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Бакалаврская программа «Международная программа по экономике и финансам»

Summary of Degree Programme

Field of Studies

38.03.01 Economics

Approved by
Order date: 15.08.2014 № 6.18.1-01/1508-10
HSE University Educational Standard
Last Update
25.06.2026 Minutes №4 BSc Programme Academic Council
Network Programme

Yes

Length of Studies, Mode of Studies, Credit Load

4 года

Full-time, 240 credits

Language of instruction

ENG

Instruction in English

Qualification upon graduation

Bachelor

Double-degree Programme

Yes

Use of online learning

With online tools

Tracks

2026/2027 Academic year

Mathematics and Economics

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:

The graduates of the track "Mathematics and Economics" are prepared for solving analytical, practical and research problems in the areas of quantitative economics, econometrics, mathematical modelling and data-driven economic analysis at the modern national and global markets. They may be employed in the fields of research and academia, Finance, Consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the mathematical and economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as quantitative analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Competencies: 
PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

Description of educational modules:

The educational modules of the track "Mathematics and Economics" form the knowledge and skills about the mathematical foundations of economic and financial markets, including econometrics, optimisation and quantitative modelling, of the local, international and global levels. They get the students familiar with the types of mathematical and economic problems solved at various levels and markets, methods of their solving, economic data structure and processing, data science and AI approaches.

The graduates of the track "Mathematics and Economics" are prepared for solving analytical, practical and research problems in the areas of quantitative economics, econometrics, mathematical modelling and data-driven economic analysis at the modern national and global markets. They may be employed in the fields of research and academia, Finance, Consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the mathematical and economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as quantitative analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Activities and Competencies: 

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

Double Degree Program in Economics and Finance with SWUFE University (China)

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Key learning outcomes:
The graduates of the track "Double Degree Program in Economics and Finance with SWUFE University (China)" are prepared for solving analytical, practical and research problems in the areas of economics and finance in the context of Sino-Russian and global economic relations, international trade, cross-border investment and financial cooperation at the modern national and global markets. They may be employed in the fields of international finance, trade and consulting companies operating in Russian and Chinese markets, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the financial and economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian, English or Chinese language.
Professional Activities and Competencies: 

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research
Description of the professional field:
The graduates of the track "Double Degree Program in Economics and Finance with SWUFE University (China)" are prepared for solving analytical, practical and research problems in the areas of economics and finance in the context of Sino-Russian and global economic relations, international trade, cross-border investment and financial cooperation at the modern national and global markets. They may be employed in the fields of international finance, trade and consulting companies operating in Russian and Chinese markets, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the financial and economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian, English or Chinese language.

Professional Competencies: 
PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research
Description of educational modules:
The educational modules of the track "Double Degree Program in Economics and Finance with SWUFE University (China)" form the knowledge and skills about the economic and financial markets of Russia, China and the global economy, including international trade, cross-border finance and comparative economic systems, of the local, international and global levels. They get the students familiar with the types of economic and financial problems solved at various levels and markets, methods of their solving, economic and financial data structure and processing, data science and AI approaches — all within a cross-cultural and bilingual (English–Chinese) academic environment.

Finance

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:
The graduates of the track "Finance" are prepared for solving analytical, practical and research problems in the areas of financial markets, investment analysis, corporate finance and risk management at the modern national and global markets. They may be employed in the fields of banking, investment funds, asset management, consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the financial problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as financial analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language. 

Professional Competencies: 

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

PC-10 – Able to perform calculations and analysis of key financial indicators and processes

Description of educational modules:

The educational modules of the track "Finance" form the knowledge and skills about the financial markets, instruments and institutions, including investment, corporate finance and risk management, of the local, international and global levels. They get the students familiar with the types of financial problems solved at various levels and markets, methods of their solving, financial data structure and processing, data science and AI approaches.

Economics

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:

The graduates of the track "Economics" are prepared for solving analytical, practical and research problems in the areas of economic theory, applied economics and economic policy at the modern national and global markets. They may be employed in the fields of research institutions, consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as economic analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Competencies:

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

 PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

 PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

 PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

 PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research

 PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

Description of educational modules:

The educational modules of the track "Economics" form the knowledge and skills about the economic systems, markets and policies, including microeconomic and macroeconomic analysis, of the local, international and global levels. They get the students familiar with the types of economic problems solved at various levels and markets, methods of their solving, economic data structure and processing, data science and AI approaches.

Economics and Data Analysis

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:

The graduates of the track "Economics and Data Analysis" are prepared for solving analytical, practical and research problems in the areas of data-driven economic analysis, machine learning, big data analytics and quantitative modelling of economic and financial processes at the modern national and global markets. They may be employed in the fields of IT and technology companies, data analytics and AI departments, Finance, Consulting, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the economic and data science problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as data analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Competencies:

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

 

Description of educational modules:

The educational modules of the track "Economics and Data Analysis" form the knowledge and skills about the data-driven economic and financial markets, including machine learning, big data analytics and AI applications in economics, of the local, international and global levels. They get the students familiar with the types of economic and data science problems solved at various levels and markets, methods of their solving, economic data structure and processing, data science and AI approaches.

Economics and Management

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:
The graduates of the track "Economics and Management" are prepared for solving analytical, practical and research problems in the areas of strategic management, operations management, business economics and organisational performance at the modern national and global markets. They may be employed in the fields of corporate management, consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the economic and managerial problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as business analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language. 

Professional Competencies:

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

PC-5 – Able to critically evaluate options for management decisions, develop and substantiate proposals for their improvement taking into account criteria of socio-economic efficiency, risks, and possible consequences

PC-6 – Able to use financial, accounting, and other information contained in the reporting of enterprises and organizations for making management decisions

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

Description of educational modules:

The educational modules of the track "Economics and Management" form the knowledge and skills about the economic and business environment, corporate management and organisational performance, of the local, international and global levels. They get the students familiar with the types of economic and managerial problems solved at various levels and markets, methods of their solving, economic and business data structure and processing, data science and AI approaches.

Economics and Finance

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:

The graduates of the track "Economics and Finance" are prepared for solving analytical, practical and research problems in the intersection of economic theory and financial practice, including macroeconomic analysis, financial economics and quantitative finance at the modern national and global markets. They may be employed in the fields of Finance, Consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the financial and economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Competencies:

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

 PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

 PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

 PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

 PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research

 PC-10 – Able to perform calculations and analysis of key financial indicators and processes

Description of educational modules:

The educational modules of the track "Economics and Finance" form the knowledge and skills about the economic and financial markets, their interrelation and joint dynamics, including macroeconomic and financial analysis, of the local, international and global levels. They get the students familiar with the types of economic and financial problems solved at various levels and markets, methods of their solving, economic and financial data structure and processing, data science and AI approaches.

2025/2026 Academic year

Mathematics and Economics

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:

The graduates of the track "Mathematics and Economics" are prepared for solving analytical, practical and research problems in the areas of quantitative economics, econometrics, mathematical modelling and data-driven economic analysis at the modern national and global markets. They may be employed in the fields of research and academia, Finance, Consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the mathematical and economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as quantitative analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Competencies: 
PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

Description of educational modules:
The educational modules of the track "Mathematics and Economics" form the knowledge and skills about the mathematical foundations of economic and financial markets, including econometrics, optimisation and quantitative modelling, of the local, international and global levels. They get the students familiar with the types of mathematical and economic problems solved at various levels and markets, methods of their solving, economic data structure and processing, data science and AI approaches.

Double Degree Program in Economics and Finance with SWUFE University (China)

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:
The graduates of the track "Double Degree Program in Economics and Finance with SWUFE University (China)" are prepared for solving analytical, practical and research problems in the areas of economics and finance in the context of Sino-Russian and global economic relations, international trade, cross-border investment and financial cooperation at the modern national and global markets. They may be employed in the fields of international finance, trade and consulting companies operating in Russian and Chinese markets, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the financial and economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian, English or Chinese language.

Professional Competencies: 
PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research
Description of educational modules:
The educational modules of the track "Double Degree Program in Economics and Finance with SWUFE University (China)" form the knowledge and skills about the economic and financial markets of Russia, China and the global economy, including international trade, cross-border finance and comparative economic systems, of the local, international and global levels. They get the students familiar with the types of economic and financial problems solved at various levels and markets, methods of their solving, economic and financial data structure and processing, data science and AI approaches — all within a cross-cultural and bilingual (English–Chinese) academic environment.

Finance

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:
The graduates of the track "Finance" are prepared for solving analytical, practical and research problems in the areas of financial markets, investment analysis, corporate finance and risk management at the modern national and global markets. They may be employed in the fields of banking, investment funds, asset management, consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the financial problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as financial analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language. 

Professional Competencies: 

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

PC-10 – Able to perform calculations and analysis of key financial indicators and processes

Description of educational modules:
The educational modules of the track "Finance" form the knowledge and skills about the financial markets, instruments and institutions, including investment, corporate finance and risk management, of the local, international and global levels. They get the students familiar with the types of financial problems solved at various levels and markets, methods of their solving, financial data structure and processing, data science and AI approaches.

Economics

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:

The graduates of the track "Economics" are prepared for solving analytical, practical and research problems in the areas of economic theory, applied economics and economic policy at the modern national and global markets. They may be employed in the fields of research institutions, consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as economic analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Competencies:

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

 PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

 PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

 PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

 PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research

 PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

Description of educational modules:
The educational modules of the track "Economics" form the knowledge and skills about the economic systems, markets and policies, including microeconomic and macroeconomic analysis, of the local, international and global levels. They get the students familiar with the types of economic problems solved at various levels and markets, methods of their solving, economic data structure and processing, data science and AI approaches.

Economics and Data Analysis

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:

The graduates of the track "Economics and Data Analysis" are prepared for solving analytical, practical and research problems in the areas of data-driven economic analysis, machine learning, big data analytics and quantitative modelling of economic and financial processes at the modern national and global markets. They may be employed in the fields of IT and technology companies, data analytics and AI departments, Finance, Consulting, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the economic and data science problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as data analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Competencies:

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

 

Description of educational modules:
The educational modules of the track "Economics and Data Analysis" form the knowledge and skills about the data-driven economic and financial markets, including machine learning, big data analytics and AI applications in economics, of the local, international and global levels. They get the students familiar with the types of economic and data science problems solved at various levels and markets, methods of their solving, economic data structure and processing, data science and AI approaches.

Economics and Management

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:
The graduates of the track "Economics and Management" are prepared for solving analytical, practical and research problems in the areas of strategic management, operations management, business economics and organisational performance at the modern national and global markets. They may be employed in the fields of corporate management, consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the economic and managerial problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as business analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language. 

Professional Competencies:

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

PC-5 – Able to critically evaluate options for management decisions, develop and substantiate proposals for their improvement taking into account criteria of socio-economic efficiency, risks, and possible consequences

PC-6 – Able to use financial, accounting, and other information contained in the reporting of enterprises and organizations for making management decisions

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

Description of educational modules:
The educational modules of the track "Economics and Management" form the knowledge and skills about the economic and business environment, corporate management and organisational performance, of the local, international and global levels. They get the students familiar with the types of economic and managerial problems solved at various levels and markets, methods of their solving, economic and business data structure and processing, data science and AI approaches.

Economics and Finance

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:

The graduates of the track "Economics and Finance" are prepared for solving analytical, practical and research problems in the intersection of economic theory and financial practice, including macroeconomic analysis, financial economics and quantitative finance at the modern national and global markets. They may be employed in the fields of Finance, Consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the financial and economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Competencies:

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

 PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

 PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

 PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

 PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research

 PC-10 – Able to perform calculations and analysis of key financial indicators and processes

Description of educational modules:
The educational modules of the track "Economics and Finance" form the knowledge and skills about the economic and financial markets, their interrelation and joint dynamics, including macroeconomic and financial analysis, of the local, international and global levels. They get the students familiar with the types of economic and financial problems solved at various levels and markets, methods of their solving, economic and financial data structure and processing, data science and AI approaches.

2024/2025 Academic year

Banking and Finance

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:
The graduates of the track "Finance" are prepared for solving analytical, practical and research problems in the areas of financial markets, investment analysis, corporate finance and risk management at the modern national and global markets. They may be employed in the fields of banking, investment funds, asset management, consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the financial problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as financial analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language. 

Professional Competencies: 

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

PC-10 – Able to perform calculations and analysis of key financial indicators and processes

Description of educational modules:
The educational modules of the track "Finance" form the knowledge and skills about the financial markets, instruments and institutions, including investment, corporate finance and risk management, of the local, international and global levels. They get the students familiar with the types of financial problems solved at various levels and markets, methods of their solving, financial data structure and processing, data science and AI approaches.

Mathematics and Economics

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:

The graduates of the track "Mathematics and Economics" are prepared for solving analytical, practical and research problems in the areas of quantitative economics, econometrics, mathematical modelling and data-driven economic analysis at the modern national and global markets. They may be employed in the fields of research and academia, Finance, Consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the mathematical and economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as quantitative analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Competencies: 
PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

Description of educational modules:
The educational modules of the track "Mathematics and Economics" form the knowledge and skills about the mathematical foundations of economic and financial markets, including econometrics, optimisation and quantitative modelling, of the local, international and global levels. They get the students familiar with the types of mathematical and economic problems solved at various levels and markets, methods of their solving, economic data structure and processing, data science and AI approaches.

Double Degree Program in Economics and Finance with SWUFE University (China)

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:
The graduates of the track "Double Degree Program in Economics and Finance with SWUFE University (China)" are prepared for solving analytical, practical and research problems in the areas of economics and finance in the context of Sino-Russian and global economic relations, international trade, cross-border investment and financial cooperation at the modern national and global markets. They may be employed in the fields of international finance, trade and consulting companies operating in Russian and Chinese markets, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the financial and economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian, English or Chinese language.

Professional Competencies: 
PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research
Description of educational modules:
The educational modules of the track "Double Degree Program in Economics and Finance with SWUFE University (China)" form the knowledge and skills about the economic and financial markets of Russia, China and the global economy, including international trade, cross-border finance and comparative economic systems, of the local, international and global levels. They get the students familiar with the types of economic and financial problems solved at various levels and markets, methods of their solving, economic and financial data structure and processing, data science and AI approaches — all within a cross-cultural and bilingual (English–Chinese) academic environment.

Economics

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:

The graduates of the track "Economics" are prepared for solving analytical, practical and research problems in the areas of economic theory, applied economics and economic policy at the modern national and global markets. They may be employed in the fields of research institutions, consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as economic analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Competencies:

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

 PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

 PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

 PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

 PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research

 PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

Description of educational modules:
The educational modules of the track "Economics" form the knowledge and skills about the economic systems, markets and policies, including microeconomic and macroeconomic analysis, of the local, international and global levels. They get the students familiar with the types of economic problems solved at various levels and markets, methods of their solving, economic data structure and processing, data science and AI approaches.

Economics and Management

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:
The graduates of the track "Economics and Management" are prepared for solving analytical, practical and research problems in the areas of strategic management, operations management, business economics and organisational performance at the modern national and global markets. They may be employed in the fields of corporate management, consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the economic and managerial problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as business analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language. 

Professional Competencies:

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

PC-5 – Able to critically evaluate options for management decisions, develop and substantiate proposals for their improvement taking into account criteria of socio-economic efficiency, risks, and possible consequences

PC-6 – Able to use financial, accounting, and other information contained in the reporting of enterprises and organizations for making management decisions

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

Description of educational modules:
The educational modules of the track "Economics and Management" form the knowledge and skills about the economic and business environment, corporate management and organisational performance, of the local, international and global levels. They get the students familiar with the types of economic and managerial problems solved at various levels and markets, methods of their solving, economic and business data structure and processing, data science and AI approaches.

Economics and Finance

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:

The graduates of the track "Economics and Finance" are prepared for solving analytical, practical and research problems in the intersection of economic theory and financial practice, including macroeconomic analysis, financial economics and quantitative finance at the modern national and global markets. They may be employed in the fields of Finance, Consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the financial and economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Competencies:

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

 PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

 PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

 PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

 PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research

 PC-10 – Able to perform calculations and analysis of key financial indicators and processes

Description of educational modules:
The educational modules of the track "Economics and Finance" form the knowledge and skills about the economic and financial markets, their interrelation and joint dynamics, including macroeconomic and financial analysis, of the local, international and global levels. They get the students familiar with the types of economic and financial problems solved at various levels and markets, methods of their solving, economic and financial data structure and processing, data science and AI approaches.

2023/2024 Academic year

Banking and Finance

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:
The graduates of the track "Finance" are prepared for solving analytical, practical and research problems in the areas of financial markets, investment analysis, corporate finance and risk management at the modern national and global markets. They may be employed in the fields of banking, investment funds, asset management, consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the financial problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as financial analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language. 

Professional Competencies: 

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

PC-10 – Able to perform calculations and analysis of key financial indicators and processes

Description of educational modules:
The educational modules of the track "Finance" form the knowledge and skills about the financial markets, instruments and institutions, including investment, corporate finance and risk management, of the local, international and global levels. They get the students familiar with the types of financial problems solved at various levels and markets, methods of their solving, financial data structure and processing, data science and AI approaches.

Accounting and Finance

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:
The graduates of the track "Accounting and Finance" are prepared for solving analytical, practical and research problems in the areas of financial accounting, management accounting, auditing, corporate finance, financial analysis, taxation and financial management at the modern national and global markets. They may be employed in the fields of Finance, Auditing, Consulting, Real Sector, Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of financial and economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern financial instruments, models, artificial intelligence and data science methods. They may work as managers at all levels, as financial analysts, auditors, accountants and researchers, as IT and AI specialists in finance, in a very competitive and constantly changing environment, in Russian or English language. 

Professional Competencies:
PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained
 PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained
 PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators
 PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance
 PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research
 PC-10 – Able to perform calculations and analysis of key financial indicators and processes
Description of educational modules:
The educational modules of the track " Accounting and Finance " form the knowledge and skills about the аaccounting, economic systems, markets and policies, including microeconomic and macroeconomic analysis, of the local, international and global levels. They get the students familiar with the types of economic problems solved at various levels and markets, methods of their solving, economic data structure and processing, data science and AI approaches.

Mathematics and Economics

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:

The graduates of the track "Mathematics and Economics" are prepared for solving analytical, practical and research problems in the areas of quantitative economics, econometrics, mathematical modelling and data-driven economic analysis at the modern national and global markets. They may be employed in the fields of research and academia, Finance, Consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the mathematical and economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as quantitative analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Competencies: 
PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, te

The graduates of the track "Mathematics and Economics" are prepared for solving analytical, practical and research problems in the areas of quantitative economics, econometrics, mathematical modelling and data-driven economic analysis at the modern national and global markets. They may be employed in the fields of research and academia, Finance, Consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the mathematical and economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as quantitative analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Competencies: 
PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

st hypotheses, analyze and meaningfully interpret the results obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

Description of educational modules:
The educational modules of the track "Mathematics and Economics" form the knowledge and skills about the mathematical foundations of economic and financial markets, including econometrics, optimisation and quantitative modelling, of the local, international and global levels. They get the students familiar with the types of mathematical and economic problems solved at various levels and markets, methods of their solving, economic data structure and processing, data science and AI approaches.

Economics

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:

The graduates of the track "Economics" are prepared for solving analytical, practical and research problems in the areas of economic theory, applied economics and economic policy at the modern national and global markets. They may be employed in the fields of research institutions, consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as economic analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Competencies:

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

 PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

 PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

 PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

 PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research

 PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

Description of educational modules:
The educational modules of the track "Economics" form the knowledge and skills about the economic systems, markets and policies, including microeconomic and macroeconomic analysis, of the local, international and global levels. They get the students familiar with the types of economic problems solved at various levels and markets, methods of their solving, economic data structure and processing, data science and AI approaches.

Economics and Management

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:
The graduates of the track "Economics and Management" are prepared for solving analytical, practical and research problems in the areas of strategic management, operations management, business economics and organisational performance at the modern national and global markets. They may be employed in the fields of corporate management, consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the economic and managerial problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as business analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language. 

Professional Competencies:

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

PC-4 – Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

PC-5 – Able to critically evaluate options for management decisions, develop and substantiate proposals for their improvement taking into account criteria of socio-economic efficiency, risks, and possible consequences

PC-6 – Able to use financial, accounting, and other information contained in the reporting of enterprises and organizations for making management decisions

PC-9 – Able to use modern software and databases in the analysis and planning of socio-economic processes

Description of educational modules:
The educational modules of the track "Economics and Management" form the knowledge and skills about the economic and business environment, corporate management and organisational performance, of the local, international and global levels. They get the students familiar with the types of economic and managerial problems solved at various levels and markets, methods of their solving, economic and business data structure and processing, data science and AI approaches.

Economics and Finance

Track Supervisor: Zamkov, Oleg O.
Language of instruction: English
Use of online learning: With online tools
Qualification upon graduation: Bachelor
Description of the professional field:

The graduates of the track "Economics and Finance" are prepared for solving analytical, practical and research problems in the intersection of economic theory and financial practice, including macroeconomic analysis, financial economics and quantitative finance at the modern national and global markets. They may be employed in the fields of Finance, Consulting, IT, Real Sector and Government institutions, or develop their own business. The professional activity of the graduates includes the investigation of the financial and economic problems of global, international, national, industrial, market and company level, composing the approach to their solving and its implementation with the use of modern mathematical instruments and models, artificial intelligence and data science methods. They may work as managers at all levels, as analysts and researchers, as IT and AI specialists, in a very competitive and constantly changing environment, in Russian or English language.

Professional Competencies:

PC-1 – Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

 PC-2 – Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained

 PC-3 – Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

 PC-7 – Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

 PC-8 – Able to assess how financial and economic data align with the results of theoretical and applied research

 PC-10 – Able to perform calculations and analysis of key financial indicators and processes

Description of educational modules:
The educational modules of the track "Economics and Finance" form the knowledge and skills about the economic and financial markets, their interrelation and joint dynamics, including macroeconomic and financial analysis, of the local, international and global levels. They get the students familiar with the types of economic and financial problems solved at various levels and markets, methods of their solving, economic and financial data structure and processing, data science and AI approaches.
Competitive Advantages

The characteristics of the ICEF International Programme in Economics and Finance are its advantages. With focus on finance and economics, its curriculum features an expanded range of core courses and builds on the demanding international academic standards. The programme is taught in English. 

Curriculum. To ensure the consistency with high academic standards for professional training, the curriculum combines the best traditions of the Russian and international programmes in Economics and Finance.

Focus on finance.  Each of the areas of specialization (Finance, Mathematics and Economics, Economics, Economics and Management, Economics and Finance, Economics and Data Analysis) teaches a set of core courses in Financial Economics. These core courses include Accounting and elective courses – Corporate Finance and Quantitative Finance. All areas of specialization feature a structured set of courses at the confluence of Finance and data sciences, business, and quantitative methods.

Academic standards

- Highly competent faculty, recruited internationally and appraised regularly in accordance with the international procedures and criteria.

- The instruction is in English and uses the best textbooks, manuals and online sources that are used by the world’s leading universities.

- Knowledge assessment uses the best practices adopted by top universities abroad: written exams use detailed, explicit tasks and assessment schemes and involve the board of examiners.

- Recognition for high academic standards. With international education, graduates can continue studies at the world’s top universities. They are employed by largest international and domestic companies, banks and foundations in more than 40 countries. 

Professional Activities and Competencies of Programme Graduates

During their studies students acquire knowledge and skills for both professional and academic careers. They receive all needed competencies, both professional and personal. International level education allows graduates to become employed in largest international commercial and investment banks, auditing and consulting companies, real sector corporations and enterprises, Government and other organizations. ICEF BSc graduates that want to pursue academic career are admitted to the leading graduate programs (MSc, PhD, MBA) in the best Russian and foreign universities.

Professional Competencies 

PC - 1

Able to select tools for processing economic data in accordance with the assigned task, analyze the results of calculations, and substantiate the conclusions obtained

 
PC - 2Able to build and evaluate theoretical and econometric models based on information about economic and financial processes, test hypotheses, analyze and meaningfully interpret the results obtained 

PC - 3

Able to analyze and interpret data from domestic and foreign statistics on socio-economic processes and phenomena, identify trends in changes in socio-economic indicators

 

PC - 4

Able to prepare an information review and/or analytical report in Russian or English, using domestic and foreign sources of information

 

PC - 5

Able to critically evaluate options for management decisions, develop and substantiate proposals for their improvement taking into account criteria of socio-economic efficiency, risks, and possible consequences

 

PC - 6

Able to use financial, accounting, and other information contained in the reporting of enterprises and organizations for making management decisions

 

PC - 7

Able to use artificial intelligence technologies and methods in setting and solving problems of economics and finance

 

PC - 8

Able to assess how financial and economic data align with the results of theoretical and applied research

 

PC - 9

Able to use modern software and databases in the analysis and planning of socio-economic processes

 

PC -10

Able to perform calculations and analysis of key financial indicators and processes

 
 
Programme Modules

The year 1 BSc students follow basic economic and mathematical disciplines, and take examinations in Microeconomics, Macroeconomics, Calculus and Statistics, as well as the exam in English. On the Year 1 they also have electives in the areas of Information Systems and Programming, and in History and Philosophy.

The programme includes the following subject groups:

1. Economics: Microeconomics, Macroeconomics, Econometrics

2. Mathematics: Calculus, Statistics, Mathematics for economists, Information computer systems.

3. Professional specialization courses: Principles of Accounting, Principles of Corporate Finance, Principles of Finance, Management Accounting, International Economics, Investment Management, Financial Intermediation, Quantitative Finance, Abstract Mathematics, Auditing and Assurance, Optimization Theory, Mathematics of Financial Mathematics and Valuation, Monetary Economics, Industrial Economics, International Economics, Machine learning, Deep learning, Computational statistics and other disciplines. Students can take other specializations’ courses as elective ones.

4. Humanities: Sociology, History of Russia, Basics of Russian Statehood, Political Science, Principles of Law, and other disciplines.

On the years 2-4 students’ research seminar is available, and students may do their research and prepare the term/degree papers under the supervision of internationally recognized researchers who publish in the international refereed journals.

Characteristics of educational modules

1.  Major forms the basis of future professional activities and consists of two parts, basic professional block and elective professional block.

Basic professional block contains subjects such as Calculus, Linear Algebra, Probability Theory and Statistics, Microeconomics and Macroeconomics, Econometrics, and others that build on those fundamental subjects. 

Elective professional block contains a large number of elective subjects and allows each student to choose their professional educational track individually. The students may start choosing subjects starting from Year 1 and in Year 2 they may choose one out of six specializations: Economics and Finance, Finance, Mathematics and Economics, Economics and Management, Economics, Economics and Data Analysis.

 2. Practical module forms the students’ competencies that allow them to solve practical tasks in the chosen professional area, including project work, science and research, entrepreneurship, expertise and analytics. The core of this module is research project seminar where students of all years participate. They can vary from classical research seminars to project seminars usually held in cooperation with partners in the areas of business, finance and government organizations. This module includes students’ preparation of year papers and projects, pre-defense practice and work on Diploma papers.

3. Module of common cycle subjects is aimed at broadening the horizons, mastering the instruments and methods of other subjects, developing critical thinking. The disciplines include Principles of Law, History of Russia, Basics of Russian Statehood, Sociology, Political Science, Safe Living Basics, Physical Training, etc.

 4. Minor allows the students to obtain additional competencies outside the scope of major educational track.

 5. English Language module aims at ensuring the BSc graduate is ready and able to communicate professionally in English. The language of instruction for all subjects of the Programme is English. All students graduate after defending the Diploma project in English.

6. Data Culture module facilitates the mastery of contemporary technologies in Data Science and acquiring the competencies for their application in professional area.  The students can study disciplines: Information Сomputer Systems, Programming and Databases, Python Programming and Data Processing and etc.

7. Final State Attestation module includes defense of Diploma paper and allows to estimate the level of results shown by the student after having completed the educational program.

Options for Students with Disabilities

This degree programme of HSE University is adapted for students with special educational needs (SEN) and disabilities. There is a specially designed Physical Education course available for such students (Syllabus of the adapted Physical Education course). Special assistive technology and teaching aids are used for collective and individual learning of students with SEN and disabilities. The specific adaptive features of the programme are listed in each subject's full syllabus and are available to students through the online Learning Management System.

Programme Documentation

All documents of the degree programme are stored electronically on this website. Curricula, calendar plans, and syllabi are developed and approved electronically in corporate information systems. Their current versions are automatically published on the website of the degree programme. Up-to-date teaching and learning guides, assessment tools, and other relevant documents are stored on the website of the degree programme in accordance with the local regulatory acts of HSE University.

I hereby confirm that the degree programme documents posted on this website are fully up-to-date.

Vice Rector Sergey Yu. Roshchin

Summary of Degree Programme 'International Programme in Economics and Finance'

Go to Programme Contents and Structure