Courses
2025/2026
Mathematics for Data Analysis
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2-4 module
Open to:
students of one campus
Instructors:
Evgeny Patochenko
Language:
Russian
ECTS credits:
9
Contact hours:
108
Master
2025/2026
Mathematics for Data Analysis
Type:
Compulsory course (Big Data Analytics)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1-4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
12
Contact hours:
116
Master
2025/2026
Mathematics for Data Analysis
Type:
Compulsory course (Artificial Intelligence in Marketing and Product Management)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 2-4 module
Open to:
students of one campus
Instructors:
Evgeny Patochenko
Language:
Russian
ECTS credits:
9
Contact hours:
108
Master
2025/2026
Mathematics for Data Analysis
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type:
Compulsory course (Artificial Intelligence)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Online hours:
26
Open to:
students of one campus
Instructors:
Filipp Ulyankin
Language:
Russian
ECTS credits:
6
Contact hours:
26
2025/2026
Mathematics for Data Analysis
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
Instructors:
Petr A. Panov
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2025/2026
Mathematics for Data Analysis
Type:
Compulsory course (Artificial Intelligence and Product-Based Approach in HR Management)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Open to:
students of one campus
Instructors:
Petr A. Panov
Language:
Russian
ECTS credits:
6
Contact hours:
56
2025/2026
Mathematics for Data Analysis
Category 'Best Course for Career Development'
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
Bachelor
2025/2026
Mathematics for Data Analysis
Type:
Compulsory course
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
2 year, 2 semester
Open to:
students of one campus
Language:
Russian
ECTS credits:
7
Contact hours:
59
Master
2025/2026
Mathematics for Data Analysis
Category 'Best Course for Career Development'
Type:
Compulsory course (Financial Technology)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2025/2026
Mathematics for Data Analysis
Category 'Best Course for Career Development'
Type:
Compulsory course (Financial Technology)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2025/2026
Mathematics for Data Analysis
Category 'Best Course for Career Development'
Type:
Compulsory course (Financial Technology)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2025/2026
Mathematics for Data Analysis
Category 'Best Course for Career Development'
Type:
Compulsory course (Financial Technology)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2025/2026
Mathematics for Data Analysis
Category 'Best Course for Career Development'
Type:
Compulsory course (Financial Technology)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2025/2026
Mathematics for Data Analysis
Category 'Best Course for Career Development'
Type:
Compulsory course (Financial Technology)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2025/2026
Mathematics for Data Analysis
Category 'Best Course for Career Development'
Type:
Compulsory course (Financial Technology)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2025/2026
Mathematics for Data Analysis
Category 'Best Course for Career Development'
Type:
Compulsory course (Financial Technology)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
2025/2026
Mathematics for data analysis (adaptation course)
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
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
Language:
Russian
ECTS credits:
3
Contact hours:
28
2025/2026
Mathematics for Data Analysis (Linear Algebra)
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
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:
Матвеева Анна Владимировна
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2025/2026
Mathematics for Data Analysis (Linear Algebra)
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type:
Elective course (Data Analysis in Development)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1 module
Open to:
students of one campus
Instructors:
Матвеева Анна Владимировна
Language:
Russian
ECTS credits:
3
Contact hours:
28
2025/2026
Mathematics for Data Analysis (Mathematical Statistics)
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 module
Open to:
students of one campus
Instructors:
Ian Pilé
Language:
Russian
ECTS credits:
3
Contact hours:
28