Master Programme Overview
Background
Across sectors, decision-makers need timely, reliable, and interpretable geospatial information to respond to rapid environmental and societal change. At the same time, the availability of Earth observation, sensor, and administrative data is increasing dramatically, and cities and regions are investing in Digital Twin initiatives. Geo-AID responds to this skills gap by combining Geo-Information Science, AI, and Digital Twins in a single joint master programme.
Objectives
- Educate experts who can turn multimodal geospatial data into actionable insights for sustainability challenges.
- Develop advanced competence in Geo-AI, including spatiotemporal data processing and scalable machine learning workflows.
- Train students to design, implement, and evaluate Digital Twin components for decision support and governance.
- Strengthen multidisciplinary collaboration skills, including stakeholder engagement and responsible innovation.
How you learn
- Foundations: core concepts in geospatial data, Geo-AI, and Digital Twins.
- Applied projects: hands-on work with real datasets, tools, and challenges connected to sustainability.
- Mobility: an integrated study path across UT (ITC), SU (GATE), and METU.
- Thesis: a final research or applied thesis with joint supervision (and, where applicable, external partners).
🧩Under development: the detailed semester-by-semester curriculum, ECTS tables, and final mobility tracks will be published after the project is granted.