Digital Urban Analytics

This programme aims to train a new generation of professionals with skills in data analysis, working with geoinformation systems, and making data-driven planning decisions. Graduates of the programme will understand the capabilities and limitations of sociological tools, know the regulatory framework of urban development, and possess skills in project budgeting and management. 

The program is based on four elements: theoretical and instrumental bases, a management block and project work.
work.

Theory is essential for providing a thorough evaluation of the project's quality and its significance for the city's development on a global scale.
Compulsory courses
- Introduction to Urbanism
- Legal regulation in urban planning and governance
- Urban Economics
- Sociology of the city

Proficiency in analytical tools, encompassing various approaches for examining urban data such as spatial, sociological, and economic methods, is a prerequisite for a professional to contribute effectively to a practical project.

Compulsory and elective courses:
- Geo-information analysis of urban data
- Mathematical methods for urban research
- Sociological research methodology
- Analyzing quantitative and qualitative data in the social sciences
social sciences
- Advanced Methods in Urban Analytics and Machine Learning
- Digital Anthropology

Project management: team recruitment, management, mechanisms of project financing and implementation mechanisms, drafting of project and internal technical specifications.

Compulsory courses:
- Mechanisms of project financing and realization
- Methods of project communication

Project work: preparation of students for solving real tasks on analytical support of project activities, presentation skills, storytelling, teamwork and communication with customers.
 

The final stage of training will be the defense of the final project work.

Portfolio competition including an interview (online)