Courses
Master
2024/2025
Time Series Analysis
Type:
Compulsory course (Economics and Economic Policy)
Area of studies:
Economics
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Alexei Ujegov
Language:
Russian
ECTS credits:
6
Master
2024/2025
Time Series Analysis-1
Type:
Elective course (Economic Analysis)
Area of studies:
Economics
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
1 year, 3 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Master
2024/2025
Time Series Analysis-1
Type:
Elective course (Economic Analysis)
Area of studies:
Economics
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
1 year, 3 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
2024/2025
Time Series Analysis-1
Type:
Mago-Lego
Delivered by:
Master's Programmes Curriculum Support
When:
3 module
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
16
Bachelor
2024/2025
Time Series Analysis-1
Type:
Elective course
Area of studies:
Economics
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
4 year, 1 semester
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
60
Master
2024/2025
Time Series Analysis-2
Type:
Elective course (Economic Analysis)
Area of studies:
Economics
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Master
2024/2025
Time Series Analysis-2
Type:
Elective course (Economic Analysis)
Area of studies:
Economics
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
2024/2025
Time Series Analysis-2
Type:
Mago-Lego
Delivered by:
Master's Programmes Curriculum Support
When:
4 module
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
16
Bachelor
2024/2025
Time Series Analysis-2
Type:
Elective course
Area of studies:
Economics
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
4 year, 2 semester
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
60
2024/2025
Time Series Analysis and Forecasting
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
2 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
24
Master
2024/2025
Time Series Analysis and Forecasting
Type:
Compulsory course (Master of Data Science)
Delivered by:
Big Data and Information Retrieval School
When:
2 year, 2 module
Open to:
students of one campus
Language:
English
2024/2025
Time series analysis using machine learning methods
Type:
Mago-Lego
Delivered by:
Department of Mathematical Economics
When:
3 module
Open to:
students of all HSE University campuses
Instructors:
Svetlana A. Lapinova
Language:
Russian
ECTS credits:
3
Contact hours:
56
Bachelor
2024/2025
Time Series and Panel Data Analysis
Type:
Elective course (International Programme in Economics and Finance)
Area of studies:
Economics
Delivered by:
International College of Economics and Finance
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
4
2024/2025
Time Series and Signal Processing
Type:
Mago-Lego
Delivered by:
Joint Department with MTS
When:
2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2024/2025
Time Series and Signal Processing
Type:
Compulsory course (Research and Entrepreneurship in Artificial Intelligence)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
When:
1 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Bachelor
2024/2025
Time Series and Stochastic Processes
Type:
Compulsory course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Department of Mathematics
Where:
Faculty of Computer Science
When:
4 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Elena R. Goryainova
Language:
English
ECTS credits:
4
2024/2025
Time Series and Their Application
Type:
Compulsory course
Delivered by:
Department of Statistics and Data Analysis
Where:
Faculty of Economic Sciences
When:
3, 4 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
5
Bachelor
2024/2025
Time Series Modeling
Type:
Elective course (Economics and Data Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Economic Sciences
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Bachelor
2024/2025
Time Series Modeling
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, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Master
2024/2025
Time Series Modeling and Anomaly Search
Type:
Compulsory 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:
2 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3