The program aims to train next-generation economists with knowledge of ecosystems, their formation and development in the digital economy, tools and FinTech technologies to develop and implement rapid business growth strategies.
The program allows students to get theoretical knowledge and practical skills of applying modern financial technologies and information databases for effective solution of professional problems.
The discipline is aimed at forming knowledge in the field of technological entrepreneurship in FinTech and development of skills related to business modeling.
The discipline is aimed at developing the ability of students to apply big data processing and machine learning technologies to the solution of applied tasks related to the provision of financial services.
Discipline introduces students to the types of scoring and the scope of their application. Students learn how to collect data for their building and are given a complete picture for building scoring models based on big data and machine learning.
Students study dynamic design of financial instrument portfolios in global markets, i.e. study how to combine financial instruments to obtain a flow of payments with properties, which individual tools in the portfolio do not have.
The discipline is aimed at developing knowledge, analytical and practical skills of methods and tools for financing high-tech projects within the framework of innovative activities of corporations.
The discipline is aimed at forming theoretical knowledge and practical skills in the basics of the constructing and functioning of intellectual systems.
Our graduates are in high demand in banks, investment companies and foundations, financial institutions, industrial companies, infrastructure and telecommunications companies, trade networks, FinTech startups, and consulting companies.