Courses
2024/2025
Building distributed systems and cloud computing
Type:
Mago-Lego
Delivered by:
School of Electronic Engineering
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
70
Bachelor
2024/2025
Building Scoring Models Using Machine Learning Methods
Type:
Elective course (Software Engineering)
Area of studies:
Software Engineering
Delivered by:
School of Software Engineering
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
5
Contact hours:
60
2024/2025
Building Scoring Models Using Machine Learning Methods
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
When:
2, 3 module
Open to:
students of one campus
Instructors:
Ilya Munerman
Language:
English
ECTS credits:
6
Contact hours:
48
Master
2024/2025
Building Scoring Models Using Machine Learning Methods
Type:
Elective course (Business Analytics and Big Data Systems)
Area of studies:
Business Informatics
Delivered by:
Department of Business Informatics
Where:
Graduate School of Business
When:
1 year, 2, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Ilya Munerman
Language:
English
ECTS credits:
6
Contact hours:
48
Master
2024/2025
Building the Enterprise's IT Infrastructure
Type:
Compulsory course (Business Informatics)
Area of studies:
Business Informatics
Delivered by:
Department of Information Systems and Technologies
When:
1 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
32
2024/2025
Building the Enterprise's IT Infrastructure
Type:
Mago-Lego
Delivered by:
Department of Information Systems and Technologies
When:
2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
32
Bachelor
2024/2025
Business Analysis
Type:
Elective course
Area of studies:
Economics
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
4 year, 1 semester
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
60
Bachelor
2024/2025
Business Analysis in Supply Chains
Type:
Compulsory course (Supply Chain Management and Business Analytics)
Area of studies:
Management
Delivered by:
Department of Operations Management and Logistics
Where:
Graduate School of Business
When:
4 year, 1 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Aleksandr Demin
Language:
Russian
ECTS credits:
4
Contact hours:
40
2024/2025
Business Analytics & AI as a Tool for Effective Management
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
When:
3 module
Open to:
students of one campus
Instructors:
Veronica Pisarenko
Language:
Russian
ECTS credits:
3
Contact hours:
24
2024/2025
Business Analytics & AI as a Tool for Effective Management
Language:
English
ECTS credits:
3
Contact hours:
24
2024/2025
Business Analytics & AI as a Tool for Effective Management
Language:
Russian
ECTS credits:
3
Contact hours:
24
2024/2025
Business Analytics & AI as a Tool for Effective Management
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
3
Contact hours:
24
Master
2024/2025
Business Analytics & AI as a Tool for Effective Management
Type:
Compulsory course (Master in International Management)
Area of studies:
Management
Delivered by:
Department of Business Informatics
Where:
Graduate School of Business
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
24
Master
2024/2025
Business Analytics & AI as a Tool for Effective Management
Type:
Compulsory course (Marketing Management)
Area of studies:
Management
Delivered by:
Department of Business Informatics
Where:
Graduate School of Business
When:
1 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Veronica Pisarenko
Language:
Russian
ECTS credits:
3
Contact hours:
24
Master
2024/2025
Business Analytics & AI as a Tool for Effective Management
Type:
Compulsory course (Operational Excellence and Production Systems )
Area of studies:
Management
Delivered by:
Department of Business Informatics
Where:
Graduate School of Business
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
24
Master
2024/2025
Business Analytics & AI as a Tool for Effective Management
Type:
Compulsory course (Strategic Management: Investment and Consulting)
Area of studies:
Management
Delivered by:
Department of Business Informatics
Where:
Graduate School of Business
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
24
Master
2024/2025
Business Analytics & AI as a Tool for Effective Management
Type:
Compulsory course (Strategic Management: Investment and Consulting)
Area of studies:
Management
Delivered by:
Department of Business Informatics
Where:
Graduate School of Business
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
24
2024/2025
Business Analytics and AI in Applied Retail Tasks
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
When:
4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
24
Master
2024/2025
Business Analytics and AI in Applied Retail Tasks
Type:
Compulsory course (Retail Management)
Area of studies:
Management
Delivered by:
Department of Business Informatics
Where:
Graduate School of Business
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
24
Bachelor
2024/2025
Business analytics, applied modelling and prediction
Type:
Compulsory course (Data Science and Business Analytics)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
56