Courses
Bachelor
2026/2027
Data Analysis
Type:
Compulsory course (Chemistry)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 1, 2 module
Online hours:
50
Open to:
students of one campus
Instructors:
Michael Nikityuk
Language:
Russian
ECTS credits:
3
Contact hours:
28
Bachelor
2026/2027
Data Analysis
Type:
Compulsory course (Design)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 2, 3 module
Online hours:
50
Open to:
students of all HSE University campuses
Instructors:
Kristina Aleksandrovna Demchuk
Language:
Russian
ECTS credits:
3
Contact hours:
20
Bachelor
2026/2027
Data Analysis
Type:
Compulsory course (Economics and Statistics)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 1 module
Online hours:
50
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
16
Bachelor
2026/2027
Data Analysis
Type:
Elective course (Foreign Languages and Intercultural Communication)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 2, 3 module
Online hours:
50
Open to:
students of one campus
Instructors:
Ksenia Anisimova
Language:
Russian
ECTS credits:
3
Contact hours:
24
Bachelor
2026/2027
Data Analysis
Type:
Elective course (Foreign Languages and Intercultural Communication)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 2, 3 module
Online hours:
50
Open to:
students of one campus
Instructors:
Чернова Стефания Вячеславовна
Language:
English
ECTS credits:
3
Contact hours:
24
2026/2027
Data Analysis
Type:
Mago-Lego
Delivered by:
School of Linguistics
Where:
Faculty of Humanities
When:
3, 4 module
Open to:
students of all HSE University campuses
Instructors:
Ksenia Anisimova
Language:
Russian
ECTS credits:
6
Contact hours:
64
Bachelor
2026/2027
Data Analysis
Type:
Compulsory course (Business Administration)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 1 module
Online hours:
50
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
3
Contact hours:
30
Master
2026/2027
Data Analysis and Al Methods
Type:
Compulsory course (Computer Systems and Networks)
Delivered by:
School of Computer Engineering
When:
1 year, 1 module
Open to:
students of all HSE University campuses
Instructors:
Konstantin Polyakov
Language:
Russian
ECTS credits:
3
Contact hours:
28
2026/2027
Data Analysis and Al Methods
Type:
Mago-Lego
Delivered by:
School of Computer Engineering
When:
1 module
Open to:
students of all HSE University campuses
Instructors:
Konstantin Polyakov
Language:
Russian
ECTS credits:
3
Contact hours:
28
Bachelor
2026/2027
Data Analysis and Applied Statistics
Type:
Compulsory course
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
3 year, 1 semester
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2026/2027
Data Analysis and Crypto Asset Market Modeling
Type:
Elective course (Financial Markets and Institutions)
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
2 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2026/2027
Data Analysis and Crypto Asset Market Modeling
Type:
Elective course (Financial Markets and Institutions)
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
2 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2026/2027
Data Analysis and Crypto Asset Market Modeling
Type:
Elective course (Financial Markets and Institutions)
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
2 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2026/2027
Data Analysis and Crypto Asset Market Modeling
Type:
Elective course (Financial Markets and Institutions)
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
1 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2026/2027
Data Analysis and Crypto Asset Market Modeling
Type:
Elective course (Financial Markets and Institutions)
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
1 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
2026/2027
Data Analysis and Crypto Asset Market Modeling
Type:
Mago-Lego
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
2026/2027
Data Analysis and Infographics in Corporate Management Systems
Type:
Optional course (university)
Delivered by:
School of Computer Engineering
When:
3, 4 module
Open to:
everyone
Instructors:
Ekaterina Nikolaevna Prokofyeva
Language:
Russian
ECTS credits:
6
Contact hours:
100
Bachelor
2026/2027
Data Analysis and Machine Learning
Type:
Compulsory course (Applied Mathematics)
Delivered by:
School of Applied Mathematics
When:
3 year, 1-3 module
Online hours:
30
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
76
Master
2026/2027
Data Analysis and Machine Learning
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Delivered by:
School of Applied Mathematics
When:
1 year, 3, 4 module
Online hours:
44
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
88
Master
2026/2027
Data Analysis and Machine Learning
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Delivered by:
School of Applied Mathematics
When:
1 year, 3, 4 module
Online hours:
44
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
88