Courses
Master
2025/2026
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
2025/2026
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
Master
2025/2026
Machine Learning for Economists
Type:
Elective course (Economic Analysis)
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
36
2025/2026
Machine Learning for Economists
Type:
Mago-Lego
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
36
Master
2025/2026
Machine Learning for Solving Analytics Problems
Type:
Compulsory course (Big Data Analytics)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 3 module
Open to:
students of one campus
Instructors:
Evgeny Patochenko
Language:
Russian
ECTS credits:
3
Contact hours:
40
2025/2026
Machine Learning for Solving Analytics Problems
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 module
Open to:
students of one campus
Instructors:
Evgeny Patochenko
Language:
Russian
ECTS credits:
3
Contact hours:
40
2025/2026
Machine Learning for the Stock Market
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
2025/2026
Machine Learning I
Type:
Mago-Lego
Delivered by:
Department of Educational Programmes
Where:
Institute of Education
When:
2 module
Open to:
students of one campus
Instructors:
Andrey Zakharov
Language:
English
ECTS credits:
3
Contact hours:
30
Master
2025/2026
Machine Learning I
Type:
Elective course (Science of Learning and Assessment)
Delivered by:
Department of Educational Programmes
Where:
Institute of Education
When:
2 year, 2 module
Open to:
students of one campus
Instructors:
Andrey Zakharov
Language:
English
ECTS credits:
3
Contact hours:
30
Bachelor
2025/2026
Machine learning in applied problems
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Open to:
students of one campus
Instructors:
Шаланкин Максим Дмитриевич
Language:
Russian
ECTS credits:
6
Contact hours:
80
2025/2026
Machine Learning in Bioinformatics
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1, 2 module
Online hours:
14
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
56
Master
2025/2026
Machine Learning in Bioinformatics
Type:
Elective course (Data Analysis in Biology and Medicine)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Online hours:
14
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
56
2025/2026
Machine Learning in Biomedicine
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2025/2026
Machine Learning in Business
Type:
Compulsory course (Research and Entrepreneurship in Artificial Intelligence)
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
Open to:
students of one campus
Instructors:
Шаланкин Максим Дмитриевич
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2025/2026
Machine Learning in Business
Type:
Compulsory course (Digital Communications and Product Analytics)
Delivered by:
School of Communication
When:
1 year, 3, 4 module
Online hours:
20
Open to:
students of one campus
Instructors:
Anastasiya Semenova
Language:
Russian
ECTS credits:
6
Contact hours:
60
2025/2026
Machine Learning in Business
Type:
Mago-Lego
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
Open to:
students of one campus
Instructors:
Шаланкин Максим Дмитриевич
Language:
Russian
ECTS credits:
3
Contact hours:
40
2025/2026
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
2025/2026
Machine Learning in Cybersecurity
Type:
Mago-Lego
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
When:
3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
Bachelor
2025/2026
Machine Learning in Economics
Type:
Compulsory course (Economics)
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
3 year, 4 module
Open to:
students of one campus
Instructors:
Sofia Dolgikh,
Anastasia Gergenreter,
Polina Pogorelova,
Bogdan Potanin,
Daria Zinchenko
Language:
Russian
ECTS credits:
3
Bachelor
2025/2026
Machine Learning in Economics
Type:
Compulsory course (Economics and Statistics)
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
3 year, 4 module
Open to:
students of one campus
Instructors:
Sofia Dolgikh,
Anastasia Gergenreter,
Polina Pogorelova,
Bogdan Potanin,
Daria Zinchenko
Language:
Russian
ECTS credits:
3