Courses
Bachelor
2022/2023
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 one campus
Language:
Russian
ECTS credits:
5
Contact hours:
60
Master
2022/2023
Applied Statistics
Type:
Elective 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:
82
Open to:
students of one campus
Instructors:
Ksenia Kasianova
Language:
English
ECTS credits:
5
Contact hours:
8
Master
2022/2023
Applied Statistics
Type:
Elective 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:
82
Open to:
students of one campus
Instructors:
Ksenia Kasianova
Language:
English
ECTS credits:
5
Contact hours:
8
Master
2022/2023
Applied Statistics
Type:
Elective course (Joint Master's Programme with the Centre of Teaching Excellence)
Area of studies:
Mathematics
Delivered by:
Faculty of Mathematics
Where:
Faculty of Mathematics
When:
1 year, 3, 4 module
Mode of studies:
distance learning
Online hours:
111
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
8
Master
2022/2023
Applied Statistics
Type:
Elective course (Joint Master's Programme with the Centre of Teaching Excellence)
Area of studies:
Mathematics
Delivered by:
Faculty of Mathematics
Where:
Faculty of Mathematics
When:
2 year, 3 module
Mode of studies:
distance learning
Online hours:
111
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
6
Master
2022/2023
Applied Statistics
Category 'Best Course for Career Development'
Type:
Elective course (Data Analysis in Biology and Medicine)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Department of Complex System Modelling Technologies
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:
56
2022/2023
Applied Statistics
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1 module
Online hours:
82
Open to:
students of one campus
Instructors:
Ksenia Kasianova
Language:
English
ECTS credits:
5
Contact hours:
8
2022/2023
Applied Statistics
Category 'Best Course for Career Development'
Type:
Mago-Lego
Delivered by:
Department of Complex System Modelling Technologies
When:
3 module
Open to:
students of all HSE University campuses
Instructors:
Sergey Spirin
Language:
Russian
ECTS credits:
3
Contact hours:
56
2022/2023
Applied Statistics
Type:
Mago-Lego
Delivered by:
Faculty of Mathematics
When:
3 module
Online hours:
111
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
6
2022/2023
Applied Statistics
Type:
Mago-Lego
Delivered by:
Faculty of Mathematics
When:
3, 4 module
Online hours:
111
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
8
2022/2023
Applied Statistics
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1 module
Online hours:
82
Open to:
students of one campus
Instructors:
Ksenia Kasianova
Language:
English
ECTS credits:
5
Contact hours:
8
Master
2022/2023
Applied Statistics for Data Analysis
Type:
Compulsory course (Machine Learning and Data-Intensive Systems)
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:
26
2022/2023
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:
26
Bachelor
2022/2023
Applied Stochastic Models
Type:
Elective course (Applied Mathematics)
Area of studies:
Applied Mathematics
Delivered by:
School of Applied Mathematics
When:
4 year, 2, 3 module
Mode of studies:
offline
Language:
Russian
ECTS credits:
8
Contact hours:
82
2022/2023
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:
10
Contact hours:
110
Master
2022/2023
Applied System Analysis
Category 'Best Course for New Knowledge and Skills'
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:
32
Master
2022/2023
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:
distance learning
Online hours:
20
Open to:
students of all HSE University campuses
Instructors:
Konstantin Y. Degtyarev
Language:
English
ECTS credits:
6
Contact hours:
66
2022/2023
Applied System Analysis
Category 'Best Course for New Knowledge and Skills'
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:
32
2022/2023
Applied System Analysis
Type:
Mago-Lego
Delivered by:
School of Software Engineering
When:
2, 3 module
Online hours:
20
Open to:
students of all HSE University campuses
Instructors:
Konstantin Y. Degtyarev
Language:
English
ECTS credits:
6
Contact hours:
66
2022/2023
Applied Time Series Analysis
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
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