Courses
Master
2026/2027
Materials and Instruments for Nano- and Optoelectronics
Type:
Compulsory course (Applied Electronics and Photonics)
Delivered by:
School of Electronic Engineering
When:
1 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
48
2026/2027
Materials and Instruments for Nano- and Optoelectronics
Language:
Russian
ECTS credits:
6
Contact hours:
48
Bachelor
2026/2027
Materials Design and Adaptation in Foreign Language Teaching
Type:
Compulsory course (Foreign Languages and Intercultural Communication)
Delivered by:
School of Foreign Languages
Where:
Faculty of Humanities
When:
3 year, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
2026/2027
Materials for the Alternative Energy Sources
Type:
Optional course (faculty)
Delivered by:
Joint Department of Inorganic Chemistry and Material Science with the RAS Kurnakov Institute of General and Inorganic Chemistry
Where:
Faculty of Chemistry
When:
3 module
Open to:
students of one campus
Instructors:
Tatiana Kulova
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2026/2027
Mathematical Analysis and Statistics
Type:
Compulsory course (Legal Tech)
Delivered by:
School of Digital Law and Bio-Law
Where:
Faculty of Law
When:
1 year, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
32
2026/2027
Mathematical Analysis and Statistics
Type:
Mago-Lego
Delivered by:
School of Digital Law and Bio-Law
Where:
Faculty of Law
Open to:
students of one campus
Instructors:
Oksana Soldatkina
Language:
Russian
ECTS credits:
3
Contact hours:
32
Bachelor
2026/2027
Mathematical Analysis with the Basics of Differential Equations
Type:
Compulsory course (Cell and Molecular Biotechnology)
When:
1 year, 1-4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
7
Contact hours:
140
Bachelor
2026/2027
Mathematical Analysis with the Basics of Differential Equations
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
2026/2027
Mathematical Aspects of EEG and MEG Based Neuroimaging
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
2026/2027
Mathematical Aspects of EEG and MEG Based Neuroimaging
Type:
Mago-Lego
Delivered by:
Institute for Cognitive Neuroscience
Open to:
students of one campus
Instructors:
Белокопытов Антон Сергеевич
Language:
Russian
ECTS credits:
3
Contact hours:
56
2026/2027
Mathematical Foundations and Applications of Neural Networks
Type:
Optional course (faculty)
Delivered by:
Faculty of Mathematics
Where:
Faculty of Mathematics
When:
2 module
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
3
Contact hours:
16
Master
2026/2027
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
2026/2027
Mathematical Foundations of Machine Learning
Language:
Russian
ECTS credits:
3
Contact hours:
20
Bachelor
2026/2027
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
Language:
Russian
ECTS credits:
4
Contact hours:
40
Bachelor
2026/2027
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
Bachelor
2026/2027
Mathematical Foundations of Quantitative Analysis and Financial Technologies
Type:
Elective course (Applied Mathematics)
Delivered by:
School of Applied Mathematics
When:
3 year, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
80
Master
2026/2027
Mathematical Foundations of Quantitative Analysis (Project 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:
6
Contact hours:
112
2026/2027
Mathematical Foundations of Quantum Mechanics
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
Master
2026/2027
Mathematical Foundations of Reinforcement learning
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
2026/2027
Mathematical Foundations of Reinforcement learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28