Courses
2025/2026
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:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3, 4 module
Open to:
students of one campus
Instructors:
Aziz Temirkhanov
Language:
Russian
ECTS credits:
6
Contact hours:
80
2025/2026
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:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2025/2026
Deep Learning
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type:
Compulsory course (Artificial Intelligence)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 3 module
Open to:
students of one campus
Instructors:
Mark Blumenau
Language:
Russian
ECTS credits:
3
Contact hours:
22
Master
2025/2026
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:
Compulsory course (Data Analysis in Development)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Master
2025/2026
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 (Data Analysis in Biology and Medicine)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Open to:
students of one campus
Instructors:
Aziz Temirkhanov
Language:
Russian
ECTS credits:
6
Master
2025/2026
Deep Learning
Type:
Elective course (Modern Computer Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
2025/2026
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:
Mago-Lego
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
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
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
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
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
Language:
Russian
ECTS credits:
6
Contact hours:
56
Bachelor
2025/2026
Deep Learning
Category 'Best Course for Career Development'
Type:
Compulsory course (Data Science and Business Analytics)
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
Instructors:
Овчинников Всеволод Александрович,
Saraa Ali,
Alexey Boldyrev,
Kirill Bykov,
Maksim Karpov,
Aleksandr Khizhik
Language:
English
ECTS credits:
4
Contact hours:
56
Master
2025/2026
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:
Compulsory course (Financial Technologies and Data Analysis)
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
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
Bachelor
2025/2026
Deep Learning
Type:
Compulsory course (Economics and Data Science)
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
7
Contact hours:
80
Bachelor
2025/2026
Deep Learning
Type:
Compulsory course
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
3 year, 2 semester
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
60
2025/2026
Deep Learning
Type:
Optional course (faculty)
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
Where:
Faculty of Computer Science
When:
3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
Bachelor
2025/2026
Deep Learning 1
Type:
Elective course (Computing and Data Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 2, 3 module
Open to:
students of one campus
Instructors:
Kirill Korolev
Language:
Russian
ECTS credits:
4
Bachelor
2025/2026
Deep Learning 1
Category 'Best Course for Career Development'
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 2, 3 module
Online hours:
20
Open to:
students of one campus
Instructors:
Дробышевский Илья Александрович,
Панфилов Борис Сергеевич,
Дробышевский Илья Александрович,
Foma Shipilov
Language:
English
ECTS credits:
4
Contact hours:
48
2025/2026
Deep Learning 1
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:
Optional course (faculty)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2, 3 module
Online hours:
20
Open to:
students of one campus
Instructors:
Foma Shipilov
Language:
English
ECTS credits:
3
Contact hours:
48
Bachelor
2025/2026
Deep Learning 1
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:
Compulsory course (Applied Mathematics and Information Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 3, 4 module
Open to:
students of one campus
Instructors:
Гринберг Петр Маркович
Language:
Russian
ECTS credits:
6
Contact hours:
80
Bachelor
2025/2026
Deep Learning 2
Category 'Best Course for New Knowledge and Skills'
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
Contact hours:
56