Courses
Master
2026/2027
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:
Seungmin Jin
Language:
English
ECTS credits:
6
Contact hours:
40
Master
2026/2027
Recommender Systems
Type:
Elective course (Machine Learning in a Digital Product)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2026/2027
Recommender Systems
Type:
Elective course (Financial Technologies and Data Analysis)
Delivered by:
Joint Department with Sber
Where:
Faculty of Computer Science
When:
2 year, 1 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2026/2027
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
Contact hours:
28
Bachelor
2026/2027
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
Language:
Russian
ECTS credits:
6
Contact hours:
80
Bachelor
2026/2027
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
Language:
English
ECTS credits:
4
Contact hours:
40
Master
2026/2027
Recommender Systems
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
Language:
Russian
ECTS credits:
6
Contact hours:
80
Bachelor
2026/2027
Recommender Systems
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
2026/2027
Recommender Systems
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 one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2026/2027
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
Bachelor
2026/2027
Recommender Systems
Type:
Elective course
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
Language:
Russian
ECTS credits:
4
Contact hours:
82
2026/2027
Recommender Systems
Type:
Mago-Lego
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
Open to:
students of all HSE University campuses
Instructors:
Seungmin Jin
Language:
Russian
ECTS credits:
6
Contact hours:
40
2026/2027
Recommender Systems
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
2026/2027
Recommender Systems
Type:
Mago-Lego
Delivered by:
Joint Department with Sber
Where:
Faculty of Computer Science
When:
1 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
2026/2027
Recommender Systems
Type:
Mago-Lego
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
2026/2027
Recommender Systems
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
2026/2027
Recommender Systems
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
Open to:
students of all HSE University campuses
Instructors:
Seungmin Jin
Language:
Russian
ECTS credits:
6
Contact hours:
48
Bachelor
2026/2027
Recommender Systems
Type:
Elective course (Business Informatics)
Delivered by:
Department of Business Informatics
When:
3 year, 4 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
36
2026/2027
RecSys
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 module
Open to:
students of one campus
Instructors:
Alexander Tarakanov
Language:
Russian
ECTS credits:
3
Contact hours:
24
2026/2027
Reforming the Industry: The Case of the Russian Electric Power Industry
Type:
Mago-Lego
Delivered by:
School of Innovation and Entrepreneurship
Where:
School of Innovation and Entrepreneurship
When:
2 module
Online hours:
48
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
3
Contact hours:
6