Courses
Bachelor
2026/2027
Bayesian Approach in Econometrics
Type:
Elective course (Economics)
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
4 year, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
Bachelor
2026/2027
Bayesian Approach in Econometrics
Type:
Elective course (Economics)
Delivered by:
Department of Applied Economics
Where:
Faculty of Economic Sciences
When:
3 year, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2026/2027
Bayesian Data Analysis
Type:
Elective course (Data Analytics and Social Statistics)
Delivered by:
International Laboratory for Applied Network Research
Where:
Faculty of Social Sciences
When:
2 year, 3 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
40
Master
2026/2027
Bayesian Data Analysis
Type:
Elective course (Data Analytics and Social Statistics)
Delivered by:
International Laboratory for Applied Network Research
Where:
Faculty of Social Sciences
When:
2 year, 3 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
40
2026/2027
Bayesian Data Analysis
Type:
Mago-Lego
Delivered by:
International Laboratory for Applied Network Research
Where:
Faculty of Social Sciences
When:
3 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
40
Master
2026/2027
Bayesian Methods for Data Analysis
Type:
Compulsory course (Financial Technologies and Data Analysis)
Delivered by:
Joint Department with Sber
Where:
Faculty of Computer Science
When:
2 year, 1 module
Open to:
students of one campus
Instructors:
Alexander Oganov
Language:
English
ECTS credits:
3
Contact hours:
28
2026/2027
Bayesian Methods for Data Analysis
Type:
Mago-Lego
Delivered by:
Joint Department with Sber
Where:
Faculty of Computer Science
When:
1 module
Open to:
students of one campus
Instructors:
Alexander Oganov
Language:
English
ECTS credits:
3
Contact hours:
28
Master
2026/2027
Bayesian Methods for Machine Learning
Type:
Elective course (Modern Computer Science)
Delivered by:
Joint Department with Yandex
Where:
Faculty of Computer Science
When:
2 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Bachelor
2026/2027
Bayesian Methods for Machine Learning
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
4 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Contact hours:
56
Bachelor
2026/2027
Bayesian Methods for Machine Learning
Type:
Elective course (Economics and Data Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
4 year, 1, 2 module
Open to:
students of one campus
Instructors:
Dmitry Vetrov
Language:
Russian
ECTS credits:
5
Contact hours:
56
2026/2027
Bayesian Methods for Machine Learning
Type:
Mago-Lego
Delivered by:
Joint Department with Yandex
Where:
Faculty of Computer Science
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2026/2027
Bayesian Statistics
Type:
Compulsory course (Applied Politics)
Delivered by:
School of Politics and Governance
Where:
Faculty of Social Sciences
When:
2 year, 1, 2 module
Open to:
students of one campus
Instructors:
Vadim Belenkov
Language:
Russian
ECTS credits:
6
Contact hours:
44
2026/2027
Bayesian Statistics
Type:
Mago-Lego
Delivered by:
School of Politics and Governance
Where:
Faculty of Social Sciences
Open to:
students of one campus
Instructors:
Vadim Belenkov
Language:
Russian
ECTS credits:
6
Contact hours:
44
2026/2027
Becoming an Educational Developer: Supporting Faculty in Higher Education
Type:
Optional course (university)
Delivered by:
Department of Educational Programmes
Where:
Institute of Education
When:
2 module
Open to:
everyone
Language:
Russian
ECTS credits:
4
Contact hours:
16
2026/2027
Beginning of Functional Analysis and Optimization
Type:
Minor
Delivered by:
Department of Mathematics
Where:
Faculty of Economic Sciences
Open to:
students of all HSE University campuses
Instructors:
Vladimir A. Gordin
Language:
Russian
ECTS credits:
5
Contact hours:
80
Bachelor
2026/2027
Behavioral and cognitive neuroscience
Type:
Compulsory course (Psychology)
Delivered by:
School of Psychology
Where:
Faculty of Social Sciences
When:
3 year, 1, 2 module
Open to:
students of one campus
Instructors:
Ivan E. Lazarev
Language:
Russian
ECTS credits:
3
Contact hours:
44
Bachelor
2026/2027
Behavioral and cognitive neuroscience
Type:
Elective course (Computational Social Sciences)
Delivered by:
School of Psychology
Where:
Faculty of Social Sciences
When:
4 year, 1, 2 module
Open to:
students of one campus
Instructors:
Ivan E. Lazarev
Language:
Russian
ECTS credits:
3
Contact hours:
44
Bachelor
2026/2027
Behavioral and cognitive neuroscience
Type:
Elective course (Computational Social Sciences)
Delivered by:
School of Psychology
Where:
Faculty of Social Sciences
When:
4 year, 1, 2 module
Open to:
students of one campus
Instructors:
Ivan E. Lazarev
Language:
Russian
ECTS credits:
3
Contact hours:
44
Bachelor
2026/2027
Behavioral and Experimental Economics
Type:
Elective course (HSE/NES Programme in Economics)
Delivered by:
Undergraduate Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
4 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
64
Bachelor
2026/2027
Behavioral and Experimental Economics
Type:
Elective course (HSE/NES Programme in Economics)
Delivered by:
Undergraduate Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
3 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
64