Courses
Master
2024/2025
Data Analysis and Al Methods
Type:
Compulsory course (Computer Systems and Networks)
Area of studies:
Information Science and Computation Technology
Delivered by:
School of Computer Engineering
When:
1 year, 1 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Konstantin Lvovich Polyakov
Language:
Russian
ECTS credits:
3
Master
2024/2025
Data Analysis and Al Methods
Type:
Compulsory course (Computer Systems and Networks)
Area of studies:
Information Science and Computation Technology
Delivered by:
School of Computer Engineering
When:
1 year, 1 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Konstantin Lvovich Polyakov
Language:
Russian
ECTS credits:
3
2024/2025
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 Lvovich Polyakov
Language:
Russian
ECTS credits:
3
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
Language:
Russian
ECTS credits:
6
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
Language:
Russian
ECTS credits:
6
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
Language:
Russian
ECTS credits:
6
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
Language:
Russian
ECTS credits:
6
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
Language:
Russian
ECTS credits:
6
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
Language:
Russian
ECTS credits:
6
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
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
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
Language:
Russian
ECTS credits:
6
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
Language:
Russian
ECTS credits:
6
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
Language:
Russian
ECTS credits:
6
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
Language:
Russian
ECTS credits:
6
2024/2025
Data Analysis and Visualization
Type:
Mago-Lego
Delivered by:
Institute of Media
When:
3 module
Open to:
students of one campus
Instructors:
Maria Kazakova
Language:
English
ECTS credits:
3
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
Instructors:
Maria Kazakova
Language:
English
ECTS credits:
3
Bachelor
2024/2025
Data Analysis and Visualization
Type:
Elective course
When:
4 year, 2 module
Open to:
students of one campus
Language:
Russian
Bachelor
2024/2025
Data Analysis for Linguists
Type:
Elective course (Fundamental and Computational Linguistics)
Area of studies:
Fundamental and Applied Linguistics
Delivered by:
School of Linguistics
Where:
Faculty of Humanities
When:
4 year, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
George Moroz
Language:
Russian
ECTS credits:
3
Bachelor
2024/2025
Data Analysis for Linguists
Type:
Elective course (Fundamental and Computational Linguistics)
Area of studies:
Fundamental and Applied Linguistics
Delivered by:
School of Linguistics
Where:
Faculty of Humanities
When:
3 year, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
George Moroz
Language:
Russian
ECTS credits:
3