Courses
Bachelor
2023/2024
Applied Statistical Data Analysis
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:
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
Bachelor
2023/2024
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
Bachelor
2023/2024
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 all HSE University campuses
Language:
Russian
ECTS credits:
5
Contact hours:
56
2023/2024
Applied Statistics
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1 module
Online hours:
52
Open to:
students of one campus
Instructors:
Ksenia Kasianova
Language:
English
ECTS credits:
3
Contact hours:
10
2023/2024
Applied Statistics
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
3 module
Open to:
students of all HSE University campuses
Instructors:
Sergey Spirin
Language:
Russian
ECTS credits:
3
Contact hours:
40
2023/2024
Applied Statistics
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1 module
Online hours:
52
Open to:
students of one campus
Instructors:
Ksenia Kasianova
Language:
English
ECTS credits:
3
Contact hours:
10
2023/2024
Applied Statistics
Type:
Optional course (faculty)
Delivered by:
Big Data and Information Retrieval School
When:
1 module
Online hours:
52
Open to:
students of one campus
Instructors:
Ksenia Kasianova
Language:
English
ECTS credits:
3
Contact hours:
10
2023/2024
Applied Statistics
Type:
Optional course (faculty)
Delivered by:
Big Data and Information Retrieval School
When:
1 module
Online hours:
52
Open to:
students of one campus
Instructors:
Ksenia Kasianova
Language:
English
ECTS credits:
3
Contact hours:
10
Master
2023/2024
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 all HSE University campuses
Instructors:
Sergey Spirin
Language:
Russian
ECTS credits:
3
Contact hours:
40
2023/2024
Applied Statistics
Type:
Optional course (faculty)
Delivered by:
Faculty of Mathematics
When:
2 module
Online hours:
111
Open to:
students of one campus
Instructors:
Lydia Bychkova
Language:
Russian
ECTS credits:
6
Contact hours:
6
2023/2024
Applied Statistics
Type:
Optional course (faculty)
Delivered by:
Faculty of Mathematics
When:
4 module
Online hours:
111
Open to:
students of one campus
Instructors:
Mauro Mariani
Language:
Russian
ECTS credits:
6
Contact hours:
6
Master
2023/2024
Applied Statistics for Data Analysis
Type:
Compulsory course
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
Instructors:
Filipp Ulyankin
Language:
Russian
ECTS credits:
6
Contact hours:
28
2023/2024
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
Instructors:
Filipp Ulyankin
Language:
Russian
ECTS credits:
6
Contact hours:
28
2023/2024
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
Language:
Russian
ECTS credits:
8
Contact hours:
110
Master
2023/2024
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
2023/2024
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
2023/2024
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
2023/2024
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
Master
2023/2024
Applied Technologies of Marketing Communications: Communications at the Point of Sale, BTL, DM
Type:
Compulsory course (Marketing: Digital Technology and Marketing Communications)
Area of studies:
Management
Delivered by:
Department of Marketing
Where:
Graduate School of Business
When:
2 year, 1 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Alexander V. Lebedev
Language:
English
ECTS credits:
3
Contact hours:
24
2023/2024
Applied Technologies of Marketing Communications: Communications at the Point of Sale, BTL, DM
Type:
Mago-Lego
Delivered by:
Department of Marketing
When:
1 module
Open to:
students of one campus
Instructors:
Alexander V. Lebedev
Language:
English
ECTS credits:
3
Contact hours:
24