Faculty of Information Technology and Big Data Analysis

We train specialists in the field of information technology, information security in automated systems, and construction of complex financial models, including those based on big data processing. We are called the smartest Faculty at the University. Of course, because future mathematicians, IT specialists and future experts in the field of information security study here!

Our mission is to be the leading scientific-educational and project-consulting center in the field of analytical and information technologies, to promote the prestige of the Financial University.

The results of research projects are actively used in the educational process both at the Faculty of Applied Mathematics and Information Technology and at other faculties of the University, providing alumni with modern tools of analytics and information technologies, which are in demand in financial and credit institutions, and in fintech companies.

• Machine learning and data analysis in economics and finance;
  
• Distributed registry technologies (blockchain), cryptocurrency and smart contracts;
  
• Corporate mobility and the Internet of things;
  
• Information technology management in the digital economy;
  
• Technologies of collective intelligence;
  
• Cyber security in the financial sphere;
  
• Intelligent applications and artificial intelligence systems;

• Unique educational programs combining fundamental knowledge of mathematics and modern information technology;
  
• Continuous updating of educational programs taking into account labor market requirements;
  
• System of education and rapid career development of our alumni;
  
• Additional intensive courses;
  
• Classes are conducted by well-known scientists, doctors of science, leading practitioners;
  
• Demand for our specialists on the labor market;

Our alumni possess a wide range of professional competencies, including a confident knowledge of the skills of using both modern technical and software tools and information technologies to solve the problems of the enterprise; a high level of mobility and the ability to rapidly adopt new technical and software tools for various purposes.