Courses
Bachelor
2024/2025
Mathematical Statistics 1
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
4
Bachelor
2024/2025
Mathematical Statistics 1 (advanced course)
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
2024/2025
Mathematical Statistics (advanced course)
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
4 module
Open to:
students of one campus
Instructors:
Dmitry A. Shabanov
Language:
Russian
Bachelor
2024/2025
Mathematical Statistics and Data Analysis
Type:
Compulsory course (Joint Bachelor's Programme with the Centre for Teaching Excellence)
Area of studies:
Mathematics
Delivered by:
Faculty of Mathematics
Where:
Faculty of Mathematics
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Bachelor
2024/2025
Mathematical Statistics and Data Analysis
Type:
Compulsory course (Mathematics)
Area of studies:
Mathematics
Delivered by:
Faculty of Mathematics
Where:
Faculty of Mathematics
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Bachelor
2024/2025
Mathematic Methods in Historical Research
Type:
Elective course (History)
Area of studies:
History
Delivered by:
School of History
Where:
Faculty of Humanities
When:
4 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Dmitriy Dobrowolski
Language:
Russian
ECTS credits:
3
2024/2025
Mathematico-statistical Methods of Research of Extremal Events
Type:
Mago-Lego
Delivered by:
Department of Statistics and Data Analysis
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Master
2024/2025
Mathematico-statistical Methods of Research of Extremal Events
Type:
Compulsory course (Stochastic Modeling in Economics and Finance)
Area of studies:
Economics
Delivered by:
Department of Statistics and Data Analysis
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
Bachelor
2024/2025
Mathematics and Statistics
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:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
4
2024/2025
Mathematics for Data Analysis
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1-4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
12
2024/2025
Mathematics for Data Analysis
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1-3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
9
2024/2025
Mathematics for Data Analysis
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
2024/2025
Mathematics for Data Analysis
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1, 2 module
Online hours:
26
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Master
2024/2025
Mathematics for Data Analysis
Type:
Compulsory course (Big Data Analytics)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
12
Master
2024/2025
Mathematics for Data Analysis
Type:
Compulsory course (Artificial Intelligence in Marketing and Product Management)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1-3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
9
Master
2024/2025
Mathematics for Data Analysis
Type:
Compulsory course (Artificial Intelligence)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
26
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Master
2024/2025
Mathematics for Data Analysis
Type:
Elective course (Product-Driven Approach and Data Analytics in HR Management)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
2024/2025
Mathematics for data analysis (adaptation course)
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1, 2 module
Open to:
students of one campus
Instructors:
Кубаева Ассоль Рауфжоновна
Language:
Russian
ECTS credits:
6
2024/2025
Mathematics for Data Analysis (Linear Algebra)
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
2 module
Open to:
students of one campus
Instructors:
Pavel Sokolov
Language:
Russian
ECTS credits:
3
Master
2024/2025
Mathematics for Data Analysis (Linear Algebra)
Type:
Elective course (Data Analysis in Development)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Pavel Sokolov
Language:
Russian
ECTS credits:
3