Executive Development Programme in Smart City Data & Infrastructure Management

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The Executive Development Programme in Smart City Data & Infrastructure Management is a certificate course designed to equip learners with essential skills for career advancement in the rapidly evolving smart city industry. This programme highlights the importance of data-driven decision-making and smart infrastructure management in creating sustainable, efficient, and livable urban environments.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With the global smart city market projected to reach $2.5 trillion by 2026, there is a growing demand for professionals who can manage and leverage data to improve city infrastructure and services. This course covers key topics including data analytics, IoT, urban planning, and policy development, preparing learners to capitalize on this demand and drive innovation in smart cities. By completing this programme, learners will gain a competitive edge in the job market, demonstrate a commitment to professional development, and possess the skills necessary to lead smart city initiatives in the public, private, and non-profit sectors.

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Smart City Data Management: Understanding the importance of data in smart cities, data collection methods, data cleaning, data integration, data privacy, and data security.
โ€ข Infrastructure Management: Overview of smart city infrastructure, including transportation, energy, water, and waste management systems. Emphasis on the role of technology in infrastructure management.
โ€ข Data Analytics: Introduction to data analytics techniques and tools, including data visualization, machine learning, and artificial intelligence. Application of data analytics in smart city decision-making.
โ€ข Cybersecurity: Understanding cybersecurity threats and challenges in smart cities, and strategies to mitigate these risks. Emphasis on securing critical infrastructure and data privacy.
โ€ข Internet of Things (IoT): Overview of IoT technology and its application in smart cities, including sensors, devices, and networks. Emphasis on the importance of interoperability and standardization.
โ€ข Artificial Intelligence (AI) and Machine Learning (ML): Introduction to AI and ML, and their application in smart city services, such as traffic management, public safety, and energy efficiency.
โ€ข Cloud Computing: Overview of cloud computing and its role in smart city data and infrastructure management. Emphasis on scalability, reliability, and security.
โ€ข Sustainable Urban Development: Understanding the principles of sustainable urban development and how smart cities can contribute to environmental, social, and economic sustainability.
โ€ข Project Management: Best practices for managing smart city projects, including stakeholder engagement, risk management, and budgeting.

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN SMART CITY DATA & INFRASTRUCTURE MANAGEMENT
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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