Courses
2023/2024
Between Tradition and Transformation: Jews in Russian Empire and the USSR, 1881-1941.
Type:
Optional course (faculty)
Delivered by:
School of History
When:
1 module
Open to:
students of all HSE University campuses
Instructors:
Yanina Karpenkina
Language:
Russian
ECTS credits:
3
Contact hours:
22
2023/2024
Biblical Subjects in Art
Type:
Optional course (faculty)
Delivered by:
School of History
When:
3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
36
2023/2024
Biblical Subjects in Art -2
Type:
Optional course (faculty)
Delivered by:
School of History
When:
4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
36
Postgraduate course
2023/2024
Bibliometric Literature Review
Type:
Compulsory course
Area of studies:
Postgraduate Studies
Delivered by:
Department of Strategic and International Management
When:
1 year, 1 semester
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Amitabh Anand
Language:
English
ECTS credits:
2
Contact hours:
24
Bachelor
2023/2024
Big Brother: Understanding Сonspiracy Theories
Type:
Elective course (Media Communications)
Area of studies:
Media Communications
Delivered by:
Institute of Media
When:
4 year, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Стахеев Илья Сергеевич
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2023/2024
Big Data Analysis in Customer Behavior Research
Type:
Elective course
Area of studies:
Sociology
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Social Sciences
When:
2 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
50
Open to:
students of one campus
Instructors:
Filipp Upravitelev
Language:
Russian
ECTS credits:
6
Contact hours:
56
2023/2024
Big Data Analysis in Customer Behavior Research
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1, 2 module
Online hours:
50
Open to:
students of one campus
Instructors:
Filipp Upravitelev
Language:
Russian
ECTS credits:
6
Contact hours:
56
Bachelor
2023/2024
Big Data Analysis in Insurance
Type:
Elective course (Economics)
Area of studies:
Economics
Delivered by:
School of Finance
Where:
Faculty of Economic Sciences
When:
4 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
Bachelor
2023/2024
Big Data Analysis in Insurance
Type:
Elective course (Economics and Statistics)
Area of studies:
Economics
Delivered by:
School of Finance
Where:
Faculty of Economic Sciences
When:
4 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
Bachelor
2023/2024
Big Data Analysis in Insurance
Type:
Elective course (HSE/NES Programme in Economics)
Area of studies:
Economics
Delivered by:
School of Finance
Where:
Faculty of Economic Sciences
When:
4 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
Bachelor
2023/2024
Big Data Analysis in Insurance
Type:
Elective course (HSE/NES Programme in Economics)
Area of studies:
Economics
Delivered by:
School of Finance
Where:
Faculty of Economic Sciences
When:
3 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2023/2024
Big Data and Machine Learning in Healthcare
Type:
Elective course (Data Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Oleg Pianykh
Language:
English
ECTS credits:
6
Contact hours:
50
Master
2023/2024
Big Data and Machine Learning in Healthcare
Type:
Elective course (Data Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Oleg Pianykh
Language:
English
ECTS credits:
6
Contact hours:
50
2023/2024
Big Data and Machine Learning in Healthcare
Type:
Mago-Lego
Delivered by:
School of Data Analysis and Artificial Intelligence
When:
1, 2 module
Open to:
students of one campus
Instructors:
Oleg Pianykh
Language:
English
ECTS credits:
6
Contact hours:
50
Postgraduate course
2023/2024
Big data and machine learning methods in educational research
Type:
Elective course
Area of studies:
Postgraduate Studies
Delivered by:
Institute of Education
When:
2 year, 1 semester
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Kseniya Adamovich
Language:
Russian
ECTS credits:
2
Contact hours:
20
2023/2024
Big Data and Machine Learning With Applications to Economics and Finance
Type:
Mago-Lego
Delivered by:
International College of Economics and Finance
When:
1, 2 module
Online hours:
10
Open to:
students of one campus
Instructors:
Fabian Slonimczyk
Language:
English
ECTS credits:
6
Contact hours:
70
Master
2023/2024
Big Data and Machine Learning With Applications to Economics and Finance
Type:
Elective course (Financial Economics)
Area of studies:
Economics
Delivered by:
International College of Economics and Finance
When:
2 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
10
Open to:
students of one campus
Instructors:
Fabian Slonimczyk
Language:
English
ECTS credits:
6
Contact hours:
70
Master
2023/2024
Big Data Based Marketing Analytics
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:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
48
2023/2024
Big Data Based Marketing Analytics
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
When:
1, 2 module
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
48