Courses
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:
28
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
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
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
Instructors:
Natalia Sizykh
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
Bachelor
2026/2027
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
Bachelor
2026/2027
Mathematical Logic and Set Theory
Type:
Elective course (Applied Mathematics and Information Science)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 2-4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
164
Specialist
2026/2027
Mathematical Logic and Theory of Alghorithms
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
2026/2027
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
Master
2026/2027
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
Instructors:
Lev Shchur
Language:
Russian
ECTS credits:
9
Contact hours:
50
Master
2026/2027
Mathematical Methods and Tools for Quantitative Analysis (Mentor Seminar)
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Delivered by:
School of Applied Mathematics
When:
1 year, 2-4 module
Open to:
students of one campus
Instructors:
Dmitry Sizykh
Language:
Russian
ECTS credits:
5
Contact hours:
58
Bachelor
2026/2027
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:
Азин Юрий Александрович,
Петров Андрей Иванович,
Бураков Даниил Игоревич,
Калашников Александр Юрьевич,
Горбунов Иван Игоревич,
Азин Юрий Александрович,
Петров Андрей Иванович,
Elena Kantonistova,
Maria Tikhonova,
Насыхова Анастасия Артемовна,
Степашин Егор Александрович,
Насыхова Анастасия Артемовна
Language:
English
ECTS credits:
5
Contact hours:
56
Bachelor
2026/2027
Mathematical Methods for Distributed Ledger Systems
Type:
Elective course (Software Engineering)
Delivered by:
School of Software Engineering
Where:
Faculty of Computer Science
When:
4 year, 1-3 module
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
10
Contact hours:
60
Bachelor
2026/2027
Mathematical methods of physics
Type:
Elective course (Digital Technologies and Telecommunications)
Delivered by:
School of Electronic Engineering
When:
3 year, 1, 2 module
Open to:
students of one campus
Instructors:
Renat Ikhsanov
Language:
Russian
ECTS credits:
5
Contact hours:
48
Master
2026/2027
Mathematical Methods of Risk Management
Type:
Elective course (Financial Markets and Institutions)
Delivered by:
School of Finance
Where:
Faculty of Economic Sciences
When:
2 year, 1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56