Courses
Bachelor
2026/2027
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
Bachelor
2026/2027
Deep Learning for Natural Language Processing
Type:
Elective course (Economics 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 all HSE University campuses
Instructors:
Alexander Shabalin
Language:
Russian
ECTS credits:
5
Contact hours:
56
Master
2026/2027
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
Contact hours:
80
2026/2027
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:
Андреева Дарья Александровна
Language:
Russian
ECTS credits:
3
Contact hours:
28
2026/2027
Deep Learning for Natural Language Processing
Type:
Mago-Lego
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2026/2027
Deep Learning for Natural Language Processing
Type:
Elective course (Math of Machine Learning)
Where:
Faculty of Computer Science
When:
1 year, 4 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
40
2026/2027
Deep Learning for Natural Language Processing
Language:
Russian
ECTS credits:
3
Contact hours:
40
Bachelor
2026/2027
Deep Learning for Search
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
When:
3 year, 1, 2 module
Open to:
students of one campus
Instructors:
Насыбуллин Альберт Алмазович
Language:
Russian
ECTS credits:
5
Contact hours:
56
Bachelor
2026/2027
Deep Learning for Search
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
When:
4 year, 1, 2 module
Open to:
students of one campus
Instructors:
Насыбуллин Альберт Алмазович
Language:
Russian
ECTS credits:
5
Contact hours:
56
Master
2026/2027
Deep Learning for Sound Processing
Type:
Elective course (Artificial Intelligence)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
Bachelor
2026/2027
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
2026/2027
Deep Learning for Sound Processing
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
Open to:
students of one campus
Instructors:
Карагодин Никита Сергеевич
Language:
Russian
ECTS credits:
3
Contact hours:
28
2026/2027
Deep Learning for Text Analysis and Generation
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
Open to:
students of one campus
Instructors:
Лебедева Анна Юрьевна
Language:
Russian
ECTS credits:
6
Contact hours:
28
Bachelor
2026/2027
Deep Learning Methods in Natural Sciences
Type:
Elective course (Applied Mathematics and Information Science)
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:
6
Contact hours:
80
Master
2026/2027
Deep Vision and Graphics
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
Contact hours:
56
Master
2026/2027
Deep Vision and Graphics
Type:
Elective course (Modern Computer Science)
Delivered by:
Joint Department with Yandex
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
2026/2027
Deep Vision and Graphics
Type:
Mago-Lego
Delivered by:
Joint Department with Yandex
Where:
Faculty of Computer Science
When:
1, 2 module
Open to:
students of one campus
Instructors:
Юрченко Виктор Сергеевич
Language:
Russian
ECTS credits:
6
Contact hours:
56
2026/2027
Delivery Process in IT: Project Management Fundamentals
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
64
Master
2026/2027
Demographic Analysis and Forecasting
Type:
Elective course (Statistical Analysis in Economics)
Delivered by:
Department of Statistics and Data Analysis
Where:
Faculty of Economic Sciences
When:
2 year, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
44
Master
2026/2027
Demographic Analysis and Forecasting
Type:
Elective course (Statistical Analysis in Economics)
Delivered by:
Department of Statistics and Data Analysis
Where:
Faculty of Economic Sciences
When:
1 year, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
44