Mobility Platforms as a Service (MaaS) Course
About our
The Mobility as a Service (MaaS) Platforms Course explores the creation and integration of multimodal transportation systems under the MaaS concept. It covers the study of mobile applications, route planning, and payment management, using technologies such as Artificial Intelligence (AI), Big Data, and 5G connectivity to optimize transportation efficiency and accessibility. It focuses on the user experience and the development of sustainable business models for urban and rural mobility, considering regulatory and safety aspects.
The program provides tools for mobility data analysis, scenario simulation, and the implementation of MaaS solutions through integrated platforms. Real-world case studies and the latest trends in autonomous vehicles, electrification of transport, and sustainable mobility policies are examined. This training prepares students for professional roles such as MaaS managers, mobility application developers, transport data analysts, and urban mobility consultants.
Mobility Platforms as a Service (MaaS) Course
- Format: Online
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
780 $
Competencies and results
What you will learn
1. Strategic Domain of MaaS Platforms: Foundations and Future
- Understand the evolution and impact of MaaS (Mobility as a Service) platforms.
- Identify the key elements of MaaS infrastructure: public transport, car sharing, and micromobility.
- Analyze business models and monetization strategies in MaaS.
- Evaluate the role of technology in the integration and optimization of MaaS services.
- Explore the regulatory framework and legal challenges facing MaaS implementation.
- Forecasting future trends and the growth potential of the MaaS market.
- Design customized MaaS solutions for different urban environments and mobility needs.
- Evaluate the impact of MaaS on environmental sustainability and emissions reduction.
- Analyze the role of data in the personalization and continuous improvement of MaaS services.
- Learn about MaaS implementation strategies and best practices for its adoption.
2. Optimization of MaaS Platforms: Analysis and Profitability
Here is the content you requested, based on the title “MaaS Platform Optimization: Analysis and Profitability,” with the specified structure and format:
What you will learn:
Evaluate the impact of optimization on the profitability of MaaS platforms.
Identify and apply key KPIs for performance and efficiency analysis.
Analyze MaaS business models and monetization strategies.
Implement data analysis techniques for evidence-based decision-making.
Evaluate and optimize the user experience (UX) and usability of the platform.
Understand the regulatory framework and security considerations in MaaS.
Develop strategies for the scalability and sustainability of MaaS platforms.
Analyze the market and competition in the MaaS sector.
Apply simulation and modeling methods to predict platform performance.
Optimize the integration of different modes of transport and services.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. Integration and Management of MaaS Platforms: Conceptual Framework and Applications
- Understand the conceptual framework of MaaS (Mobility as a Service) platforms.
- Identify the key components of a MaaS platform: public transport, shared mobility services, trip planning, integrated payment.
- Analyze the different architectures of MaaS platforms and their interrelationships.
- Explore the practical applications of MaaS in diverse contexts: urban, rural, tourism.
- Evaluate the benefits and challenges of implementing MaaS platforms.
- Examine the role of technology in the development and management of MaaS: mobile applications, data analytics, artificial intelligence.
- Study business models and monetization strategies in MaaS.
- Investigate the legal and regulatory implications of MaaS platforms.
- Analyze the impact of MaaS on urban mobility, sustainability, and the user experience.
user.
Explore case studies of successful MaaS platforms and lessons learned.
5. MaaS Platform Strategies: Implementation and Sustainability
5. **MaaS Platform Strategies: Implementation and Sustainability**
- Understand the fundamentals of MaaS (Mobility as a Service) platforms and their impact on urban mobility.
- Analyze business models and monetization strategies applicable to MaaS platforms.
- Evaluate the integration of different modes of transport (public transport, shared vehicles, micromobility) in a MaaS platform.
- Design the user experience (UX) and user interface (UI) for an effective and engaging MaaS platform.
- Implement marketing and communication strategies for the launch and promotion of MaaS platforms.
- Manage data and performance analysis to optimize the operation and growth of the MaaS platform.
- Explore legal and regulatory aspects related to the operation of MaaS platforms.
- Analyze the environmental and social impact of MaaS platforms, including sustainability and emissions reduction.
- Develop strategies for collaboration and partnership with key stakeholders in the MaaS ecosystem (transport operators, public authorities, technology companies).
- Create a long-term sustainability plan for a MaaS platform, considering economic, environmental, and social aspects.
6. Analysis and Design of MaaS Platforms: Innovation and Efficiency
Here is the requested content:
6. Analysis and Design of MaaS Platforms: Innovation and Efficiency
- Understand and evaluate the key components of MaaS platforms, including Mobility as a Service, transport integration, data management, and user experience.
- Analyze the architecture of MaaS systems, from the technological infrastructure to business models and governance.
- Design efficient and scalable MaaS platforms, considering route optimization, fleet management, and the integration of multiple service providers.
- Apply modeling and simulation techniques to predict the performance and viability of MaaS platforms.
- Explore the latest trends in MaaS technology, such as artificial intelligence, the Internet of Things (IoT), and autonomous vehicles.
- Evaluate the social, economic, and environmental impact of MaaS platforms, including accessibility, sustainability, and reducing the Congestion.
Identify and mitigate the risks associated with the implementation of MaaS platforms, such as data privacy, cybersecurity, and regulation.
Develop implementation and deployment strategies for MaaS platforms, considering technical, operational, and commercial aspects.
Who this program is for:
Mobility Platforms as a Service (MaaS) Course
- Engineers with degrees in Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation Engineering, or related fields.
- Active professionals from rotorcraft/eVTOL OEMs, MRO personnel, consultants, and researchers from technology centers.
- Specialists in Flight Testing, aircraft certification, avionics, control systems, and flight dynamics who wish to delve deeper into MaaS.
- Personnel from aeronautical regulators/authorities and professionals involved in projects in UAM/eVTOL that require knowledge of compliance and regulations.
Recommended Requirements: Basic knowledge of aerodynamics, control, and structures. Spanish/English B2+/C1 level. If necessary, bridging tracks will be provided.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
1.1 Key Concepts and Evolution of MaaS
1.2 Business Models in MaaS: Exploring Opportunities
1.3 Impact of MaaS on Urban Mobility
1.4 Enabling Technologies: Big Data, IoT, and Connectivity
1.5 The Future of Transportation: MaaS Trends and Predictions
1.6 Regulatory and Policy Framework for MaaS
1.7 Challenges and Barriers to MaaS Adoption
1.8 The Role of Sustainability in MaaS
1.9 Success Stories and Case Studies in MaaS
1.10 The Role of MaaS in Smart and Sustainable Cities
2.2 Market Analysis and Business Opportunities in MaaS
2.2 Key KPIs and Metrics for Profitability Analysis
2.3 Financial Modeling and Revenue Projections in MaaS
2.4 Costs Associated with Operating MaaS Platforms
2.5 Pricing Strategies and Subscription Models
2.6 Competitive Analysis and Market Positioning
2.7 Route Optimization and Resource Allocation to Maximize Profitability
2.8 Data Analysis and Report Generation for Decision-Making
2.9 Return on Investment (ROI) Evaluation in MaaS Projects
2.20 Case Studies of Successful MaaS Platforms and Their Profitability
3.3 MaaS Fundamentals: Key Concepts and Business Models
3.2 The Future of Mobility as a Service: Trends and Challenges
3.3 MaaS Platforms: Types and Functionalities
3.4 Key Players in the MaaS Ecosystem: Operators and Providers
3.5 Impact of MaaS on Urban Transport and Sustainability
3.6 Regulatory Framework and Public Policies for MaaS
3.7 Analysis of Success and Failure Cases in MaaS
3.8 Enabling Technologies for MaaS: Big Data, IoT, AI
3.9 Marketing and Communication Strategies for MaaS Platforms
3.30 The User’s Role in the Evolution of MaaS
2.3 Data Analysis for MaaS Platform Optimization
2.2 Pricing Strategies and Revenue Models in MaaS
2.3 Route Optimization and Trip Planning in MaaS
2.4 Supply and Demand Management in MaaS
2.5 User Experience (UX) and Interface Design in MaaS
2.6 Customer Loyalty and Retention Strategies in MaaS
2.7 Measuring and Monitoring Key Performance Indicators (KPIs)
2.8 Profitability Analysis and Return on Investment (ROI) in MaaS
2.9 Scalability and Growth of the MaaS Platform
2.30 Case Studies: Optimizing Successful MaaS Platforms
3.3 Designing the Architecture of a MaaS Platform
3.2 Key Components of a MaaS Platform: APIs, Databases
3.3 Horizontal and Vertical Scalability in MaaS Platforms
3.4 Security and Data Protection in MaaS Platforms
3.5 Integrating Payment and Financial Management Systems
3.6 Identity and Access Management (IAM) in MaaS Platforms
3.7 Implementing Microservices and Distributed Architectures
3.8 Monitoring and Managing the Performance of the MaaS Platform
3.9 Design for Resilience and High Availability
3.30 Design Considerations for Interoperability
4.3 Conceptual Framework for MaaS Platform Integration
4.2 Interoperability Standards and Protocols in MaaS
4.3 Integration of Different Modes of Transport: Public and Private
4.4 Integration with Transportation Information Systems (ITS)
4.5 Data Management and Analytics in MaaS Platforms
4.6 User and Profile Management in MaaS Platforms
4.7 Integration of Reservation and Payment Systems
4.8 Integration with Third-Party Applications and Services
4.9 Service Quality Management and Customer Support
4.30 Case Studies of Integration in MaaS Platforms
5.3 MaaS Platform Implementation Strategies
5.2 MaaS Project Planning and Management
5.3 Software Development and Testing in MaaS Platforms
5.4 Implementation of Application Programming Interfaces (APIs)
5.3 5.5 Launch and Deployment Strategies for MaaS Platforms
5.6 Post-Launch Performance Monitoring and Evaluation
5.7 Economic and Financial Sustainability of MaaS Platforms
5.8 Environmental and Social Sustainability in MaaS
5.9 Sustainable Business Models for MaaS Platforms
5.30 Risk Assessment and Mitigation in MaaS Projects
6.3 Analysis and Design Methodologies for MaaS Platforms
6.2 Requirements Gathering and Analysis in MaaS Projects
6.3 User Experience (UX) and User Interface (UI) Design
6.4 Information Architecture Design in MaaS
6.5 Data Modeling and Database Design
6.6 Workflow and Process Design in MaaS
6.7 Prototyping and Usability Testing in MaaS Platforms
6.8 Design for Accessibility and Inclusion
6.9 Innovation and Trends in Design of MaaS platforms
6.30 Analysis of success and failure cases in MaaS design
7.3 Agile development methodologies for MaaS platforms
7.2 Selection of technologies and development tools
7.3 Development of APIs and microservices
7.4 Continuous integration and continuous deployment (CI/CD)
7.5 Unit, integration, and functional testing on MaaS platforms
7.6 Development of mobile and web applications for MaaS
7.7 Version control and source code control
7.8 Documentation and technical documentation
7.9 Implementation of security measures in development
7.30 Collaborative development and development team management
8.3 Interoperability and open standards in the MaaS ecosystem
8.2 The role of open data and transparency in MaaS
8.3 User experience (UX) in the MaaS ecosystem
8.4 Design of intuitive and accessible interfaces
8.5 Customization and adaptation of MaaS services
8.6 Integration of value-added services: mobility, leisure
8.7 The future of user experience in MaaS
8.8 Challenges and opportunities of the MaaS ecosystem
8.9 Case studies of successful MaaS ecosystems
8.30 The role of community and citizen participation in MaaS
4.4 Key Concepts and Fundamental Definitions
4.2 Business Models and Opportunities
4.3 Legal and Regulatory Framework
4.4 Interoperability Standards and Protocols
4.5 Systems Architecture and Components
4.6 Data Integration and Information Management
4.7 Practical Applications and Case Studies
4.8 Management Tools and Technologies
4.9 Implementation Challenges and Solutions
4.40 Future Trends and Framework Evolution
5.5 Key Concepts of MaaS: Definition and Scope
5.5 Evolution of MaaS: Trends and Business Models
5.3 Key Players in the MaaS Ecosystem
5.4 Benefits and Challenges of Mobility as a Service
5.5 Enabling Technologies of MaaS: IoT, Big Data, and AI
5.6 Regulatory and Policy Framework of MaaS
5.7 Impact of MaaS on Urban Planning
5.8 Case Studies: Global MaaS Implementations
5.9 The Future of MaaS: Predictions and Potential
5.50 MaaS and Sustainability: Environmental and Social Impact
5.5 Market Analysis and Demand for MaaS
5.5 Revenue Models and Monetization in MaaS
5.3 Pricing and Discount Strategies
5.4 Key Performance Indicators (KPIs) for MaaS
5.5 Operational and Development Costs of MaaS Platforms
5.6 Route and Fleet Optimization in MaaS
5.7 Cost-Benefit Analysis of Investments in MaaS
5.8 Financial Risk Management in MaaS Projects
5.9 Customer Loyalty Strategies in MaaS
5.50 Benchmarking and Best Practices in MaaS Profitability
3.5 System Architecture of MaaS Platforms
3.5 User Interface (UI) and User Experience (UX) Design
3.3 Database Design for MaaS Platforms
3.4 Development of APIs and Web Services in MaaS
3.5 Horizontal and Vertical Scalability of MaaS Platforms
3.6 Security and Data Protection in MaaS Platforms
3.7 Integration with Payment and Billing Systems
3.8 Tools for Performance Monitoring and Management
3.9 Design for Interoperability and Connectivity
3.50 Selection of Technologies and Platforms for MaaS
4.5 Conceptual Framework for MaaS Platform Management
4.5 Interoperability Standards and Protocols
4.3 Integration with Public Transportation Systems
4.4 Integration with Private Transportation Services
4.5 Data Management and Analytics in MaaS
4.6 User Experience Management and Customer Service
4.7 Crisis and Contingency Management in MaaS
4.8 Legal Framework and Regulatory Compliance in MaaS
4.9 Specific MaaS Applications: Tourism, Logistics
4.50 Integration of MaaS in Smart Cities
5.5 MaaS Launch and Promotion Strategies
5.5 Sustainable Business Models for MaaS
5.3 Financing and Grants for Projects MaaS
5.4 Sustainability Indicators in MaaS
5.5 Environmental and Social Impact of MaaS Platforms
5.6 Supply Chain Management in MaaS
5.7 Corporate Social Responsibility (CSR) in MaaS
5.8 Sustainable Mobility Policies in Cities
5.9 Climate Change Adaptation in MaaS
5.50 Evaluation and Measurement of the Impact of Sustainability in MaaS
6.5 Innovation Trends in Mobility
6.5 Artificial Intelligence and Machine Learning in MaaS
6.3 Blockchain and Cryptocurrencies in MaaS
6.4 Autonomous and Connected Vehicles in MaaS
6.5 Augmented Reality and Virtual Reality in MaaS
6.6 User-Centered Design and Immersive Experience
6.7 Innovation in Business Models and Monetization
6.8 Strategies to Foster Innovation in MaaS
6.9 Energy Efficiency and Sustainability in MaaS
6.50 Analysis of Success Stories in MaaS Innovation
7.5 Selection of Development Tools and Technologies
7.5 Mobile Application Development for MaaS
7.3 Backend and API Development for MaaS
7.4 Integration with Existing Transportation Systems
7.5 Testing and Validation of MaaS Platforms
7.6 Deployment and Maintenance of MaaS Platforms
7.7 Version Management and Software Updates
7.8 Integration with Third-Party Systems
7.9 Security and Data Protection in Development
7.50 Agile Methodologies in MaaS Development
8.5 User-Centered Design (UCD) in MaaS
8.5 User Experience Research and Evaluation
8.3 Design User Interface (UI) for MaaS
8.4 User Experience (UX) Design for MaaS
8.5 Accessibility and Inclusive Design in MaaS
8.6 Interoperability and Connectivity in the MaaS Ecosystem
8.7 Business Models and Collaboration in the MaaS Ecosystem
8.8 Benefits and Challenges of Interoperability in MaaS
8.9 Strategies for Expanding the MaaS Ecosystem
8.50 The Future of the MaaS Ecosystem and its Impact on Mobility
6.6 MaaS Route Design and Optimization: Intelligent Algorithms and Predictive Analytics
6.2 User-Centric MaaS Platforms: Personalization and Adaptability
6.3 Big Data and Advanced Analytics: Personalization, Demand Optimization, and Flow Prediction
6.4 Innovative Business Models: Sustainability and Growth
6.5 User Experience (UX) Design: Seamless and Intuitive Travel Experiences
6.6 Monetization Strategies: Revenue Diversification and Subscription Models
6.7 MaaS as a Catalyst for Sustainable Mobility: Emission and Congestion Reduction
6.8 Artificial Intelligence (AI) in MaaS: Automation, Optimization, and Decision-Making
6.9 Smart Cities and MaaS: Integration of Services and Urban Ecosystems
6.60 Case Studies: Analysis of Successful MaaS Platforms and Lessons Learned
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
Admissions, fees, and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us, and we will respond as soon as possible.
F. A. Q
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).