Economic Data Science

Harness the power of data to unlock valuable insights in economics and business with Prague University of Economics and Business’s BSc in Economic Data Science. This three-year, full-time program equips you with the quantitative skills, statistical knowledge, and data analysis expertise to become a sought-after data scientist in the dynamic field of economics.

Become a Data-Driven Economist: Combine your economic foundation with a strong understanding of data science methodologies. Learn to collect, clean, analyze, and interpret economic data using advanced statistical tools and programming languages (e.g., R, Python).

Develop Analytical Expertise: Master econometric methods, statistical modeling techniques, and machine learning algorithms to extract meaningful insights from complex economic datasets. Learn to communicate your findings effectively using data visualization tools.

Solid Economic Foundation: Gain a comprehensive understanding of economic theory, econometrics, and quantitative methods commonly used in economic analysis. Explore areas like microeconomics, macroeconomics, financial markets, and econometrics.

Project-Based Learning: Develop your data science skills and apply your economic knowledge through engaging real-world projects. Work with real economic data, tackle data analysis challenges, and learn to present your findings to both technical and non-technical audiences.

Professional Preparation: Gain the knowledge and skills necessary to launch your career as a data scientist in the economic sector. Learn about data management best practices, responsible data analysis, and potential career paths within economic consultancies, financial institutions, government agencies, and research institutions.

This program is ideal for students with a strong interest in both economics and data analysis. Graduates emerge as versatile economic data scientists prepared for diverse careers in various fields, including:

• Economic consulting
• Financial modeling and risk analysis
• Market research and analysis
• Economic forecasting
• Government economic policy analysis
• Data science roles within economic research institutions
• Further studies in Economics, Data Science, or related fields (e.g., Econometrics, Financial Mathematics)