Courses
Bachelor
2025/2026
Deep Learning 2
Type:
Compulsory 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:
Беляков Степан Иванович,
Ершов Иван Петрович,
Беляков Степан Иванович,
Mishan Aliev,
Eva Neudachina,
Fedor Velikonivtsev
Language:
Russian
ECTS credits:
5
Contact hours:
56
Bachelor
2025/2026
Deep Learning and Large Language Models Technologies for Text Processing Tasks
Type:
Elective course (Business Informatics)
Delivered by:
Department of Operations Management and Logistics
When:
3 year, 4 module
Open to:
students of one campus
Instructors:
Sergey Makrushin
Language:
Russian
ECTS credits:
3
Contact hours:
30
Master
2025/2026
Deep Learning and Neural Networks
Category 'Best Course for New Knowledge and Skills'
Type:
Compulsory course (Artificial Intelligence and Product-Based Approach in HR Management)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 1, 2 module
Open to:
students of one campus
Instructors:
Borevskiy Andrey
Language:
Russian
ECTS credits:
6
Contact hours:
56
2025/2026
Deep Learning and Neural Networks
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:
1, 2 module
Open to:
students of one campus
Instructors:
Borevskiy Andrey
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2025/2026
Deep Learning CU
Type:
Elective course
Where:
Faculty of Computer Science
When:
2 year, 3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
30
Bachelor
2025/2026
Deep Learning for Graph Data Analysis
Type:
Elective course (Computing and Data 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
2025/2026
Deep Learning for Graph Data Analysis
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type:
Mago-Lego
Delivered by:
Joint Department with Yandex
Where:
Faculty of Computer Science
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2025/2026
Deep Learning for Graph Data Analysis
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type:
Elective course (Modern Computer Science)
Delivered by:
Joint Department with Yandex
Where:
Faculty of Computer Science
When:
2 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Bachelor
2025/2026
Deep Learning for Graph Data Analysis
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:
Fedor Velikonivtsev
Language:
Russian
ECTS credits:
5
Contact hours:
56
2025/2026
Deep Learning for Graph Data Analysis
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
Instructors:
Eldar Valitov
Language:
Russian
ECTS credits:
3
Contact hours:
48
Bachelor
2025/2026
Deep Learning for Natural Language Processing
Type:
Compulsory course (Computing and Data 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
2025/2026
Deep Learning for Natural Language Processing
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 module
Open to:
students of one campus
Instructors:
Хажгериев Мурат Анзорович
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2025/2026
Deep Learning for Natural Language Processing
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type:
Elective course (Data Analysis in Development)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 2 module
Open to:
students of one campus
Instructors:
Хажгериев Мурат Анзорович
Language:
Russian
ECTS credits:
3
Bachelor
2025/2026
Deep Learning for Natural Language Processing
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
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 all HSE University campuses
Language:
Russian
ECTS credits:
5
Contact hours:
56
Master
2025/2026
Deep Learning for Natural Language Processing
Type:
Compulsory course (Research and Entrepreneurship in Artificial Intelligence)
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Open to:
students of one campus
Instructors:
Малых Валентин Андреевич
Language:
Russian
ECTS credits:
6
2025/2026
Deep Learning for Natural Language Processing
Type:
Mago-Lego
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
When:
3, 4 module
Open to:
students of one campus
Instructors:
Малых Валентин Андреевич
Language:
Russian
ECTS credits:
6
Contact hours:
80
2025/2026
Deep Learning for Natural Language Processing
Language:
English
ECTS credits:
3
Contact hours:
40
2025/2026
Deep Learning for Sound Processing
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
Language:
Russian
ECTS credits:
6
Contact hours:
28
Bachelor
2025/2026
Deep Learning for Sound Processing
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 (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 all HSE University campuses
Language:
Russian
ECTS credits:
5
Contact hours:
56