• Introduction of cost-effective data collection methods, such as crowdsourcing, addressing the specific realities and challenges of African cities.
• Integration of essential tools like Geographic Information Systems (GIS) and remote sensing, along with an introduction to artificial intelligence and its applications in urban modeling.
• A balanced approach combining theoretical learning with practical applications tailored to the African context.
• A unique opportunity for participants to collaborate with professionals, experts, and decision-makers committed to urban development in Africa.

• The ability to integrate Information and Communication Technologies (ICT) into urban management.
• An enhanced understanding of urban data and its acquisition methods.
• A strong knowledge of urban data analysis and visualization methods and their applications.

• Hold at least a Bac+4 degree (equivalent to Master’s level or higher).
• Hold a Bac+3 degree (equivalent to Bachelor’s level) and have at least 4 years of professional experience.

• Big Urban Data & Spatial Big Urban Data for Smart Cities
• Crowdsourcing, Open Data, and Citizen Participation (Data Collection)
• Introduction to GIS / Web-Based GIS
• Introduction to Remote Sensing
• Artificial Intelligence Technologies and Integration into African Smart Cities
• Socio-Economic Data (Surveys, Interviews, etc.)

Pr. Jérôme Chenal, Director of the Center of Urban Systems (CUS)

Learn more about the CUS

• Attends the course (either in person or online).
• Passes the knowledge assessments at the end of the course. These assessments may take various forms (e.g., reports, quizzes, etc.) as determined by the instructor.