• uzbekistan
  • uzbekistan
  • Русский
  • Oʻzbek

Digital economy (by sectors and industries)

Digital Economy – is focused on managing economic processes using digital technologies, analyzing data through information systems, improving the efficiency of economic activity, and studying modern market relations in depth.
Students in this field gain theoretical and practical knowledge in digital economy theory, information technologies, programming fundamentals, data analysis, e-commerce, fintech, macro- and microeconomics, artificial intelligence, international economic relations, management, and digital marketing.
A digital economist is a highly sought-after specialist in areas such as economic analysis, digital decision-making, business process automation, online platform development, and strategy development based on artificial intelligence and big data analysis. They conduct digital market analysis, manage economic processes, and evaluate efficiency using digital technologies.
Graduates can work as digital economists, analysts, and managers in banks, fintech and IT companies, e-commerce organizations, digital transformation departments, and both public and private enterprises.
The Department of Agricultural Economics is responsible for training digital economist specialists
Digital economy (by sectors and industries)

General information

Agroeconomics, logistics and services
Digital economy (by sectors and industries)
  • Referral code
    60310500
  • Duration of training
    4 years
  • State accreditation
    Available
  • Professional and public accreditation
    Available
  • The form of education
    Full-time education
  • Education level
    Bachelor's degree
  • International accreditation
    Unavailable

Key disciplines

  • Applied Mathematics 1, 2
  • Economic Theory 1, 2
  • Information and communication technologies and systems in economics
  • History of economic thought
  • Statistics
  • Econometrics
  • Fundamentals of Programming
  • Digital Economy
  • Green Economy
  • Macroeconomics
  • Big Data Analysis Methods
  • Artificial Intelligence 1, 2
  • Economic Security
  • Cloud Computing
  • Digital Marketing
  • Digital Business Models
  • IT Project Management