Courses
Bachelor
2023/2024
Research Seminar "Current Trends in Stock Markets Development"
Type:
Elective course (World Economy)
Area of studies:
Economics
Delivered by:
School of Finance
When:
3 year, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
46
Bachelor
2023/2024
Research Seminar "Data Analysis and Artificial Intelligence"
Type:
Compulsory course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
3 year, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
72
Bachelor
2023/2024
Research Seminar "Data Analysis and Artificial Intelligence 2"
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
4 year, 1-3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Vasilii Gromov
Language:
English
ECTS credits:
5
Contact hours:
52
Bachelor
2023/2024
Research Seminar "Data analysis in complex systems"
Type:
Elective course (Data Science and Business Analytics)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
4 year, 1-3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
48
Bachelor
2023/2024
Research Seminar "Data Analysis in Finance"
Type:
Elective course (Software Engineering)
Area of studies:
Software Engineering
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
4 year, 1-3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
48
Bachelor
2023/2024
Research Seminar "Data analysis in Python"
Type:
Elective course (Software Engineering)
Area of studies:
Software Engineering
Delivered by:
School of Software Engineering
Where:
Faculty of Computer Science
When:
2 year, 1-3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Alisa Melikyan
Language:
Russian
ECTS credits:
3
Contact hours:
48
Bachelor
2023/2024
Research Seminar "Data Analysis in the Natural Sciences"
Type:
Elective 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:
4 year, 1-3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
48
Bachelor
2023/2024
Research Seminar "Data and Knowledge Management"
Type:
Elective course (Software Engineering)
Area of studies:
Software Engineering
Delivered by:
School of Software Engineering
Where:
Faculty of Computer Science
When:
3 year, 1-3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Alexander Breyman
Language:
Russian
ECTS credits:
3
Contact hours:
48
Bachelor
2023/2024
Research Seminar "Data Engineering"
Type:
Elective course (Software Engineering)
Area of studies:
Software Engineering
Delivered by:
School of Software Engineering
Where:
Faculty of Computer Science
When:
4 year, 1-3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Aleksei Piatov
Language:
Russian
ECTS credits:
3
Contact hours:
48
Master
2023/2024
Research Seminar "Data Science and Data Processing in Marketing"
Type:
Compulsory course (Marketing: Digital Technology and Marketing Communications)
Area of studies:
Management
Delivered by:
Department of Marketing
Where:
Graduate School of Business
When:
2 year, 2, 3 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
48
Master
2023/2024
Research Seminar "Data Science and Data Processing in Marketing"
Type:
Compulsory course (Marketing: Digital Technology and Marketing Communications)
Area of studies:
Management
Delivered by:
Department of Marketing
Where:
Graduate School of Business
When:
2 year, 2, 3 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
48
Bachelor
2023/2024
Research Seminar "Data Science in Financial Economics"
Type:
Elective 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, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Peter Lukianchenko
Language:
English
ECTS credits:
4
Contact hours:
64
Bachelor
2023/2024
Research Seminar "Data Science in Financial Markets"
Type:
Elective 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:
4 year, 1-3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Peter Lukianchenko
Language:
English
ECTS credits:
4
Contact hours:
48
Bachelor
2023/2024
Research Seminar "Data Science in scientific"
Type:
Elective course (Data Science and Business Analytics)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
3 year, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Vasilii Gromov
Language:
English
ECTS credits:
4
Contact hours:
64
Bachelor
2023/2024
Research Seminar "Decision Making Modern Models and Methods" (4th year)
Type:
Elective course (Business Informatics)
Area of studies:
Business Informatics
Delivered by:
Department of Mathematics
Where:
Graduate School of Business
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Contact hours:
50
Master
2023/2024
Research Seminar "Deep Learning"
Type:
Compulsory course (Master of Data Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Yury Sanochkin
Language:
English
ECTS credits:
3
Contact hours:
10
Master
2023/2024
Research Seminar "Deep Learning"
Type:
Compulsory course (Master of Data Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Yury Sanochkin
Language:
English
ECTS credits:
3
Contact hours:
10
Bachelor
2023/2024
Research Seminar: Development, Adaptation and Validation of Diagnostic Tools in Psychology
Type:
Elective course (Psychology)
Area of studies:
Psychology
Delivered by:
School of Psychology
Where:
Faculty of Social Sciences
When:
3 year, 2, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Anton Angelgardt
Language:
Russian
ECTS credits:
4
Contact hours:
34
Master
2023/2024
Research seminar "Development and implementation of corporate strategies"
Type:
Compulsory course
Area of studies:
Management
Delivered by:
Department of Strategic and International Management
Where:
Graduate School of Business
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Igor Egorov
Language:
Russian
ECTS credits:
3
Contact hours:
24
Master
2023/2024
Research seminar "Development and implementation of corporate strategies"
Type:
Compulsory course
Area of studies:
Management
Delivered by:
Department of Strategic and International Management
Where:
Graduate School of Business
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Igor Egorov
Language:
Russian
ECTS credits:
3
Contact hours:
24