Courses
2024/2025
Machine Learning
Type:
Mago-Lego
Delivered by:
School of Data Analysis and Artificial Intelligence
When:
1-4 module
Open to:
students of one campus
Instructors:
Sergey I. Nikolenko
Language:
Russian
ECTS credits:
12
Contact hours:
120
2024/2025
Machine Learning
Type:
Mago-Lego
Delivered by:
Department of Information Technologies in Business
When:
2, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
48
2024/2025
Machine Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
3, 4 module
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
48
2024/2025
Machine Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
48
2024/2025
Machine Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1, 2 module
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
48
Master
2024/2025
Machine Learning
Type:
Compulsory course (Research and Entrepreneurship in Artificial Intelligence)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Bachelor
2024/2025
Machine Learning
Type:
Compulsory course (Information and Communication Technologies and Systems)
Area of studies:
Infocommunication Technologies and Systems
Delivered by:
School of Electronic Engineering
When:
4 year, 2, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Sergey Vartanov
Language:
Russian
ECTS credits:
3
Contact hours:
48
Bachelor
2024/2025
Machine Learning
Type:
Compulsory course (Information and Communication Technologies and Systems)
Area of studies:
Infocommunication Technologies and Systems
Delivered by:
School of Electronic Engineering
When:
3 year, 2, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Sergey Vartanov
Language:
Russian
ECTS credits:
3
Contact hours:
48
Master
2024/2025
Machine Learning
Type:
Compulsory course (Applied Politics)
Area of studies:
Political Science
Delivered by:
School of Politics and Governance
Where:
Faculty of Social Sciences
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Arina Sinitsina
Language:
Russian
ECTS credits:
6
Contact hours:
48
2024/2025
Machine Learning
Type:
Mago-Lego
Delivered by:
School of Politics and Governance
When:
1, 2 module
Open to:
students of one campus
Instructors:
Arina Sinitsina
Language:
Russian
ECTS credits:
6
Contact hours:
48
Bachelor
2024/2025
Machine Learning 1
Type:
Elective course (HSE/NES Programme in Economics)
Area of studies:
Economics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Economic Sciences
When:
4 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
50
Open to:
students of one campus
Instructors:
Корпачев Сергей Сергеевич
Language:
Russian
ECTS credits:
6
Contact hours:
64
Bachelor
2024/2025
Machine Learning 1
Type:
Elective course (HSE/NES Programme in Economics)
Area of studies:
Economics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Economic Sciences
When:
3 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
50
Open to:
students of one campus
Instructors:
Корпачев Сергей Сергеевич
Language:
Russian
ECTS credits:
6
Contact hours:
64
Bachelor
2024/2025
Machine Learning 1
Type:
Elective course (HSE/NES Programme in Economics)
Area of studies:
Economics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Economic Sciences
When:
2 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
50
Open to:
students of one campus
Instructors:
Корпачев Сергей Сергеевич
Language:
Russian
ECTS credits:
6
Contact hours:
64
Bachelor
2024/2025
Machine Learning 1
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, 1, 2 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
56
Bachelor
2024/2025
Machine Learning 1
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:
distance learning
Online hours:
20
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
56
Bachelor
2024/2025
Machine Learning 1
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:
3 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 1
Type:
Compulsory 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, 1, 2 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
56
Bachelor
2024/2025
Machine Learning 1
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 one campus
Instructors:
Diana Susla
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2024/2025
Machine Learning 1
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, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56