Courses
Bachelor
2026/2027
Mathematical Statistics and Data Analysis (Project-based Course)
Type:
Elective course (Mathematics)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
30
Bachelor
2026/2027
Mathematical Statistics and Data Analysis (Project-based Course)
Type:
Elective course (Joint Bachelor's Programme with the Centre for Teaching Excellence)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
30
Bachelor
2026/2027
Mathematic Methods in Historical Research
Type:
Elective course (History)
Delivered by:
School of History
Where:
Faculty of Humanities
When:
4 year, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
36
Bachelor
2026/2027
Mathematics and Statistics
Type:
Compulsory course (International Programme 'International Relations and Global Studies')
Delivered by:
Faculty of World Economy and International Affairs
When:
1 year, 1, 2 module
Open to:
students of one campus
Instructors:
Nina Sakharova
Language:
English
ECTS credits:
3
Contact hours:
40
Bachelor
2026/2027
Mathematics for Computer Graphics
Type:
Compulsory course (Game and Digital Product Development)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Contact hours:
80
Master
2026/2027
Mathematics for Data Analysis
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
Language:
Russian
ECTS credits:
6
Contact hours:
26
Master
2026/2027
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, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2026/2027
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, 1-3 module
Open to:
students of one campus
Instructors:
Diana Mironidis
Language:
Russian
ECTS credits:
9
Contact hours:
108
Master
2026/2027
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, 2 module
Open to:
students of one campus
Instructors:
Irina Polyakova
Language:
Russian
ECTS credits:
3
Contact hours:
28
2026/2027
Mathematics for Data Analysis
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1-3 module
Open to:
students of one campus
Instructors:
Diana Mironidis
Language:
Russian
ECTS credits:
9
Contact hours:
108
2026/2027
Mathematics for Data Analysis
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1, 2 module
Online hours:
26
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
26
2026/2027
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
Language:
Russian
ECTS credits:
6
Contact hours:
56
2026/2027
Mathematics for Data Analysis
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
Open to:
students of one campus
Instructors:
Irina Polyakova
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2026/2027
Mathematics for data analysis (adaptation course)
Type:
Elective course (Big Data Analytics)
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:
Diana Mironidis
Language:
Russian
ECTS credits:
3
Contact hours:
28
2026/2027
Mathematics for data analysis (adaptation course)
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
Open to:
students of one campus
Instructors:
Diana Mironidis
Language:
Russian
ECTS credits:
3
Contact hours:
28
Bachelor
2026/2027
Mathematics for Economics and Business
Type:
Compulsory course (HSE University and Kyung Hee University Double Degree Programme in Economics and Politics in Asia)
Delivered by:
Faculty of World Economy and International Affairs
When:
1 year, 1, 2 module
Open to:
students of one campus
Instructors:
Ivan Deseatnicov
Language:
English
ECTS credits:
4
Contact hours:
60
Bachelor
2026/2027
Mathematics for Economists
Type:
Compulsory course (International Programme in Economics and Finance)
Delivered by:
International College of Economics and Finance
When:
2 year, 1, 2 semester
Open to:
students of one campus
Language:
English
ECTS credits:
10
Contact hours:
154
Bachelor
2026/2027
Mathematics for Economists
Type:
Compulsory course (International Programme in Economics and Finance)
Delivered by:
International College of Economics and Finance
When:
2 year, 1, 2 semester
Open to:
students of one campus
Language:
English
ECTS credits:
10
Contact hours:
154
Bachelor
2026/2027
Mathematics for Economists
Type:
Compulsory course (International Programme in Economics and Finance)
Delivered by:
International College of Economics and Finance
When:
2 year, 1, 2 semester
Open to:
students of one campus
Language:
English
ECTS credits:
10
Contact hours:
154
Bachelor
2026/2027
Mathematics for Economists
Type:
Compulsory course (International Programme in Economics and Finance)
Delivered by:
International College of Economics and Finance
When:
2 year, 1, 2 semester
Open to:
students of one campus
Language:
English
ECTS credits:
10
Contact hours:
154