Courses
Specialist
2024/2025
Machine Learning
Type:
Compulsory course (Cyber Security)
Delivered by:
Department of Computer Security
When:
3 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Contact hours:
60
Bachelor
2024/2025
Machine Learning
Type:
Elective course (Software Engineering)
Area of studies:
Software Engineering
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
60
Master
2024/2025
Machine Learning
Type:
Elective course (Data Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
1 year, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Sergey I. Nikolenko
Language:
Russian
ECTS credits:
12
Contact hours:
120
Bachelor
2024/2025
Machine Learning
Type:
Elective course (Economics and Statistics)
Area of studies:
Economics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Economic Sciences
When:
4 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
50
Open to:
students of one campus
Instructors:
Alexey Boldyrev
Language:
Russian
ECTS credits:
6
Contact hours:
42
Bachelor
2024/2025
Machine Learning
Type:
Elective course (Economics)
Area of studies:
Economics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Economic Sciences
When:
4 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
50
Open to:
students of one campus
Instructors:
Alexey Boldyrev
Language:
Russian
ECTS credits:
6
Contact hours:
42
Bachelor
2024/2025
Machine Learning
Type:
Elective course (Economics)
Area of studies:
Economics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Economic Sciences
When:
3 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
50
Open to:
students of one campus
Instructors:
Alexey Boldyrev
Language:
Russian
ECTS credits:
6
Contact hours:
42
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