Courses
Master
2024/2025
Data Analysis and Crypto Asset Market Modeling
Type:
Elective course (Financial Markets and Institutions)
Area of studies:
Finance and Credit
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Tamara Teplova
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2024/2025
Data Analysis and Crypto Asset Market Modeling
Type:
Elective course (Financial Markets and Institutions)
Area of studies:
Finance and Credit
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Tamara Teplova
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2024/2025
Data Analysis and Crypto Asset Market Modeling
Type:
Elective course (Financial Markets and Institutions)
Area of studies:
Finance and Credit
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Tamara Teplova
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2024/2025
Data Analysis and Crypto Asset Market Modeling
Type:
Elective course (Financial Markets and Institutions)
Area of studies:
Finance and Credit
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Tamara Teplova
Language:
Russian
ECTS credits:
6
Contact hours:
56
2024/2025
Data Analysis and Crypto Asset Market Modeling
Type:
Mago-Lego
Delivered by:
Department of Financial Market Infrastructure
When:
1, 2 module
Open to:
students of one campus
Instructors:
Tamara Teplova
Language:
Russian
ECTS credits:
6
Contact hours:
56
Bachelor
2024/2025
Data Analysis and Machine Learning
Type:
Compulsory course (Applied Mathematics)
Area of studies:
Applied Mathematics
Delivered by:
School of Applied Mathematics
When:
4 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
30
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
70
Bachelor
2024/2025
Data Analysis and Machine Learning
Type:
Compulsory course (Applied Mathematics)
Area of studies:
Applied Mathematics
Delivered by:
School of Applied Mathematics
When:
3 year, 2, 3 module
Mode of studies:
distance learning
Online hours:
30
Open to:
students of one campus
Instructors:
Konstantin Lvovich Polyakov
Language:
Russian
ECTS credits:
3
Contact hours:
80
Bachelor
2024/2025
Data Analysis and Machine Learning
Type:
Compulsory course (Applied Mathematics)
Area of studies:
Applied Mathematics
Delivered by:
School of Applied Mathematics
When:
4 year, 1-3 module
Mode of studies:
distance learning
Online hours:
30
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
90
Master
2024/2025
Data Analysis and Machine Learning
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 2, 3 module
Mode of studies:
distance learning
Online hours:
30
Open to:
students of all HSE University campuses
Instructors:
Ksenia Fimina
Language:
Russian
ECTS credits:
6
Contact hours:
72
Master
2024/2025
Data Analysis and Machine Learning
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 2, 3 module
Mode of studies:
distance learning
Online hours:
30
Open to:
students of all HSE University campuses
Instructors:
Ksenia Fimina
Language:
Russian
ECTS credits:
6
Contact hours:
72
Master
2024/2025
Data Analysis and Machine Learning
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 2, 3 module
Mode of studies:
distance learning
Online hours:
30
Open to:
students of all HSE University campuses
Instructors:
Ksenia Fimina
Language:
Russian
ECTS credits:
6
Contact hours:
72
Master
2024/2025
Data Analysis and Machine Learning
Type:
Compulsory course (Artificial Intelligence and Computer Vision)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Department of Applied Mathematics and Informatics
When:
1 year, 2 module
Mode of studies:
distance learning
Online hours:
90
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
12
2024/2025
Data Analysis and Machine Learning
Type:
Mago-Lego
Delivered by:
Department of Applied Mathematics and Informatics
When:
2 module
Online hours:
90
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
12
2024/2025
Data Analysis and Machine Learning
Type:
Mago-Lego
Delivered by:
School of Applied Mathematics
When:
2, 3 module
Online hours:
30
Open to:
students of all HSE University campuses
Instructors:
Ksenia Fimina
Language:
Russian
ECTS credits:
6
Contact hours:
72
Master
2024/2025
Data Analysis and Visualization
Type:
Compulsory course (Contemporary Journalism)
Area of studies:
Journalism
Delivered by:
Institute of Media
When:
1 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
32
Master
2024/2025
Data Analysis and Visualization
Type:
Compulsory course (Contemporary Journalism)
Area of studies:
Journalism
Delivered by:
Institute of Media
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
32
Bachelor
2024/2025
Data Analysis and Visualization in Excel
Type:
Compulsory course (Digital Marketing)
Area of studies:
Management
Delivered by:
Department of General and Strategic Management (Nizhny Novgorod)
When:
1 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
2024/2025
Data analysis and visualization using the R language
Type:
Mago-Lego
Delivered by:
Department of Mathematical Economics
When:
3 module
Open to:
students of one campus
Instructors:
Andrey M. Silaev
Language:
Russian
ECTS credits:
3
Contact hours:
40
2024/2025
Data analysis and visualization using the R language
Type:
Mago-Lego
Delivered by:
Department of Mathematical Economics
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40