Our program gives students an opportunity to obtain fundamental and applied knowledge. Students learn how to find effective solutions to financial and economic cases using the latest mathematical methods, information technologies, and information systems.
Our graduates have expertise in data analysis, investment analysis, risk management, forecasting and analytical calculating in the sphere of economic and management activities, and information and analytical business support.
Students learn how to program using the language Python and apply skills for finding solutions in professional activities.
This discipline is aimed at developing practical skills of big data processing in the modern IT infrastructure and applications in the economy and finance.
Students learn how to configure the models of machine learning algorithms according to the data provided and the best methods for applications, which fully reflect its specific features.
This discipline is aimed at developing data analysis technologies and machine learning to find applications in economy and finance.
The discipline is aimed at forming knowledge of modern mathematical methods of financial analysis as well as studying theoretical basics and obtaining skills of finding applications.
This discipline is aimed at forming theoretical knowledge and practical skills of building actuarial mathematics; implementing and interpreting the results of actuarial data analysis; obtaining skills in solving insurance problems.
Our graduates work in banks as well as investment, insurance, telecommunications, trading, and production companies, organisations of various types of ownership, industry and business. These organisations develop and use information systems, intellectual products and services based on technologies and scientific achievements in the field of data analysis and decision-making.