Courses
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
Contact hours:
124
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
Contact hours:
28
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
Contact hours:
26
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
Instructors:
Пепа Руслан Юрьевич
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
Contact hours:
56
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
Language:
Russian
ECTS credits:
3
Contact hours:
28
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
2024/2025
Mathematics for Data Analysis (Mathematical Statistics)
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2024/2025
Mathematics for Data Analysis (Mathematical Statistics)
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, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Ian Pilé
Language:
Russian
ECTS credits:
3
2024/2025
Mathematics for Data Analysis (Probability Theory)
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2024/2025
Mathematics for Data Analysis (Probability Theory)
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, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Bachelor
2024/2025
Mathematics for Economics and Business
Type:
Compulsory course (HSE University and Kyung Hee University Double Degree Programme in Economics and Politics in Asia)
Area of studies:
Foreign Regional Studies
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
Instructors:
Ivan Deseatnicov
Language:
English
ECTS credits:
3
Master
2024/2025
Mathematics for Economists
Type:
Elective course (Economic Analysis)
Area of studies:
Economics
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
2 year, 3 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
English
ECTS credits:
3
Master
2024/2025
Mathematics for Economists
Type:
Elective course (Economic Analysis)
Area of studies:
Economics
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
2 year, 3 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
English
ECTS credits:
3
Master
2024/2025
Mathematics for Economists
Type:
Elective course (Economic Analysis)
Area of studies:
Economics
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
2 year, 3 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
English
ECTS credits:
3
Bachelor
2024/2025
Mathematics for Economists
Type:
Compulsory course (International Programme in Economics and Finance)
Area of studies:
Economics
Delivered by:
International College of Economics and Finance
When:
2 year, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
10
Bachelor
2024/2025
Mathematics for Economists
Type:
Compulsory course (International Programme in Economics and Finance)
Area of studies:
Economics
Delivered by:
International College of Economics and Finance
When:
2 year, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
10