Courses
Master
2026/2027
Machine Learning and Artificial Intelligence Technologies
Type:
Compulsory course (Artificial Intelligence Technologies in Telecommunications)
Delivered by:
School of Electronic Engineering
When:
1 year, 3, 4 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
52
2026/2027
Machine Learning and Artificial Intelligence Technologies
Type:
Mago-Lego
Delivered by:
School of Electronic Engineering
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
52
Master
2026/2027
Machine Learning and Big Data Mining
Type:
Elective course (Digital Product Management)
Delivered by:
Department of Business Informatics
When:
2 year, 1 module
Online hours:
20
Open to:
students of one campus
Instructors:
Sergey Makrushin
Language:
Russian
ECTS credits:
3
Contact hours:
24
2026/2027
Machine Learning and Big Data Mining
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
When:
1 module
Online hours:
20
Open to:
students of one campus
Instructors:
Sergey Makrushin
Language:
Russian
ECTS credits:
3
Contact hours:
24
Master
2026/2027
Machine Learning and Data Mining
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
Language:
English
ECTS credits:
6
Contact hours:
54
2026/2027
Machine Learning and Data Mining
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
Language:
Russian
ECTS credits:
6
Contact hours:
54
Master
2026/2027
Machine Learning and Deep Learning Basics
Type:
Compulsory course (Big Data Analytics)
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
2026/2027
Machine Learning and Deep Learning Basics
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:
56
Bachelor
2026/2027
Machine Learning and Intelligent Technologies
Type:
Compulsory course (Information Science and Computation Technology)
Delivered by:
School of Computer Engineering
When:
3 year, 3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Contact hours:
82
Master
2026/2027
Machine Learning and Neural Network Technologies in the Gaming Industry
Type:
Compulsory course (Digital Engineering for Computer Games)
Delivered by:
School of Applied Mathematics
When:
2 year, 1, 2 module
Open to:
students of one campus
Instructors:
Дьяченко Станислав Сергеевич
Language:
Russian
ECTS credits:
6
Contact hours:
48
Master
2026/2027
Machine Learning and Neural Network Technologies in the Gaming Industry
Type:
Compulsory course (Digital Engineering for Computer Games)
Delivered by:
School of Applied Mathematics
When:
1 year, 4 module
Open to:
students of one campus
Instructors:
Дьяченко Станислав Сергеевич
Language:
Russian
ECTS credits:
3
Contact hours:
24
Master
2026/2027
Machine Learning and Recommender Systems
Type:
Compulsory course (Product Management in IT Business)
Delivered by:
Department of Business Informatics
When:
2 year, 1, 2 module
Open to:
students of one campus
Instructors:
Seungmin Jin
Language:
English
ECTS credits:
6
Contact hours:
48
2026/2027
Machine Learning and Recommender Systems
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
When:
1, 2 module
Open to:
students of one campus
Instructors:
Seungmin Jin
Language:
English
ECTS credits:
6
Contact hours:
48
Bachelor
2026/2027
Machine Learning: Basic Concepts
Type:
Compulsory course
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
3 year, 1 semester
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Contact hours:
52
Master
2026/2027
Machine Learning for Agrobiotech
Type:
Compulsory course (Bioinformatics in Agrobiotechnology)
Delivered by:
Institute for Agrarian Studies
Where:
Research Departments
When:
2 year, 1 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2026/2027
Machine Learning for Agrobiotech
Type:
Compulsory course (Bioinformatics in Agrobiotechnology)
Delivered by:
Institute for Agrarian Studies
Where:
Research Departments
When:
1 year, 4 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2026/2027
Machine Learning for Economics Research
Type:
Elective course (Economics and Economic Policy)
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Open to:
students of one campus
Instructors:
Bogdan Potanin
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2026/2027
Machine Learning for Economics Research
Type:
Elective course (Economics and Economic Policy)
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Open to:
students of one campus
Instructors:
Bogdan Potanin
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2026/2027
Machine Learning for Economics Research
Type:
Elective course (Economics and Economic Policy)
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Open to:
students of one campus
Instructors:
Bogdan Potanin
Language:
Russian
ECTS credits:
3
Contact hours:
28
2026/2027
Machine Learning for Economics Research
Type:
Mago-Lego
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
2 module
Open to:
students of one campus
Instructors:
Bogdan Potanin
Language:
Russian
ECTS credits:
3
Contact hours:
28