Courses
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
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
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
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
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
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
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
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
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
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
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
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type:
Mago-Lego
Delivered by:
School of Electronic Engineering
When:
2, 3 module
Open to:
students of one campus
Instructors:
Sviatoslav Iakimenko
Language:
Russian
ECTS credits:
6
Contact hours:
60
Master
2025/2026
Network Technologies in Machine-to-Machine (M2M) Communications
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
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:
Sviatoslav Iakimenko
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
Contact hours:
82
Bachelor
2025/2026
Neural Networks and Deep Learning
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:
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
Category 'Best Course for New Knowledge and Skills'
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
Category 'Best Course for New Knowledge and Skills'
Type:
Compulsory course (Applied Neural Network Technologies)
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 (Applied Neural Network Technologies)
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
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
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
Master
2025/2026
Neural Networks and Machine Learning for Artificial Intelligence Systems
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type:
Compulsory course (Artificial Intelligence Software and Hardware)
Delivered by:
School of Electronic Engineering
When:
1 year, 1, 2 module
Open to:
students of all HSE University campuses
Instructors:
Sergey Nefedov
Language:
Russian
ECTS credits:
6