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
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
Language:
Russian
ECTS credits:
3
Contact hours:
30
Master
2025/2026
Deep Learning and Neural Networks
Type:
Compulsory course (Product-Driven Approach and Data Analytics 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
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
Bachelor
2025/2026
Deep Learning for Graph Data Analysis
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 Graph Data Analysis
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
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
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
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
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
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
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
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
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
2025/2026
Deep Learning for Sound Processing
Type:
Mago-Lego
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
Where:
Faculty of Computer Science
When:
4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40