Courses
Bachelor
2026/2027
Deep Learning
Type:
Compulsory course (Data Science and Business Analytics)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 1, 2 module
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
68
Master
2026/2027
Deep Learning
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
Language:
Russian
ECTS credits:
3
Contact hours:
44
Bachelor
2026/2027
Deep Learning
Type:
Compulsory course
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 1, 2 module
Open to:
students of one campus
Instructors:
Доронькин Максим Вячеславович
Language:
Russian
ECTS credits:
4
Contact hours:
80
Master
2026/2027
Deep Learning
Type:
Elective course (Smart Devices: Hardware Development)
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
Instructors:
Mark Blumenau
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2026/2027
Deep Learning
Type:
Compulsory course (Financial Technologies and Data Analysis)
Delivered by:
Joint Department with Sber
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
Master
2026/2027
Deep Learning
Type:
Compulsory course (Machine Learning in a Digital Product)
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:
Mark Blumenau
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2026/2027
Deep Learning
Type:
Compulsory 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
Contact hours:
80
2026/2027
Deep Learning
Type:
Mago-Lego
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
Online hours:
48
Open to:
students of all HSE University campuses
Instructors:
Fedor Ratnikov
Language:
Russian
ECTS credits:
6
Contact hours:
48
2026/2027
Deep Learning
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:
44
2026/2027
Deep Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
Open to:
students of one campus
Instructors:
Mark Blumenau
Language:
Russian
ECTS credits:
6
Contact hours:
80
2026/2027
Deep Learning
Type:
Mago-Lego
Delivered by:
Joint Department with Sber
Where:
Faculty of Computer Science
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
2026/2027
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
Instructors:
Aziz Temirkhanov
Language:
Russian
ECTS credits:
6
Contact hours:
80
2026/2027
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
Instructors:
Mark Blumenau
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2026/2027
Deep Learning
Type:
Elective course (Math of Machine Learning)
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
80
Bachelor
2026/2027
Deep Learning 1
Type:
Compulsory course (Computing and Data Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
56
Bachelor
2026/2027
Deep Learning 1
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 1, 2 module
Online hours:
20
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
56
Bachelor
2026/2027
Deep Learning 1
Type:
Elective 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
Language:
Russian
ECTS credits:
6
Contact hours:
80
Bachelor
2026/2027
Deep Learning 1
Type:
Elective course (Computational Social Sciences)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 1, 2 module
Online hours:
20
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
56
Bachelor
2026/2027
Deep Learning 1
Type:
Compulsory course (Economics and Data Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 1, 2 module
Online hours:
20
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
56