Cities strive to become more sustainable by adopting smart technologies to reduce its environmental footprints (e.g. geospatial data science), in alignment with the United Nations Sustainable Development Goals (SDGs), particularly SDG 11 (Sustainable Cities and Communities). This theory and practice-oriented course equips students with knowledge, skills, and capabilities to understand, evaluate, and communicate multidimensional sustainability in the urban context. Some related topics included sustainable urban planning, sustainable transportation systems, and the reduction of greenhouse gas (GHG) emissions and air pollutants (e.g., PM_2.5 and PM₁₀₎. The key objectives of this course are: (1) to provide an interdisciplinary introduction as well as conceptual background of sustainability and resilience theory to students from an urban perspective; (2) to introduce principles of geospatial data science a long with their applications to smart and sustainable cities; and (3) to develop teach students’ practical skills through hands-on exercises using ArcGIS-Pro in lab sessions,enabling them to apply geospatial tools and technologies in order to analyze urban issues and establish priorities for improving overall sustainability. This course aims to train students to become sustainability managers/programme coordinators/officers in public private institutions/organisations, where they can play significant roles in designing smart and sustainable cities.