Courses
2025/2026
Reception of Roman Law in Western Europe
Type:
Mago-Lego
Delivered by:
School of Theory of Law and Comparative Law
Where:
Faculty of Law
When:
4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
32
Master
2025/2026
Recommender Systems
Type:
Elective course (Data Science)
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
2 year, 1, 2 module
Open to:
students of all HSE University campuses
Instructors:
Dmitry I. Ignatov
Language:
English
ECTS credits:
6
Contact hours:
40
2025/2026
Recommender Systems
Type:
Mago-Lego
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
1, 2 module
Open to:
students of all HSE University campuses
Instructors:
Dmitry I. Ignatov
Language:
English
ECTS credits:
6
Contact hours:
40
Bachelor
2025/2026
Recommender Systems
Type:
Elective course (Computing and Data Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Open to:
students of one campus
Instructors:
Marina Ananyeva
Language:
Russian
ECTS credits:
6
Master
2025/2026
Recommender Systems
Type:
Elective course (Business Analytics and Big Data Systems)
Delivered by:
Department of Business Informatics
When:
2 year, 1, 2 module
Open to:
students of all HSE University campuses
Instructors:
Seungmin Jin
Language:
English
ECTS credits:
6
Contact hours:
48
2025/2026
Recommender Systems
Category 'Best Course for New Knowledge and Skills'
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3, 4 module
Open to:
students of one campus
Instructors:
Marina Ananyeva
Language:
Russian
ECTS credits:
6
Contact hours:
80
2025/2026
Recommender Systems
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
When:
1, 2 module
Open to:
students of all HSE University campuses
Instructors:
Seungmin Jin
Language:
English
ECTS credits:
6
Contact hours:
48
Master
2025/2026
Recommender Systems
Type:
Elective course (Financial Technologies and Data Analysis)
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
Where:
Faculty of Computer Science
When:
2 year, 1 module
Open to:
students of one campus
Instructors:
Хусаенов Артем Азатович
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2025/2026
Recommender Systems
Type:
Compulsory course (Research and Entrepreneurship in Artificial Intelligence)
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
When:
2 year, 1 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Bachelor
2025/2026
Recommender Systems
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Joint Department with T-Вank
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2025/2026
Recommender Systems
Category 'Best Course for New Knowledge and Skills'
Type:
Elective course (Artificial Intelligence)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Open to:
students of one campus
Instructors:
Marina Ananyeva
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2025/2026
Recommender Systems
Type:
Elective course (Modern Computer Science)
Delivered by:
Joint Department with Yandex
Where:
Faculty of Computer Science
When:
1 year, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
2025/2026
Recommender Systems
Type:
Mago-Lego
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
Where:
Faculty of Computer Science
When:
1 module
Open to:
students of one campus
Instructors:
Хусаенов Артем Азатович
Language:
Russian
ECTS credits:
3
Contact hours:
28
2025/2026
Recommender Systems
Type:
Mago-Lego
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
When:
1 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
2025/2026
Recommender Systems
Type:
Mago-Lego
Delivered by:
Joint Department with Yandex
Where:
Faculty of Computer Science
When:
4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
Bachelor
2025/2026
Recommender Systems
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
4 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Contact hours:
56
Bachelor
2025/2026
Recommender Systems
Type:
Elective course (Data Science and Business Analytics)
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
When:
4 year, 3 module
Open to:
students of one campus
Instructors:
Кузнецов Сергей Юрьевич,
Шарафутдинов Наил Камилович,
Карамнова Юлия Андреевна
Language:
English
ECTS credits:
4
Contact hours:
40
Master
2025/2026
Recommender Systems
Type:
Elective course
Where:
Faculty of Computer Science
When:
2 year, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
64
Bachelor
2025/2026
Recruitment Technologies
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Elective course (Psychology)
Delivered by:
School of Psychology
Where:
Faculty of Social Sciences
When:
3 year, 3 module
Open to:
students of one campus
Instructors:
Бойцова Анастасия Владимировна
Language:
Russian
ECTS credits:
3
Contact hours:
22