Certified Specialist Programme in Mobility as a Service: Autonomous Innovations
-- viewing now**Mobility as a Service (MaaS)** is revolutionizing the way we think about transportation. This Certified Specialist Programme in MaaS: Autonomous Innovations is designed for professionals who want to stay ahead of the curve.
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About this course
Learn how MaaS is transforming urban mobility, enabling seamless travel experiences, and reducing carbon emissions. This programme explores the latest autonomous innovations and their applications in MaaS.
Discover how to design and implement MaaS solutions that integrate public, private, and shared transportation services. Gain insights into the business models, technical requirements, and regulatory frameworks that support MaaS.
Join our community of mobility experts and take the first step towards becoming a certified MaaS specialist. Explore the programme's course materials, and start your journey towards shaping the future of urban mobility.
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Course details
• Mobility as a Service (MaaS) Business Model
This unit covers the fundamental principles of MaaS, including its definition, benefits, and key components such as shared mobility, on-demand transportation, and integrated services. It also explores the various business models and revenue streams associated with MaaS. • Autonomous Vehicle Technology
This unit delves into the latest advancements in autonomous vehicle technology, including sensor systems, machine learning algorithms, and software frameworks. It also examines the regulatory frameworks and safety standards that govern the development and deployment of autonomous vehicles. • Smart Mobility Infrastructure
This unit focuses on the essential infrastructure required to support MaaS, including intelligent transportation systems, data analytics platforms, and cybersecurity measures. It also explores the role of 5G networks and edge computing in enabling seamless mobility services. • Mobility Data Analytics
This unit covers the collection, analysis, and interpretation of mobility data, including passenger behavior, traffic patterns, and vehicle performance metrics. It also examines the use of data analytics in optimizing mobility services and improving the overall passenger experience. • Mobility as a Service Platforms
This unit explores the various platforms and tools used to develop and deploy MaaS services, including mobility-as-a-service platforms, transportation management systems, and passenger information systems. It also examines the role of APIs and data sharing in enabling interoperability between different mobility services. • Sustainable Mobility Solutions
This unit focuses on the environmental and social impacts of mobility services, including greenhouse gas emissions, air pollution, and social equity. It also explores sustainable mobility solutions such as electric vehicles, car-sharing, and bike-sharing. • Mobility and Urban Planning
This unit examines the relationship between mobility services and urban planning, including the impact of mobility on urban form, land use, and transportation networks. It also explores strategies for integrating mobility services into urban planning and policy-making. • Cybersecurity in Mobility
This unit covers the cybersecurity risks and threats associated with mobility services, including data breaches, hacking, and cyber-physical attacks. It also examines the measures that can be taken to protect mobility services and ensure the security of passenger data. • Mobility and Accessibility
This unit focuses on the importance of accessibility in mobility services, including the needs of passengers with disabilities, elderly passengers, and passengers with limited mobility. It also explores strategies for improving accessibility in mobility services and promoting inclusive mobility.
This unit covers the fundamental principles of MaaS, including its definition, benefits, and key components such as shared mobility, on-demand transportation, and integrated services. It also explores the various business models and revenue streams associated with MaaS. • Autonomous Vehicle Technology
This unit delves into the latest advancements in autonomous vehicle technology, including sensor systems, machine learning algorithms, and software frameworks. It also examines the regulatory frameworks and safety standards that govern the development and deployment of autonomous vehicles. • Smart Mobility Infrastructure
This unit focuses on the essential infrastructure required to support MaaS, including intelligent transportation systems, data analytics platforms, and cybersecurity measures. It also explores the role of 5G networks and edge computing in enabling seamless mobility services. • Mobility Data Analytics
This unit covers the collection, analysis, and interpretation of mobility data, including passenger behavior, traffic patterns, and vehicle performance metrics. It also examines the use of data analytics in optimizing mobility services and improving the overall passenger experience. • Mobility as a Service Platforms
This unit explores the various platforms and tools used to develop and deploy MaaS services, including mobility-as-a-service platforms, transportation management systems, and passenger information systems. It also examines the role of APIs and data sharing in enabling interoperability between different mobility services. • Sustainable Mobility Solutions
This unit focuses on the environmental and social impacts of mobility services, including greenhouse gas emissions, air pollution, and social equity. It also explores sustainable mobility solutions such as electric vehicles, car-sharing, and bike-sharing. • Mobility and Urban Planning
This unit examines the relationship between mobility services and urban planning, including the impact of mobility on urban form, land use, and transportation networks. It also explores strategies for integrating mobility services into urban planning and policy-making. • Cybersecurity in Mobility
This unit covers the cybersecurity risks and threats associated with mobility services, including data breaches, hacking, and cyber-physical attacks. It also examines the measures that can be taken to protect mobility services and ensure the security of passenger data. • Mobility and Accessibility
This unit focuses on the importance of accessibility in mobility services, including the needs of passengers with disabilities, elderly passengers, and passengers with limited mobility. It also explores strategies for improving accessibility in mobility services and promoting inclusive mobility.
Career path
Job Market Trends:
Salary Ranges:
Skill Demand:
| Role | Description |
|---|---|
| Mobility Data Analyst | Analyst responsible for collecting, processing, and interpreting mobility data to inform MaaS strategies. |
| Autonomous Vehicle Engineer | Designs, develops, and tests autonomous vehicle systems, ensuring safety and efficiency. |
| Electric Vehicle Charging Infrastructure Manager | Oversees the installation, maintenance, and management of EV charging infrastructure. |
| Shared Mobility Platform Developer | Develops and maintains software platforms for shared mobility services, such as car-sharing and bike-sharing. |
| Ride-hailing Operations Manager | Manages the day-to-day operations of a ride-hailing service, including driver management and customer support. |
| Role | Salary Range (£) |
|---|---|
| Mobility Data Analyst | 40,000 - 60,000 |
| Autonomous Vehicle Engineer | 60,000 - 90,000 |
| Electric Vehicle Charging Infrastructure Manager | 50,000 - 80,000 |
| Shared Mobility Platform Developer | 40,000 - 70,000 |
| Ride-hailing Operations Manager | 50,000 - 80,000 |
| Role | Required Skills |
|---|---|
| Mobility Data Analyst | Data analysis, statistics, data visualization, SQL |
| Autonomous Vehicle Engineer | Computer vision, machine learning, software development, robotics |
| Electric Vehicle Charging Infrastructure Manager | Project management, electrical engineering, business management, communication |
| Shared Mobility Platform Developer | Software development, data analysis, cloud computing, cybersecurity |
| Ride-hailing Operations Manager | Project management, customer service, marketing, finance |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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CERTIFIED SPECIALIST PROGRAMME IN MOBILITY AS A SERVICE: AUTONOMOUS INNOVATIONS
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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