Courses
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
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
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
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, 1, 2 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Andrey Zakharov
Language:
English
ECTS credits:
3
2024/2025
Machine Learning II
Type:
Mago-Lego
Delivered by:
Department of Educational Programmes
When:
2 module
Open to:
students of all HSE University campuses
Instructors:
Andrey Zakharov
Language:
English
ECTS credits:
3
Contact hours:
30
Bachelor
2024/2025
Machine learning in applied problems
Type:
Elective course (Economics and Data Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Joint Department with MTS
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
Bachelor
2024/2025
Machine learning in applied problems
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Joint Department with MTS
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
Master
2024/2025
Machine Learning in Bioinformatics
Type:
Elective course (Data Analysis in Biology and Medicine)
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:
distance learning
Online hours:
14
Open to:
students of one campus
Language:
English
ECTS credits:
6
2024/2025
Machine Learning in Bioinformatics
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1, 2 module
Online hours:
14
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
56
Master
2024/2025
Machine Learning in Business
Type:
Compulsory course (Digital Communications and Product Analytics)
Area of studies:
Advertising and Public Relations
Delivered by:
School of Communication
When:
1 year, 3, 4 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Instructors:
Anastasiya Semenova
Language:
Russian
ECTS credits:
6
2024/2025
Machine Learning in Business
Type:
Mago-Lego
Delivered by:
School of Communication
When:
3, 4 module
Online hours:
20
Open to:
students of one campus
Instructors:
Anastasiya Semenova
Language:
Russian
ECTS credits:
6
Contact hours:
60
Bachelor
2024/2025
Machine Learning in Economics
Type:
Compulsory course (Economics)
Area of studies:
Economics
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
3 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Sofia Dolgikh,
Anastasia Gergenreter,
Polina Pogorelova,
Bogdan Potanin,
Daria Zinchenko
Language:
Russian
ECTS credits:
3
Bachelor
2024/2025
Machine Learning in Economics
Type:
Compulsory course (Economics and Statistics)
Area of studies:
Economics
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
3 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Sofia Dolgikh,
Anastasia Gergenreter,
Polina Pogorelova,
Bogdan Potanin,
Daria Zinchenko
Language:
Russian
ECTS credits:
3
Bachelor
2024/2025
Machine Learning in Economics
Type:
Compulsory course (Economic Analysis)
Area of studies:
Economics
Delivered by:
Undergraduate Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
3 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Bogdan Potanin
Language:
Russian
ECTS credits:
3
2024/2025
Machine learning in economics and business
Type:
Mago-Lego
Delivered by:
Department of Mathematical Economics
When:
1, 2 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
32
2024/2025
Machine Learning in Finance
Type:
Mago-Lego
Delivered by:
School of Economics and Finance
When:
3 module
Open to:
students of one campus
Instructors:
Dmitry Kashin
Language:
Russian
ECTS credits:
3
Contact hours:
36
2024/2025
Machine Learning in Geospatial Studies
Type:
Mago-Lego
Delivered by:
Faculty of Geography and Geoinformation Technology
When:
3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56