Courses
Bachelor
2024/2025
Applied Statistical Data Analysis
Type:
Compulsory course (Computing and Data Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Contact hours:
56
Bachelor
2024/2025
Applied Statistical Data Analysis
Type:
Compulsory 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:
3 year, 1, 2 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
5
Contact hours:
56
Master
2024/2025
Applied Statistics
Type:
Compulsory course (Master of Data Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 1 module
Mode of studies:
distance learning
Online hours:
60
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
12
Master
2024/2025
Applied Statistics
Type:
Elective course (Data Analysis in Biology and Medicine)
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
Contact hours:
40
2024/2025
Applied Statistics
Type:
Optional course (faculty)
Delivered by:
Faculty of Mathematics
When:
4 module
Online hours:
111
Open to:
students of one campus
Instructors:
Inna Goncharova
Language:
Russian
ECTS credits:
6
Contact hours:
6
2024/2025
Applied Statistics
Type:
Optional course (faculty)
Delivered by:
Faculty of Mathematics
When:
2 module
Online hours:
111
Open to:
students of one campus
Instructors:
Inna Goncharova
Language:
Russian
ECTS credits:
6
Contact hours:
6
2024/2025
Applied Statistics
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
2024/2025
Applied Statistics
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1 module
Online hours:
60
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
12
2024/2025
Applied Statistics
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1 module
Online hours:
60
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
12
Master
2024/2025
Applied Statistics
Type:
Compulsory course
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 1 module
Mode of studies:
distance learning
Online hours:
60
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
12
Master
2024/2025
Applied Statistics and Data Science
Type:
Compulsory course (Data Analytics and Social Statistics)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
International Laboratory for Applied Network Research
Where:
Faculty of Social Sciences
When:
1 year, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Карташева Анна Александровна
Language:
English
ECTS credits:
6
Contact hours:
48
2024/2025
Applied Statistics for Data Analysis
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
3, 4 module
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
28
Master
2024/2025
Applied Statistics 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, 3, 4 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
28
2024/2025
Applied Stochastic Models and Control
Type:
Optional course (faculty)
Delivered by:
School of Applied Mathematics
When:
2, 3 module
Open to:
students of all HSE University campuses
Instructors:
Yulia Grishunina
Language:
Russian
ECTS credits:
7
Contact hours:
110
Master
2024/2025
Applied System Analysis
Type:
Compulsory course (System Programming)
Area of studies:
Software Engineering
Where:
Faculty of Computer Science
When:
1 year, 2 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Sergey V. Zelenov
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2024/2025
Applied System Analysis
Type:
Compulsory course (System and Software Engineering)
Area of studies:
Software Engineering
Delivered by:
School of Software Engineering
Where:
Faculty of Computer Science
When:
1 year, 2, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Konstantin Y. Degtyarev
Language:
English
ECTS credits:
6
Contact hours:
66
2024/2025
Applied System Analysis
Type:
Mago-Lego
Delivered by:
School of Software Engineering
When:
2, 3 module
Open to:
students of all HSE University campuses
Instructors:
Konstantin Y. Degtyarev
Language:
English
ECTS credits:
6
Contact hours:
66
2024/2025
Applied System Analysis
Type:
Mago-Lego
When:
2 module
Open to:
students of all HSE University campuses
Instructors:
Sergey V. Zelenov
Language:
Russian
ECTS credits:
3
Contact hours:
28
2024/2025
Applied Time Series Analysis
Type:
Mago-Lego
Delivered by:
Department of Mathematics
When:
3 module
Open to:
students of all HSE University campuses
Instructors:
Elena R. Goryainova
Language:
Russian
ECTS credits:
3
Contact hours:
42
Master
2024/2025
Approaches to Comparative Social Research
Type:
Compulsory course (Comparative Social Research)
Area of studies:
Sociology
Delivered by:
School of Sociology
Where:
Faculty of Social Sciences
When:
1 year, 2, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Aleksei Pobedonostsev
Language:
English
ECTS credits:
6
Contact hours:
40