Konstantin Polyakov
- Senior Research Fellow: Faculty of Economic Sciences / Institute for Industrial and Market Studies / Laboratory of Competition and Antimonopoly Policy
- Associate Professor: Faculty of Economic Sciences / Department of Applied Economics
- Senior Research Fellow: Faculty of Economic Sciences / Laboratory of Financial Innovation and Risk Management
- Associate Professor: HSE Tikhonov Moscow Institute of Electronics and Mathematics / School of Computer Engineering
- Konstantin Polyakov has been at HSE University since 2012.
Education, Degrees and Academic Titles
Moscow State Institute of Electronics and Mathematics
Moscow Institute of Electronic Engineering, Applied Mathematics
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Responsibilities
- Conducting all types of training sessions, managing course and diploma projects and research work.
- Organization, execution and control of scientific research work provided for the division in the thematic plan and the contractual projects being carried out, and determination of prospects for their development, selection of methods and tools for conducting research and development, scientific tasks assigned to the division.
Courses (2026/2027)
- Data Analysis and Al Methods (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology; 1 year, 1 module)Rus
- Data Analysis and Al Methods (Mago-Lego; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM); 1 module)Rus
- Econometrics (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 1-3 module)Rus
- Introduction to Python (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 1 module)Eng
- Introduction to Python (Mago-Lego; Faculty of Economic Sciences)Rus
- Statistical Data Analysis (Bachelor’s programme; Faculty of Urban and Regional Development field of study Urban Planning; 3 year, 1, 2 module)Rus
- Past Courses
Courses (2025/2026)
- Data Analysis and Al Methods (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology; 1 year, 1 module)Rus
- Data Analysis and Al Methods (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology; 1 year, 1 module)Rus
- Data Analysis and Al Methods (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology; 1 year, 1 module)Rus
- Data Analysis and Al Methods (Mago-Lego; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM); 1 module)Rus
- Econometrics (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 1-3 module)Rus
- Introduction to Python (Mago-Lego; Faculty of Economic Sciences; 1 module)Eng
- Introduction to Python (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 1 module)Eng
- Project Seminar "Python in Data Science" (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology; 1 year, 3, 4 module)Rus
- Project Seminar "Python in Data Science" (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology; 1 year, 3, 4 module)Rus
- Statistical Data Analysis (Bachelor’s programme; Faculty of Urban and Regional Development field of study Urban Planning; 3 year, 1, 2 module)Rus
Courses (2024/2025)
- Data Analysis and Al Methods (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology; 1 year, 1 module)Rus
- Data Analysis and Al Methods (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology; 1 year, 1 module)Rus
- Data Analysis and Al Methods (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology; 1 year, 1 module)Rus
- Data Analysis and Al Methods (Mago-Lego; 1 module)Rus
- Data Analysis and Machine Learning (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Applied Mathematics; 3 year, 2, 3 module)Rus
- Econometrics (Bachelor’s programme; Faculty of World Economy and International Affairs field of study Economics; 3 year, 1-3 module)Rus
- Introduction to Python (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 1 module)Eng
- Introduction to Python (Mago-Lego; 1 module)Eng
- Project Seminar "Python in Data Science" (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology; 1 year, 3, 4 module)Rus
- Statistical Data Analysis (Bachelor’s programme; Faculty of Urban and Regional Development field of study Urban Planning; 3 year, 1-3 module)Rus
Courses (2023/2024)
- Analysis of Quantitative Data in Social Sciences (Bachelor’s programme; Faculty of Urban and Regional Development field of study Urban Planning; 3 year, 1, 2 module)Rus
- Econometrics (Bachelor’s programme; Faculty of World Economy and International Affairs field of study Economics; 3 year, 1-3 module)Rus
- Introduction to Data Analysis (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology, field of study Information Science and Computation Technology, field of study Information Science and Computation Technology; 1 year, 1 module)Rus
- Introduction to Data Analysis (Mago-Lego; 1 module)Rus
- Introduction to Python (Mago-Lego; 1 module)Eng
- Introduction to Python (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 1 module)Eng
- Methods of Analysis of Stochastic Interrelations (Optional course (faculty); HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM); 4 module)Rus
- Methods of Analysis of Stochastic Interrelations (Optional course (faculty); HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM); 2 module)Rus
- Project Seminar "Python in Data Science" (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology; 1 year, 3, 4 module)Rus
- Statistical Analisys in Python (Optional course (faculty); HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM); 3 module)Rus
Courses (2022/2023)
- Analysis of Quantitative Data in Social Sciences (Bachelor’s programme; Faculty of Urban and Regional Development field of study Urban Planning; 3 year, 1, 2 module)Rus
- Data Analysis in Python (Mago-Lego; 1, 2 module)Eng
- Data Analysis in Python (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics, field of study Economics, field of study Economics; 1 year, 1, 2 module)Eng
- Econometrics (Bachelor’s programme; Faculty of World Economy and International Affairs field of study Economics; 3 year, 1-3 module)Rus
- Introduction to Data Analysis (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology, field of study Information Science and Computation Technology, field of study Information Science and Computation Technology; 1 year, 1 module)Rus
- Introduction to Data Analysis (Mago-Lego; 1 module)Rus
- Methods and Tools for Big Data Processing (Postgraduate course field of study Control Systems; 2 year, 1 semester)Rus
- Methods and Tools for Big Data Processing (Postgraduate course; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Security; 2 year, 1 semester)Rus
- Methods of Analysis of Stochastic Interrelations (Optional course (faculty); 1, 2 module)Rus
- Project Seminar "Python in Data Science" (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology; 1 year, 3, 4 module)Rus
- Statistical Analisys in Python (Optional course (faculty); 3 module)Rus
Courses (2021/2022)
- Analysis of Quantitative Data in Social Sciences (Bachelor’s programme; Faculty of Urban and Regional Development field of study Urban Planning; 3 year, 3, 4 module)Rus
- Econometrics (Bachelor’s programme; Faculty of World Economy and International Affairs field of study Economics; 3 year, 1-3 module)Rus
- Introduction to Data Analysis (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology; 1 year, 1, 2 module)Rus
- Methods and Tools for Big Data Processing (Postgraduate course; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Control Systems, field of study Information Security; 2 year, 1 semester)Rus
- Methods, Models, Technologies and Technological Platforms for Trainable Expert Systems Development Based on Various Data Types (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology; 1 year, 3, 4 module)Rus
- Project Seminar "Python in Data Science" (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Information Science and Computation Technology; 1 year, 3, 4 module)Rus
Conferences
- 2025
The International Conference on Information Technology and Quantitative Management (ITQM) (Piscataway). Presentation: Should more sustainable companies be more efficient?
12th International GSOM Economy&Management conference 2024 (EMC 2024) (Санкт-Петербург). Presentation: STATISTICAL RELATIONSHIP OF THE OVERALL EFFICIENCY OF INDUSTRIAL COMPANIES WITH A NUMBER OF NON-FINANCIAL BUSINESS CHARACTERISTICS
- 2024
The International Conference on Information Technology and Quantitative Management (ITQM) (Бухарест). Presentation: Determinants of the quality of financial management of insurance companies
The International Conference on Information Technology and Quantitative Management (ITQM) (Бухарест). Presentation: Determinants of the quality of financial management of insurance companies
11th International GSOM Economy&Management conference 2024 (EMC 2024) (С. Петербург). Presentation: DYNAMICS OF THE EFFICIENCY OF PRODUCTION COMPANIES DURING THE SANCTIONS PERIOD IN THE SECTORAL CONTEXT