• ‘Financial Technologies in Business’

    • Full-time
    • 2 years
    • RU
    • 400 000 RUB
  • Entrance exams

    • Economic Theory
    • Foreign language (English, Chinese, German, French, Spanish)

Program description

The program is aimed at training a new generation of economists with knowledge of the formation and development of ecosystems in the digital economy, tools and fintech technologies for the development and implementation of strategies for rapid business growth. The program allows you to gain theoretical knowledge and practical skills in the application of modern financial technologies, information databases for the effective solution of professional tasks. Graduates of the program receive sustainable skills of professional personal growth, professional development, which provides an inherent competitive advantage.

Accreditation and Partners

Program managers

Stepnov Igor Mikhailovich

  • Doctor of Economics, Professor.
  • Member of the Dissertation Council for awarding the degree of Doctor and PhD in Economics at the Institute of Market Economy of the Russian Academy of Sciences. 
  • Member of the Expert Council of the All-Russian Academy of Sciences of the Russian Federation on sectoral and regional economics (since 2013). 
  • Member of the Editorial Board of the journals: “Problems of Market Economy", “Innovations in Management", “Economics and Management in Engineering", “Journal on International Economic Affairs". Expert of the Russian Science Foundation. 
  • Expert of the Federal Service for Supervision in the Field of Education and Science of the Russian Federation for the accreditation examination of educational organizations. 
  • Member of the research team of the Institute of Market Economy of the Russian Academy of Sciences (main contractor) for the grant implementation of the Russian Academy of Sciences № 16-18-10149 on the topic “Research of Competition and Coordination Problems in the National Project Offices Formation". 
  • Honorary Worker of Higher Education of the Russian Federation (2017). Honorary Worker of Higher Professional Education of the Russian Federation.

Solovyov Vladimir Igorevich

  • Doctor of Economics, Professor.
  • Dean of the Faculty of Information Technology and Big Data Analysis, Head of the Department of Data Analysis and Machine Learning.
  • Winner of the Prof. Ovsievich Award, winner of the CEEMAN Champion Award of the CEEMAN Management Development Association, three times winner of the Project of the Year Award of the Official IT Directors Community of Russia GlobalCIO. 
  • He has been working in the field of data processing and analysis technologies since 1990. During this time, he has implemented many projects for companies from the financial industry and the real sector of the economy in the field of financial market analysis, smart manufacturing modeling, industrial, financial, and educational Internet of Things, as well as in the field of artificial intelligence and data processing. 
  • Authored over 20 books, more than 100 scientific articles and more than 30 articles in professional IT journals.

Upon completion of the program, graduates will be able to

  • Use modern methods and appropriate information technologies to formulate and solve problems in the field of FinTech.
  • Bring data-based services to the market.
  • Evaluate the effectiveness of financial decisions based on modern models and computer programs.
  • Apply data mining and machine learning methods to solving applied problems related to the provision of financial services.
  • Design business models based on intelligent IT services.
  • Develop methods and evaluate the effectiveness of economic projects taking into account risk factors in conditions of uncertainty.

Key disciplines of the concentration

Technological Foundations and Business Models in FinTech

The discipline is aimed at the formation of students’ knowledge in the field of technological entrepreneurship in fintech and the development of skills related to business modeling.

Big Data and Machine Learning

The discipline is aimed at developing students’ ability to apply big data processing technologies and machine learning to solving applied problems related to the provision of financial services.

Scores, Ratings, Rankings

The discipline introduces students to the types of scoring and the scope of their application, teaches them to independently collect data for their construction, gives a complete idea and practical skills for building scoring models based on big data and machine learning.

Portfolio Investing and Robo-Advising

Dynamic construction of financial instrument portfolios in global markets, i.e. combining financial instruments to obtain a payment flow with properties that the instruments included in the portfolio individually do not possess.

Financing of High-Tech Projects in the Digital Economy

The discipline is aimed at forming a system of knowledge, analytical and practical skills on the use of methods and tools for financing high-tech projects within the framework of innovative activities of corporations.

Intelligent Information Systems

The discipline is aimed at the formation of students’ theoretical knowledge and practical skills on the basics of building and functioning of intelligent systems.


Graduates of the program are in demand in banks, investment companies and funds, financial institutions, industrial companies, infrastructure and telecommunications companies, agricultural companies, retail chains, fintech startups, consulting and system integration.

Organizations where you can find a job

Unique advantages of the program

Classes are held with the involvement of experts in the field of new financial technologies.

Skills of working with big data and designing financial systems and services are acquired using modern IT tools and are held at practical classes and hackathons in FinU computer classes, as well as on-site classes with program partners.

The strategic partners of the program are the companies Interfax, RVC, QIWI.

Students receive combined skills in the field of modern financial and information technologies.

Students get internships in leading Russian companies and banks: Sberbank, Raiffeisenbank, Unicredit Bank, RVC, Roselectronics, Interfax.