The convergence of urban rail systems with smart city infrastructure is transforming the urban mobility and development landscape. The course Smart Urban Rail and Infrastructure Development is an integrated and advanced learning program that merges the principles of “Urban Rail Project Management and Development” with strategic insights from “Smart City Infrastructure Planning and Development.” This course empowers participants to design, plan, and implement efficient, sustainable, and forward-looking urban transit and infrastructure projects aligned with global smart city goals.
Globally, more than 500 cities are actively transitioning into smart cities, with projected investments exceeding USD 327 billion by 2025. According to the United Nations, 68% of the world’s population will live in urban areas by 2050, emphasizing the urgency for sustainable urban mobility and infrastructure. The urban rail industry alone is expected to grow at a CAGR of over 5% during 2024–2030, driven by increased public transport demand, environmental mandates, and rapid urbanisation.
This course addresses the planning, technical, financial, and operational dimensions of smart rail and infrastructure projects. It equips participants with a deep understanding of urban rail systems’ integration into the broader ecosystem of smart cities—ranging from sustainable transportation, energy-efficient utilities, digital public services, to data-driven command and control centers. Participants will explore real-world case studies from global pioneers like Singapore, Dubai, and Barcelona, and learn about the importance of PPP models, IoT-driven infrastructure, intelligent transportation, predictive analytics, smart grids, and digital governance in urban transformation.
Participants will also gain competencies in managing rail project risks, conducting feasibility studies, aligning transport infrastructure with smart city command and control centres, implementing AI-powered traffic systems, ensuring cybersecurity of connected systems, and embedding sustainable practices across city functions.
Key highlights of the training include:
In-depth coverage of urban rail design, planning, risk assessment, and optimization
Integration of rail systems with smart utilities like smart water, electricity grids, and IoT-based sensors
Understanding the role of digital twins, AI, and GIS in infrastructure decision-making
Application of predictive analytics and big data in transport planning
Case-based exposure to PPP investments, smart public services, and disaster resilience strategies
This course bridges the technological, managerial, and policy dimensions of modern urban development and prepares professionals to lead transformative city-wide projects that align with global standards of urban mobility, sustainability, and citizen well-being.

Key Takeaways:

• In-depth coverage of urban rail design, planning, risk assessment, and optimization
• Integration of rail systems with smart utilities like smart water, electricity grids, and IoT-based sensors
• Understanding the role of digital twins, AI, and GIS in infrastructure decision-making
• Application of predictive analytics and big data in transport planning
• Case-based exposure to PPP investments, smart public services, and disaster resilience strategies

• In-depth coverage of urban rail design, planning, risk assessment, and optimization
• Integration of rail systems with smart utilities like smart water, electricity grids, and IoT-based sensors
• Understanding the role of digital twins, AI, and GIS in infrastructure decision-making
• Application of predictive analytics and big data in transport planning
• Case-based exposure to PPP investments, smart public services, and disaster resilience strategies