Courses
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
2024/2025
Machine learning and artificial intelligence
Type:
Mago-Lego
Delivered by:
School of Electronic Engineering
When:
1, 2 module
Open to:
students of all HSE University campuses
Instructors:
Шайхелисламов Данил Салаватович
Language:
Russian
ECTS credits:
6
Contact hours:
60
2024/2025
Machine learning and artificial intelligence
Type:
Mago-Lego
Delivered by:
School of Electronic Engineering
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
60
Master
2024/2025
Machine Learning and Big Data Mining
Type:
Compulsory course (Digital Product Management)
Area of studies:
Business Informatics
Delivered by:
Department of Business Informatics
Where:
Graduate School of Business
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
24
2024/2025
Machine Learning and Big Data Mining
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
24
Master
2024/2025
Machine Learning and Data Mining
Type:
Elective course (Data Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Majid Sohrabi
Language:
English
ECTS credits:
6
Contact hours:
54
2024/2025
Machine Learning and Data Mining
Type:
Mago-Lego
Delivered by:
School of Data Analysis and Artificial Intelligence
When:
1, 2 module
Open to:
students of all HSE University campuses
Instructors:
Majid Sohrabi
Language:
English
ECTS credits:
6
Contact hours:
54
Master
2024/2025
Machine Learning for a Model Construction
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
44
2024/2025
Machine Learning for a Model Construction
Type:
Mago-Lego
Delivered by:
School of Applied Mathematics
When:
4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
44
Master
2024/2025
Machine Learning for Economics Research
Type:
Elective course (Economics and Economic Policy)
Area of studies:
Economics
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Bogdan Potanin
Language:
Russian
ECTS credits:
3
Contact hours:
28
2024/2025
Machine Learning for Economics Research
Type:
Mago-Lego
Delivered by:
Department of Applied Economics
When:
2 module
Open to:
students of one campus
Instructors:
Bogdan Potanin
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2024/2025
Machine Learning for Economics Research
Type:
Elective course (Economics and Economic Policy)
Area of studies:
Economics
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Bogdan Potanin
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2024/2025
Machine Learning for Economists
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:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
36
2024/2025
Machine Learning for Economists
Type:
Mago-Lego
Delivered by:
Master's Programmes Curriculum Support
When:
4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
36
Master
2024/2025
Machine Learning II
Type:
Elective course (Science of Learning and Assessment)
Area of studies:
Psychology
Delivered by:
Department of Educational Programmes
Where:
Institute of Education
When:
2 year, 2 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Andrey Zakharov
Language:
English
ECTS credits:
3
Contact hours:
30