Courses
2026/2027
Data Analysis Tools
Type:
Mago-Lego
Delivered by:
School of Applied Mathematics
Open to:
students of one campus
Instructors:
Ian Pilé
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2026/2027
Data Analysis Tools and Software
Type:
Compulsory course (Statistical Analysis in Economics)
Delivered by:
Department of Statistics and Data Analysis
Where:
Faculty of Economic Sciences
When:
1 year, 2, 3 module
Open to:
students of one campus
Instructors:
Кузин Сергей Сергеевич
Language:
Russian
ECTS credits:
6
Contact hours:
60
2026/2027
Data Analysis Tools and Software
Type:
Mago-Lego
Delivered by:
Department of Statistics and Data Analysis
Where:
Faculty of Economic Sciences
Open to:
students of one campus
Instructors:
Кузин Сергей Сергеевич
Language:
Russian
ECTS credits:
6
Contact hours:
60
Bachelor
2026/2027
Data Analysis Using SQL
Type:
Compulsory course (Marketing and Market Analytics)
Delivered by:
Department of Marketing
When:
4 year, 3 module
Open to:
students of all HSE University campuses
Instructors:
Kliment Gorchakov
Language:
Russian
ECTS credits:
3
Contact hours:
30
Bachelor
2026/2027
Data Analytics
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2026/2027
Data Analytics and BI-systems at Big Tech
Type:
Elective course (Strategic Corporate Finance)
Delivered by:
School of Finance
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
28
Master
2026/2027
Data Analytics and BI-systems at Big Tech
Type:
Elective course (Strategic Corporate Finance)
Delivered by:
School of Finance
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
28
Master
2026/2027
Data Analytics and BI-systems at Big Tech
Type:
Elective course (Strategic Corporate Finance)
Delivered by:
School of Finance
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
28
2026/2027
Data Analytics and BI-systems at Big Tech
Type:
Mago-Lego
Delivered by:
School of Finance
Where:
Faculty of Economic Sciences
When:
2 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
28
Master
2026/2027
Data Analytics and BI-systems at Big Tech
Type:
Elective course (Strategic Corporate Finance)
Delivered by:
School of Finance
Where:
Faculty of Economic Sciences
When:
1 year, 2 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
28
Master
2026/2027
Data Analytics and BI-systems at Big Tech
Type:
Elective course (Strategic Corporate Finance)
Delivered by:
School of Finance
Where:
Faculty of Economic Sciences
When:
1 year, 2 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
28
Master
2026/2027
Data Analytics and BI-systems at Big Tech
Type:
Elective course (Strategic Corporate Finance)
Delivered by:
School of Finance
Where:
Faculty of Economic Sciences
When:
1 year, 2 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
28
Master
2026/2027
Data Analytics and Mining
Type:
Compulsory course (Population and Development)
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
2 year, 1, 2 module
Open to:
students of one campus
Instructors:
Fedor Shlyahov
Language:
English
ECTS credits:
6
Contact hours:
48
2026/2027
Data Analytics and Mining
Type:
Mago-Lego
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
Open to:
students of one campus
Instructors:
Fedor Shlyahov
Language:
Russian
ECTS credits:
6
Contact hours:
48
Master
2026/2027
Data Analytics and Mining
Type:
Elective course (Master of Business Analytics)
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
2 year, 3 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
20
Master
2026/2027
Data Analytics and Mining
Type:
Elective course (Master of Business Analytics)
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
2 year, 3 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
20
2026/2027
Data Analytics and Mining
Type:
Mago-Lego
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
20
Bachelor
2026/2027
Data Analytics, Artificial Intelligence and Generative Models
Type:
Compulsory course (Cultural Studies)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 2, 3 module
Online hours:
50
Open to:
students of one campus
Instructors:
Daria Kasyanenko
Language:
Russian
ECTS credits:
3
Contact hours:
36
Bachelor
2026/2027
Data Analytics, Artificial Intelligence and Generative Models
Type:
Compulsory course (Advertising and Public Relations)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 2, 3 module
Online hours:
50
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
22
Bachelor
2026/2027
Data Analytics, Artificial Intelligence and Generative Models
Type:
Compulsory course (Strategy and Production in Communications)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 1, 2 module
Online hours:
50
Open to:
students of one campus
Instructors:
Mariya Rashitovna Korshunova
Language:
Russian
ECTS credits:
3
Contact hours:
22