Courses
Bachelor
2024/2025
Introduction to Data Platforms
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
When:
4 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
40
Bachelor
2024/2025
Introduction to Data Science
Type:
Compulsory course (International Business)
Area of studies:
Management
Delivered by:
Big Data and Information Retrieval School
Where:
Graduate School of Business
When:
3 year, 3 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
28
Bachelor
2024/2025
Introduction to Deep Learning
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 2, 3 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
10
Master
2024/2025
Introduction to 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, 1 module
Mode of studies:
distance learning
Online hours:
60
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
12
2024/2025
Introduction to Deep Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
2 module
Online hours:
60
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
12
2024/2025
Introduction to Deep Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1 module
Online hours:
60
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
12
Master
2024/2025
Introduction to Deep Learning
Type:
Compulsory course
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:
distance learning
Online hours:
60
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
12
2024/2025
Introduction to Deep Learning
Type:
Minor
Delivered by:
Big Data and Information Retrieval School
When:
1, 2 module
Online hours:
20
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
5
Contact hours:
60
Bachelor
2024/2025
Introduction to Deep Learning
Type:
Elective course (Computational Social Sciences)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
School of Politics and Governance
Where:
Faculty of Social Sciences
When:
3 year, 1 module
Mode of studies:
distance learning
Online hours:
30
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
20
2024/2025
Introduction to Deep Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2024/2025
Introduction to Deep Learning
Type:
Compulsory course (Artificial Intelligence in Marketing and Product Management)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2024/2025
Introduction to Deep Learning in NLP
Type:
Elective course (Applied Artificial Intelligence Models)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Linguistics
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
6
Contact hours:
32
Master
2024/2025
Introduction to Deep Learning in NLP
Type:
Compulsory course (Computational Linguistics)
Area of studies:
Fundamental and Applied Linguistics
Delivered by:
School of Linguistics
Where:
Faculty of Humanities
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
6
Contact hours:
32
Bachelor
2024/2025
Introduction to Differential Geometry
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
4 year, 3 module
Mode of studies:
distance learning
Online hours:
32
Open to:
students of one campus
Language:
English
ECTS credits:
5
Contact hours:
40
2024/2025
Introduction to Differential Geometry
Type:
Optional course (faculty)
Delivered by:
Faculty of Mathematics
Where:
Faculty of Mathematics
When:
1, 2 module
Open to:
students of one campus
Instructors:
Filipp Uvarov
Language:
English
ECTS credits:
6
Contact hours:
60
2024/2025
Introduction to Differential Geometry
Type:
Mago-Lego
Delivered by:
Faculty of Mathematics
When:
1, 2 module
Open to:
students of one campus
Instructors:
Filipp Uvarov
Language:
English
ECTS credits:
6
Contact hours:
60
Master
2024/2025
Introduction to Differential Geometry
Type:
Elective course (Mathematics)
Area of studies:
Mathematics
Delivered by:
Faculty of Mathematics
Where:
Faculty of Mathematics
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Filipp Uvarov
Language:
English
ECTS credits:
6
Contact hours:
60
Master
2024/2025
Introduction to Differential Geometry
Type:
Elective course (Mathematics)
Area of studies:
Mathematics
Delivered by:
Faculty of Mathematics
Where:
Faculty of Mathematics
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Filipp Uvarov
Language:
English
ECTS credits:
6
Contact hours:
60
Master
2024/2025
Introduction to Differential Geometry
Type:
Elective course (Mathematics)
Area of studies:
Mathematics
Delivered by:
Faculty of Mathematics
Where:
Faculty of Mathematics
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Filipp Uvarov
Language:
English
ECTS credits:
6
Contact hours:
60