Courses
Master
2025/2026
Decision Making Under Risk and Uncertainty
Type:
Compulsory course (Competitive Intelligence Analyst)
Delivered by:
Department of Security Research
Where:
Institute of Security Studies
When:
1 year, 3 module
Open to:
students of one campus
Instructors:
Nikolay Filinov
Language:
Russian
ECTS credits:
3
Contact hours:
32
Bachelor
2025/2026
Decision Systems
Type:
Compulsory course (Information Security)
When:
4 year, 1, 2 module
Open to:
students of one campus
Instructors:
Vladimir I. Volsky
Language:
Russian
ECTS credits:
6
Contact hours:
40
Master
2025/2026
Deep Learning
Type:
Compulsory course (Data Science)
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
2 year, 1, 2 module
Online hours:
48
Open to:
students of all HSE University campuses
Instructors:
Fedor Ratnikov
Language:
English
ECTS credits:
6
Contact hours:
48
2025/2026
Deep Learning
Type:
Mago-Lego
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
1, 2 module
Online hours:
48
Open to:
students of all HSE University campuses
Instructors:
Fedor Ratnikov
Language:
English
ECTS credits:
6
Contact hours:
48
2025/2026
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
Instructors:
Mark Blumenau
Language:
Russian
ECTS credits:
3
Contact hours:
22
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
Instructors:
Aziz Temirkhanov
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
Master
2025/2026
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
Instructors:
Mark Blumenau
Language:
Russian
ECTS credits:
3
Contact hours:
22
Master
2025/2026
Deep Learning
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
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
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
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
Language:
English
ECTS credits:
4
Contact hours:
56
Master
2025/2026
Deep Learning
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
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
Language:
Russian
ECTS credits:
4