Courses
2024/2025
Machine Learning 1
Type:
Mago-Lego
Delivered by:
Joint Department with Yandex
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Bachelor
2024/2025
Machine Learning 2
Type:
Elective course (HSE/NES Programme in Economics)
Area of studies:
Economics
Delivered by:
Undergraduate Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
4 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
64
Bachelor
2024/2025
Machine Learning 2
Type:
Elective course (HSE/NES Programme in Economics)
Area of studies:
Economics
Delivered by:
Undergraduate Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
64
Bachelor
2024/2025
Machine Learning 2
Type:
Elective course (HSE/NES Programme in Economics)
Area of studies:
Economics
Delivered by:
Undergraduate Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
2 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
64
Bachelor
2024/2025
Machine Learning 2
Type:
Compulsory 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
Contact hours:
80
Bachelor
2024/2025
Machine Learning 2
Type:
Compulsory course (Data Science and Business Analytics)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
56
Bachelor
2024/2025
Machine Learning 2
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
Contact hours:
80
Bachelor
2024/2025
Machine Learning 2
Type:
Elective course (Computational Social Sciences)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Social Sciences
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
Bachelor
2024/2025
Machine Learning 2
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, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
Bachelor
2024/2025
Machine Learning 2
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, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2024/2025
Machine Learning 2
Type:
Elective course (Modern Computer Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Joint Department with Yandex
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
2024/2025
Machine Learning 2
Type:
Mago-Lego
Delivered by:
Joint Department with Yandex
When:
3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2024/2025
Machine Learning (Advanced level)
Type:
Elective course (Economics and Economic Policy)
Area of studies:
Economics
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Pasha Andreyanov
Language:
English
ECTS credits:
3
Contact hours:
36
Master
2024/2025
Machine Learning (Advanced level)
Type:
Elective course (Economics and Economic Policy)
Area of studies:
Economics
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Pasha Andreyanov
Language:
English
ECTS credits:
3
Contact hours:
36
2024/2025
Machine Learning (Advanced level)
Type:
Mago-Lego
Delivered by:
Department of Theoretical Economics
When:
4 module
Open to:
students of all HSE University campuses
Instructors:
Pasha Andreyanov
Language:
English
ECTS credits:
3
Contact hours:
36
Master
2024/2025
Machine Learning (Advanced level)
Type:
Elective course (Economics and Economic Policy)
Area of studies:
Economics
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Pasha Andreyanov
Language:
English
ECTS credits:
3
Contact hours:
36
Master
2024/2025
Machine Learning (Advanced level)
Type:
Elective course (Economics and Economic Policy)
Area of studies:
Economics
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Pasha Andreyanov
Language:
English
ECTS credits:
3
Contact hours:
36
Master
2024/2025
Machine Learning and AI in the World Economy
Type:
Elective course (World Economy)
Area of studies:
Economics
Delivered by:
School of World Economy
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
6
Contact hours:
40
2024/2025
Machine Learning and AI in the World Economy
Type:
Mago-Lego
Delivered by:
School of World Economy
When:
1, 2 module
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
6
Contact hours:
40
Master
2024/2025
Machine learning and artificial intelligence
Type:
Compulsory course (Internet of Things and Cyber-physical Systems)
Area of studies:
Infocommunication Technologies and Systems
Delivered by:
School of Electronic Engineering
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Шайхелисламов Данил Салаватович
Language:
Russian
ECTS credits:
6
Contact hours:
60