Courses
Master
2024/2025
Machine Learning
Type:
Compulsory course (Financial Technologies and Data Analysis)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Nadezhda Kalmykova
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2024/2025
Machine Learning
Type:
Compulsory course (Data Analysis in Development)
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:
offline
Open to:
students of one campus
Instructors:
Nadezhda Kalmykova
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2024/2025
Machine Learning
Type:
Compulsory course (Business Analytics)
Area of studies:
Business Informatics
Delivered by:
Department of Information Technologies in Business
Where:
Faculty of Economics
When:
1 year, 2, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
48
Master
2024/2025
Machine Learning
Type:
Elective course (Data Analytics and Social Statistics)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
International Laboratory for Applied Network Research
Where:
Faculty of Social Sciences
When:
1 year, 3 module
Mode of studies:
distance learning
Online hours:
40
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
8
Master
2024/2025
Machine Learning
Type:
Elective course (Data Analytics and Social Statistics)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
International Laboratory for Applied Network Research
Where:
Faculty of Social Sciences
When:
1 year, 3 module
Mode of studies:
distance learning
Online hours:
40
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
8
2024/2025
Machine Learning
Type:
Mago-Lego
Delivered by:
Department of Applied Mathematics and Informatics
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
2024/2025
Machine Learning
Type:
Mago-Lego
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
When:
1, 2 module
Open to:
students of one campus
Instructors:
Nadezhda Kalmykova
Language:
Russian
ECTS credits:
6
Contact hours:
56
2024/2025
Machine Learning
Type:
Mago-Lego
Delivered by:
International Laboratory for Applied Network Research
When:
3 module
Online hours:
40
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
8
2024/2025
Machine Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1, 2 module
Open to:
students of one campus
Instructors:
Nadezhda Kalmykova
Language:
Russian
ECTS credits:
6
Contact hours:
56
2024/2025
Machine Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
2024/2025
Machine Learning
Type:
Optional course (faculty)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Mathematics
When:
3, 4 module
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
64
2024/2025
Machine Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
2024/2025
Machine Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
2, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
68
Bachelor
2024/2025
Machine Learning
Type:
Compulsory course
Area of studies:
Economics
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
4 year, 2 semester
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
40
Master
2024/2025
Machine Learning
Type:
Compulsory course (Applied Artificial Intelligence Models)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
60
Master
2024/2025
Machine Learning
Type:
Compulsory course (Product-Driven Approach and Data Analytics in HR Management)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 2, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
68
Master
2024/2025
Machine Learning
Type:
Compulsory course (Artificial Intelligence in Marketing and Product Management)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
2024/2025
Machine Learning
Type:
Mago-Lego
Delivered by:
School of Applied Mathematics
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
60