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This course is designed for master nad Phd students, researchers, academics, and professionals eager to deepen their understanding of spatial data analysis and its applications in regional science. Throughout the program, participants will explore spatial econometrics in R, learn to identify and address spatial dependence in panel data, to apply cutting-edge techniques for more sophisticated data analysis, delve into the complexities of economic modeling across multiple sectors and regions and combine theoretical knowledge with practical application by engaging in empirical simulation models and testing complex causal relationships. Besides, the participants will broaden analytical skills with advanced spatial analysis techniques for comprehensive neighborhood and regional science studies. This program is perfect for those looking to stay at the forefront of regional science research, offering a blend of theoretical knowledge and practical application. Join us for an enlightening journey into the world of spatial econometrics and regional science.


The course offers comprehensive learning outcomes, condensed into four key areas:

  • Mastery of spatial econometric tools in R and the ability to analyse spatial dependencies in economic data, with practical application to regional studies.
  • Expertise in multisectoral and multi-regional economic modelling
  • Introduction to innovative methodologies in regional science, such as spatial machine learning, agent-based modelling and Structural Equation Modelling, for robust economic and social simulations.
  • Practical experience with survey methods and spatial analysis, culminating in the ability to conduct empirical research and neighbourhood analysis within regional science.


  • Graduate students in economics (or in social sciences, technical sciences or science related fields) who intend to round out their knowledge in the regional science and use it in the process of preparing dissertations.

  • Holders of undergraduate degrees or students on last year of their studies in economics or the social sciences who wish to study the field of regional economics.

  • Researchers and professionals working in the field.


The FEBT Summer School program provides participants with an evaluation process which includes both online and onsite components, aimed at facilitating official credit transfers (ECTS).

Evaluation Procedure:

Participants obtaining 3 ECTS credits will undergo evaluation based on consistent and active attendance throughout the course, as well as completion of an online assignment in the form of a take-home essay (cca 10,000 words).

The objective of the essay is to demonstrate critical thinking skills regarding the challenges of research methods in regional science. 


Participants not interested in credit transfer will instead receive the Certificate of Attendence, stating the course completed. These students will be neither evaluated nor graded.


The price of course includes lecture and practical hours. More details about fees find here!


Course outline is available here.