Courses
2023/2024
STI Policy. Domains
Type:
Mago-Lego
Delivered by:
Department of Educational Programmes
When:
4 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
32
Master
2023/2024
STI Policy. Domains
Type:
Compulsory course (Science, Technology and Innovation Management and Policy)
Area of studies:
Management
Delivered by:
Department of Educational Programmes
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
32
2023/2024
Stochastic Analysis in Finance
Type:
Mago-Lego
Delivered by:
HSE Banking Institute
When:
4 module
Online hours:
20
Open to:
students of one campus
Instructors:
Svetlana Popova
Language:
English
ECTS credits:
3
Contact hours:
8
Master
2023/2024
Stochastic Analysis in Finance
Type:
Elective course (Financial Analyst)
Area of studies:
Finance and Credit
Delivered by:
HSE Banking Institute
Where:
HSE Banking Institute
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
32
Master
2023/2024
Stochastic Analysis in Finance
Type:
Elective course (Master of Finance)
Area of studies:
Finance and Credit
Delivered by:
HSE Banking Institute
Where:
HSE Banking Institute
When:
1 year, 4 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Instructors:
Svetlana Popova
Language:
English
ECTS credits:
3
Contact hours:
8
Bachelor
2023/2024
Stochastic Calculus
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 one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
2023/2024
Stochastic Estimates and Control
Type:
Optional course (faculty)
Delivered by:
School of Applied Mathematics
When:
3 module
Open to:
students of all HSE University campuses
Instructors:
Andrey Dmitriev
Language:
Russian
ECTS credits:
5
Contact hours:
72
Master
2023/2024
Stochastic Methods for Engineering Applications
Type:
Elective course (Applied Artificial Intelligence Models)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2023/2024
Stochastic Methods for Engineering Applications
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2023/2024
Stochastic Methods for Engineering Applications
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2023/2024
Stochastic Methods for Engineering Applications
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2023/2024
Stochastic Methods for Engineering Applications
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2023/2024
Stochastic Methods for Engineering Applications
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2023/2024
Stochastic Methods for Engineering Applications
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
2023/2024
Stochastic Methods for Engineering Applications
Type:
Mago-Lego
Delivered by:
School of Applied Mathematics
When:
3, 4 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2023/2024
Stochastic Models in Finance
Type:
Elective course (Financial Engineering)
Area of studies:
Finance and Credit
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
2 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
28
2023/2024
Stochastic Models in Finance
Type:
Mago-Lego
Delivered by:
Master's Programmes Curriculum Support
When:
3 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
28
Bachelor
2023/2024
Stochastic Processes
Type:
Elective course (HSE/NES Programme in Economics)
Area of studies:
Economics
Delivered by:
Department of Statistics and Data Analysis
Where:
Faculty of Economic Sciences
When:
4 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Instructors:
Vladimir Panov
Language:
Russian
ECTS credits:
6
Contact hours:
56
Bachelor
2023/2024
Stochastic Processes
Type:
Elective course (Economics)
Area of studies:
Economics
Delivered by:
Department of Statistics and Data Analysis
Where:
Faculty of Economic Sciences
When:
4 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Instructors:
Vladimir Panov
Language:
Russian
ECTS credits:
6
Contact hours:
56