Advanced Certificate in Next-Gen Mobility: Decision Science

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The Advanced Certificate in Next-Gen Mobility: Decision Science is a comprehensive course designed to equip learners with essential skills for career advancement in the rapidly evolving mobility industry. This course focuses on data-driven decision-making and cutting-edge technologies, addressing the growing industry demand for professionals who can leverage data to drive innovation.

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By enrolling in this course, learners will gain a deep understanding of decision science, machine learning, artificial intelligence, and predictive analytics, all of which are critical components of next-generation mobility systems. They will also learn how to apply these concepts to real-world mobility challenges, such as traffic management, transportation planning, and autonomous vehicle technology. With a focus on hands-on learning and practical application, this course is an excellent opportunity for learners to upskill and enhance their career prospects in a rapidly growing field. By the end of the course, learners will have a portfolio of projects to showcase their skills and expertise to potential employers.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Advanced Machine Learning Algorithms in Mobility Decision Science  
โ€ข Big Data Analytics for Next-Gen Mobility Solutions  
โ€ข Predictive Modeling in Intelligent Transportation Systems  
โ€ข Optimization Techniques in Autonomous Vehicle Routing  
โ€ข Data Visualization and Interpretation for Mobility Decision Making  
โ€ข Multi-Agent Systems and Swarm Intelligence in Next-Gen Mobility  
โ€ข Internet of Things (IoT) and Edge Computing for Next-Gen Mobility  
โ€ข Reinforcement Learning and Control in Autonomous Mobility Systems  
โ€ข Natural Language Processing (NLP) and Conversational AI in Mobility Services  

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The Advanced Certificate in Next-Gen Mobility: Decision Science program prepares professionals to excel in the rapidly evolving landscape of future mobility. Students will dive into autonomous and electric vehicle engineering, Mobility as a Service (MaaS), battery technology, and connected vehicle expertise. *Autonomous Vehicle Engineer (25%):* Master the art of self-driving cars, integrating AI, machine learning, sensor technology, and control systems for safe and efficient transportation. *Electric Vehicle Engineer (30%):* Lead the charge in designing and optimizing electric vehicles, focusing on battery technology, power electronics, and sustainable energy solutions. *Mobility as a Service Specialist (20%):* Transform urban mobility with shared, on-demand, and connected transportation services, reducing congestion and emissions while improving quality of life. *Battery Technologist (15%):* Push the boundaries of energy storage with advanced materials, chemistries, and manufacturing techniques, driving innovation in electric vehicles, renewable energy systems, and grid-scale storage. *Connected Vehicle Expert (10%):* Enable seamless communication between vehicles, infrastructure, and personal devices, enhancing safety, efficiency, and convenience in next-gen transportation.

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
ADVANCED CERTIFICATE IN NEXT-GEN MOBILITY: DECISION SCIENCE
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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