Courses
2023/2024
Data Analysis
Type:
Mago-Lego
Delivered by:
School of Linguistics
When:
3, 4 module
Open to:
students of all HSE University campuses
Instructors:
Anna Senina
Language:
Russian
ECTS credits:
6
Contact hours:
64
2023/2024
Data Analysis
Type:
Mago-Lego
Delivered by:
School of Data Analysis and Artificial Intelligence
When:
1, 2 module
Open to:
students of one campus
Instructors:
Boris Mirkin
Language:
English
ECTS credits:
6
Contact hours:
56
2023/2024
Data Analysis
Type:
Mago-Lego
Delivered by:
School of Applied Mathematics
When:
1, 2 module
Open to:
students of one campus
Instructors:
Maksim Kulaev
Language:
Russian
ECTS credits:
6
Contact hours:
60
Master
2023/2024
Data Analysis
Type:
Compulsory course (Digital Humanities)
Area of studies:
Fundamental and Applied Linguistics
Delivered by:
School of Linguistics
Where:
Faculty of Humanities
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Anna Senina
Language:
Russian
ECTS credits:
6
Contact hours:
64
Master
2023/2024
Data Analysis
Type:
Compulsory course (Applied Artificial Intelligence Models)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Maksim Kulaev
Language:
Russian
ECTS credits:
6
Contact hours:
60
Bachelor
2023/2024
Data Analysis
Type:
Compulsory course (International Program 'International Relations and Global Studies')
Area of studies:
Public Policy and Social Sciences
Delivered by:
Faculty of World Economy and International Affairs
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Maksim Karpov
Language:
English
ECTS credits:
3
Contact hours:
24
Bachelor
2023/2024
Data Analysis
Type:
Compulsory course (International Program 'International Relations and Global Studies')
Area of studies:
International Relations
Delivered by:
Faculty of World Economy and International Affairs
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Maksim Karpov
Language:
English
ECTS credits:
3
Contact hours:
24
Bachelor
2023/2024
Data Analysis
Type:
Elective course
Area of studies:
Economics
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
4 year, 1 semester
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
8
Contact hours:
90
Bachelor
2023/2024
Data Analysis
Type:
Elective course
Area of studies:
Economics
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
3 year, 2 semester
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
72
Bachelor
2023/2024
Data Analysis (Advanced level)
Type:
Elective course
Area of studies:
Economics
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
4 year, 1 semester
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
8
Contact hours:
90
Bachelor
2023/2024
Data Analysis and Applied Statistics
Type:
Compulsory course
Area of studies:
Economics
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
3 year, 1 semester
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2023/2024
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
Contact hours:
56
Master
2023/2024
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
Contact hours:
56
2023/2024
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
Contact hours:
56
Master
2023/2024
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
Contact hours:
56
Master
2023/2024
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
Contact hours:
56
Master
2023/2024
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
Contact hours:
72
Master
2023/2024
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
Contact hours:
72
Master
2023/2024
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
Contact hours:
72
Master
2023/2024
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
Contact hours:
72