analytics and Big Data Systems)
Delivered by:
Department of Business Informatics
When:
1 year, 3, 4 module
Open to:
students of one campus
Instructors:
Seungmin Jin
Language:
English
ECTS credits:
6
Contact hours:
48
2025/2026
Neural Networks and Machine Learning for Artificial Intelligence Systems
Type:
Mago-Lego
Delivered by:
School of Electronic Engineering
When:
1, 2 module
Open to:
students of all HSE University campuses
Instructors:
Sergey Nefedov
Language:
Russian
ECTS credits:
6
Contact hours:
60