Courses
Bachelor
2025/2026
Mathematical Analysis with the Basics of Differential Equations
Category 'Best Course for New Knowledge and Skills'
Type:
Compulsory course (Cognitive Neurobiology)
When:
1 year, 1-4 module
Open to:
students of one campus
Instructors:
Ashot Nersisyan
Language:
Russian
ECTS credits:
7
Contact hours:
140
Master
2025/2026
Mathematical Aspects of EEG and MEG Based Neuroimaging
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Elective course (Cognitive Sciences and Technologies: From Neuron to Cognition)
Delivered by:
Institute for Cognitive Neuroscience
When:
1 year, 3 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
56
2025/2026
Mathematical Aspects of EEG and MEG Based Neuroimaging
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Mago-Lego
Delivered by:
Institute for Cognitive Neuroscience
When:
3 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
56
2025/2026
Mathematical Foundations of Computer Science
Type:
Optional course
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1, 2 semester
Open to:
students of one campus
Instructors:
Nikita Manuylenko
Language:
Russian
ECTS credits:
4
Contact hours:
120
2025/2026
Mathematical Foundations of Machine Learning
Type:
Mago-Lego
Delivered by:
School of Electronic Engineering
When:
3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
20
Master
2025/2026
Mathematical Foundations of Machine Learning
Type:
Compulsory course (Artificial Intelligence Technologies in Telecommunications)
Delivered by:
School of Electronic Engineering
When:
1 year, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
20
Bachelor
2025/2026
Mathematical Foundations of Neural Network Models
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Joint Department with the Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences (INM RAS)
Where:
Faculty of Computer Science
When:
4 year, 3 module
Open to:
students of one campus
Instructors:
Валиахметов Булат Ильдарович
Language:
Russian
ECTS credits:
4
Contact hours:
40
2025/2026
Mathematical Foundations of Neural Network Models
Type:
Optional course (faculty)
Delivered by:
Joint Department with the Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences (INM RAS)
Where:
Faculty of Computer Science
When:
3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
40
Bachelor
2025/2026
Mathematical Foundations of Neural Network Models (Advanced Course)
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Joint Department with the Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences (INM RAS)
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
2025/2026
Mathematical Foundations of Quantitative Analysis and Financial Technologies
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type:
Optional course (faculty)
Delivered by:
School of Applied Mathematics
When:
3 module
Open to:
students of all HSE University campuses
Instructors:
Dmitry Sizykh
Language:
Russian
ECTS credits:
3
Contact hours:
80
2025/2026
Mathematical Foundations of Quantum Mechanics
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Optional course (faculty)
Delivered by:
Faculty of Mathematics
Where:
Faculty of Mathematics
When:
1, 2 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
60
2025/2026
Mathematical Foundations of Reinforcement learning
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
28
Master
2025/2026
Mathematical Foundations of Reinforcement learning
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Elective course (Math of Machine Learning)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 2 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
28
Bachelor
2025/2026
Mathematical Logic
Type:
Compulsory course
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
48
Specialist
2025/2026
Mathematical Logic and Theory of Alghorithms
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Compulsory course (Cyber Security)
Delivered by:
School of Applied Mathematics
When:
2 year, 3, 4 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
3
Contact hours:
64
Bachelor
2025/2026
Mathematical Logic through Python
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
2 year, 3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
2025/2026
Mathematical Logic through Python
Type:
Optional course (faculty)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2025/2026
Mathematical methods and computer technology (mentor seminar)
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Delivered by:
School of Applied Mathematics
When:
2 year, 1-3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
9
Master
2025/2026
Mathematical methods and computer technology (mentor seminar)
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Delivered by:
School of Applied Mathematics
When:
1 year, 1-4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
10
Contact hours:
72
Bachelor
2025/2026
Mathematical Methods for Data Analysis
Type:
Compulsory course (Software Engineering)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 1, 2 module
Online hours:
10
Open to:
students of one campus
Instructors:
Горбунов Иван Игоревич,
Сулеев Дамир Ранилевич,
Калашников Александр Юрьевич,
Горбунов Иван Игоревич,
Kirill Bykov,
Mikhail Lazarev,
Polina Polunina,
Maria Tikhonova,
Бураков Даниил Игоревич
Language:
English
ECTS credits:
5
Contact hours:
56