PLM course applied to aerospace
About our
The PLM Applied to Aerospace course focuses on the implementation and optimization of Product Lifecycle Management (PLM) systems within the aerospace industry. It covers everything from the initial planning and design to the manufacturing, maintenance, and recycling of aerospace products, integrating tools and methodologies to efficiently manage data, processes, and resources.
The course covers the use of specialized software for CAD/CAM/CAE data management, collaboration among multidisciplinary teams, component traceability, and change management.
industry standards are explored, and continuous improvement and innovation are encouraged in the development of aerospace products, including adaptation to specific regulations and standards.
PLM course applied to aerospace
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
380 $
Competencies and results
What you will learn
1. PLM Mastery in Aerospace: Efficient Design and Manufacturing
- Understand the integration of PLM in the aerospace product lifecycle.
- Apply design methodologies for the optimization of structures and components.
- Use PLM tools for data management and collaboration in multidisciplinary teams.
- Master advanced manufacturing processes, including additive manufacturing.
- Analyze flap-lag-torsion, whirl flutter, and fatigue couplings.
- Dimension laminates in composites, joints, and bonded joints using FE.
- Implement damage tolerance and NDT (UT/RT/thermography).
- Manage product configuration and change control in the environment PLM.
Apply aerospace industry quality standards and regulations.
Optimize the supply chain and logistics in the aerospace industry.
2. Optimizing the Aerospace Product Life Cycle with PLM: Innovation and Competitiveness
Here is the requested content, focused on optimizing the aerospace product lifecycle with PLM:
Master PLM methodologies for comprehensive product lifecycle management, from conception to retirement.
Use specialized PLM software for data management, collaboration, and version control in aerospace projects.
Apply design-to-manufacturing (DFM) and design-to-assembly (DFA) techniques optimized for aerospace production.
Integrate simulation analysis (FEA, CFD) within the PLM workflow for early design optimization and reduction of physical prototypes.
Manage product configuration (CM) and ensure complete traceability of changes in design, manufacturing, and maintenance.
Implement risk management strategies to mitigate technical, financial, and regulatory compliance risks in projects. Aerospace.
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. Aerospace PLM: Transforming Product Development
4. Aerospace PLM: Transforming Product Development
- Master the simulation and analysis of critical aerodynamic phenomena: flap-lag-torsion couplings, the dangerous whirl flutter, and the fatigue behavior of materials.
- Acquire the ability to dimension structural components, including the design of complex laminates in composites, as well as the detailed analysis of joints and bonded joints using finite element (FE) methods.
- Delve into advanced design methodologies, such as the implementation of damage tolerance, and the application of non-destructive testing (NDT) techniques, including UT/RT/thermography, to ensure the structural integrity and reliability of components.
5. Aerospace PLM: Integrated Design, Simulation and Manufacturing
- Master PLM tools for comprehensive lifecycle management of aerospace products.
- Apply generative design principles and topology optimization to component design.
- Simulate the behavior of aeronautical structures under static, dynamic, and thermal loads using CAE software.
- Perform finite element analysis (FEA) to validate designs and predict failures.
- Understand additive manufacturing processes and their application in the production of aerospace parts.
- Use computational flow simulation (CFD) techniques to analyze the aerodynamic performance of aircraft.
- Manage the configuration and version control of CAD/CAM/CAE models within the PLM environment.
- Analyze flap-lag-torsion and whirl couplings Flutter and fatigue.
Dimension laminates in composites, joints, and bonded joints with FE.
Implement damage tolerance and NDT (UT/RT/thermography).
Integrate data from different disciplines (design, analysis, manufacturing) into a centralized information model.
Collaborate effectively with multidisciplinary teams in the development of aerospace projects.
Apply aerospace industry standards and norms in product design and manufacturing.
Optimize manufacturing processes to reduce costs and improve efficiency.
Use PLM for supply chain and logistics management.
Analyze and manage the complete lifecycle of an aerospace product from the design through dismantling.
6. Aerospace PLM: Advanced Lifecycle Management and Process Optimization
- Master the fundamentals of Product Lifecycle Management (PLM) applied to the aerospace industry.
- Understand the structure and key phases of PLM in the aerospace context, from conceptual design to end-of-life.
- Learn to use specific PLM tools and software for data management, collaboration, and version control.
- Manage the configuration of aerospace products, including the definition of components, subassemblies, and structures.
- Optimize design, manufacturing, maintenance, and repair (MRO) processes using PLM.
- Apply optimization methodologies to reduce costs, improve efficiency, and accelerate time to market for aerospace products.
- Analyze and manage risks associated with the product lifecycle, including safety, reliability, and obsolescence.
- Implement effective collaboration and communication strategies among the different teams and departments involved in the product lifecycle.
- Use PLM to comply with regulatory requirements and aerospace industry standards.
- Explore current and future trends in aerospace PLM, including digitalization, artificial intelligence, and the Internet of Things (IoT).
Who this program is for:
PLM course applied to aerospace
- Graduates in Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation Engineering, or related fields.
- Professionals in OEM rotorcraft/eVTOL, MRO, consulting, and technology centers.
- Flight Testing, certification, avionics, control, and dynamics seeking specialization.
- Regulators/authorities and UAM/eVTOL professionals requiring compliance skills.
Recommended requirements: foundation in aerodynamics and control and structures; ES/EN B2+/C1. We offer bridging tracks if you need them.
- 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.
2.1 Conceptual Design and Product Requirements
2.2 System Architecture and 3D Modeling
2.3 Configuration Management and Version Control
2.4 Design Analysis and Simulation
2.5 Manufacturing Planning and Production Management
2.6 Collaboration and Communication in Distributed Teams
2.7 Product Data and Documentation Management
2.8 Integration with CAD/CAM/CAE Systems
2.9 Product Lifecycle Optimization
2.10 Risk Analysis and Change Management
3.1 Integration of PLM Systems with CAD/CAM/CAE
3.2 Customized Workflows for Aerospace Engineering
3.3 Engineering Data and Documentation Management
3.4 Process and Workflow Automation
3.5 Real-Time Collaboration and Change Management
3.6 Configuration Control and Version Management
3.7 Interoperability with suppliers and partners.
3.8 Impact analysis and risk management.
3.9 PLM implementation and optimization.
3.10 Continuous improvement and engineering excellence.
4.1 Introduction to PLM in aerospace product development.
4.2 Product design and development with PLM.
4.3 Product data and document management.
4.4 Team collaboration and communication.
4.5 Product lifecycle management.
4.6 PLM system integration.
4.7 Configuration control and change management.
4.8 Design analysis and simulation.
4.9 Supplier and supply chain management.
4.10 Innovation and digital transformation.
5.1 Advanced 3D design and modeling for aerospace components.
5.2 Structural and fluid analysis simulation. 5.3 Computer-Aided Manufacturing (CAM).
5.4 CAD/CAM/CAE and PLM Integration.
5.5 Design for Manufacturing (DFM).
5.6 Manufacturing Data Management and Quality Control.
5.7 Additive Manufacturing and Rapid Prototyping.
5.8 Manufacturing Process Optimization.
5.9 Simulation-Based Design.
5.10 Integrated Workflow and Production Efficiency.
6.1 Product Lifecycle Management (PLM) in the Aerospace Sector.
6.2 Configuration Management and Change Control.
6.3 Engineering and Manufacturing Process Optimization.
6.4 Product Data and Document Management.
6.5 Data Analysis and Decision Making.
6.6 Integration of PLM Systems with Other Tools.
6.7 Workflow Automation. 6.8 Collaboration and communication in distributed teams.
6.9 Supply chain management.
6.10 Continuous improvement and process optimization.
7.1 3D modeling and simulation of aerospace components.
7.2 Structural and fluid analysis simulation.
7.3 Design optimization using simulation tools.
7.4 Generative design for the aerospace sector.
7.5 Performance analysis and model validation.
7.6 Integration of simulation data into PLM.
7.7 Systems modeling and scenario simulation.
7.8 Value chain optimization.
7.9 Risk analysis and decision-making.
7.10 Computer-aided design and manufacturing (CAD/CAM).
8.1 Data collection and analysis in aeronautical design.
8.2 Engineering data management and documentation. 8.3 Performance analysis and model validation.
8.4 Data-driven design and optimization.
8.5 Flight data simulation and analysis.
8.6 Configuration management and change control.
8.7 Integration of data from different sources.
8.8 Data visualization and analysis.
8.9 Data-driven decision making.
8.10 Continuous improvement and design optimization.
2.2 Introduction to the Aerospace Life Cycle and PLM
2.2 Phases of the Aerospace Product Life Cycle
2.3 Integrating PLM into the Life Cycle
2.4 Conceptual Design and PLM
2.5 Detailed Design and PLM
2.6 Manufacturing and PLM
2.7 Operation and Maintenance with PLM
2.8 Retirement and Recycling: Closing the Cycle with PLM
2.9 Continuous Improvement and Cycle Optimization with PLM
2.20 Case Studies: Applying PLM in the Life Cycle
3.3 Introduction to PLM in the Aerospace Sector
3.2 Fundamentals of Aerospace Product Design
3.3 3D Modeling and Advanced CAD
3.4 Design for Manufacturing (DFM) in Aerospace
3.5 Material Selection and Manufacturing Processes
3.6 Integration of Product Data Management (PDM) Systems
3.7 Collaborative Design and Manufacturing
3.8 Configuration Management and Change Control
3.9 Automation of Design and Manufacturing Processes
3.30 Case Studies: Successful PLM Implementation
2.3 Introduction to the Aerospace Product Lifecycle
2.2 Lifecycle Phases: Design, Development, Manufacturing, Maintenance
2.3 Optimization Strategies in Each Phase
2.4 Quality Management and Regulatory Compliance
2.5 Lifecycle Value Analysis (LCVA)
2.6 Sustainability and Eco-Design
2.7 Cost Reduction and Optimization 2.8 Knowledge Management and Organizational Learning
2.9 Best Practices in Lifecycle Management
2.30 Case Studies: Lifecycle Optimization with PLM
3.3 Introduction to Workflows in Aerospace Engineering
3.2 Integration of Tools and Systems
3.3 Automation of Tasks and Processes
3.4 Data and Documentation Management
3.5 Collaboration Between Teams and Departments
3.6 Version Control and Change Management
3.7 Quality Assurance and Regulatory Compliance
3.8 Designing Custom Workflows
3.9 Implementing and Managing Workflows in PLM
3.30 Success Stories: Optimized Workflows
4.3 The Role of PLM in Transforming Product Development
4.2 Adopting Agile and DevOps Methodologies
4.3 Requirements and Specification Management
4.4 Integrating Simulation and Analysis Systems
4.5 Model-Based Design (MBD)
4.6 Innovation Management and New Product Development
4.7 Process Digitization and Use of Digital Twins
4.8 Implementation Strategies and Adaptation to Change
4.9 Measuring Return on Investment (ROI) in PLM
4.30 Transformation Examples: PLM Implementation
5.3 Integration of Design, Simulation, and Manufacturing
5.2 Computer-Aided Design (CAD) and Computer-Aided Simulation (CAE)
5.3 Computer-Aided Manufacturing (CAM) and Additive Manufacturing
5.4 Design for Additive Manufacturing (DFAM)
5.5 Manufacturing Data Management and Traceability
5.6 Integration of Simulation and Validation Systems
5.7 Design Optimization for Manufacturing
5.8 Manufacturing Process Simulation
5.9 Supply Chain Management
5.30 Case Studies: Integrated Design, Simulation, and Manufacturing
6.3 Advanced Product Lifecycle Management (PLM)
6.2 Process Optimization in PLM
6.3 Change Management and Complex Configurations
6.4 Supply Chain Management (SCM)
6.5 Integration of ERP and PLM Systems
6.6 Data Analysis and Business Intelligence
6.7 Continuous Process Improvement
6.8 Quality Management and Regulatory Compliance
6.9 Cost Optimization Strategies
6.30 Case Studies: Advanced Management and Process Optimization
7.3 Advanced 3D Modeling for the Aerospace Sector
7.2 Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD)
7.3 Structural Analysis and Flight Performance
7.4 Design Optimization and Parametric Design
7.5 Generative Design and Additive Manufacturing
7.6 Manufacturing Process Simulation
7.7 Risk and Reliability Analysis
7.8 Design Validation and Verification
7.9 Integration of Models and Simulation in PLM
7.30 Applications in The Aerospace Industry
8.3 Introduction to Data Analysis and Management in Aeronautical Design
8.2 Data Sources in Aeronautical Design
8.3 Data Cleaning, Transformation, and Preparation
8.4 Descriptive and Exploratory Data Analysis
8.5 Data Visualization and Dashboards
8.6 Predictive Modeling and Trend Analysis
8.7 Artificial Intelligence and Machine Learning
8.8 Data Quality Management
8.9 Applications of Data Analysis in Design
8.30 Case Study: Data Analysis for Decision Making
4.4 Conceptual Design and Systems Architecture
4.2 Material Selection and Manufacturing Processes
4.3 3D Modeling and Configuration Management
4.4 Simulation and Performance Analysis
4.5 Design Validation and Verification
4.6 Design Data Management and Documentation
4.7 Integration with Product Lifecycle Management (PLM) Systems
4.8 Design Collaboration and Communication
4.9 Design for Manufacturing and Assembly (DFMA)
4.40 Sustainability and Product Lifecycle
5.5 PLM Fundamentals and its Application in the Aerospace Industry
5.5 Aerospace Product Design with PLM Software: 3D Modeling and Data Management
5.3 Efficient Manufacturing: Integrating PLM with Production Systems
5.4 Configuration Management and Change Control in Design and Manufacturing
5.5 Collaboration and Communication in PLM Environments: Multidisciplinary Teams
5.6 Quality Assurance and Regulatory Compliance through PLM
5.7 Supply Chain Optimization and Supplier Management with PLM
5.8 Process Digitization and Digital Transformation in Aerospace Manufacturing
5.9 Case Studies: PLM Implementation in Aerospace Companies
5.50 Future Trends in PLM for Design and Manufacturing
5.5 Introduction to Innovation in the Aerospace Product Lifecycle 5.5 PLM Strategies for Innovation and Creativity Management
5.3 New Product Development: PLM Process and Project Management
5.4 Market Analysis and Requirements Management with PLM
5.5 Knowledge Management and Intellectual Property in the PLM Context
5.6 Process Optimization for Competitiveness: Methodologies and Tools
5.7 Life Cycle Assessment (LCA) and Sustainability in Aerospace Design
5.8 Integrating PLM with Simulation and Analysis Systems
5.9 Case Studies: Innovation and Competitiveness Driven by PLM
5.50 The Future of Aerospace Innovation: The Role of PLM
3.5 Introduction to PLM Integration: Objectives and Benefits
3.5 Integrating CAD/CAM/CAE Systems with PLM
3.3 Efficient Workflows for Data and Document Management 3.4 PLM Integration with ERP and MES Systems
3.5 Process Automation and Workflow Optimization
3.6 Change Management and Version Control in Integrated Environments
3.7 Real-Time Collaboration and Efficient Communication with PLM
3.8 Data Security and Integrity in Integrated Systems
3.9 Case Studies: Successful Implementation of PLM Integration
3.50 Future Trends in PLM Integration for the Aerospace Industry
4.5 The Transformative Role of PLM in Aerospace Product Development
4.5 Model-Based Design (MBD) and its Integration with PLM
4.3 Requirements Management and Traceability in PLM
4.4 The Use of PLM in the Design of Complex Products and Integrated Systems
4.5 Configuration Management and Change Control in Development 4.6 The Importance of Collaboration in Aerospace Product Development
4.7 PLM and Knowledge Management in the Development Phase
4.8 Using PLM to Optimize Development Processes
4.9 Case Studies: Transforming Product Development Through PLM
4.50 The Future of Aerospace Product Development with PLM
5.5 3D Design and Modeling in PLM
5.5 Simulation and Performance Analysis of Aerospace Products
5.3 Computer-Aided Manufacturing (CAM) and Integration with PLM
5.4 Manufacturing Data Management and Traceability in PLM
5.5 Additive Manufacturing (3D Printing) and its Integration with PLM
5.6 Design for Manufacturing and Assembly (DFMA)
5.7 Optimizing Design for Manufacturing 5.8 Integrating PLM with Simulation and Manufacturing Systems
5.9 Case Studies of Integrated Design, Simulation, and Manufacturing
5.50 The Future of Integrated Manufacturing in the Aerospace Industry
6.5 Introduction to Advanced Lifecycle Management
6.5 Process Optimization: PLM Methodologies and Tools
6.3 Product Data Management (PDM) and its Role in Advanced PLM
6.4 Change Control and Configuration Management in PLM
6.5 Risk Management and Regulatory Compliance
6.6 Integrating PLM with Quality Management Systems
6.7 Data Analysis and Reporting for Process Optimization
6.8 Sustainability and Lifecycle Analysis (LCA) in PLM
6.9 Case Studies: Successful Implementation of Advanced Management and Process Optimization 6.50 The Future of Advanced Lifecycle Management and Process Optimization with PLM
7.5 3D Modeling and Data Management in PLM for the Aerospace Industry
7.5 Structural Simulation and Finite Element Analysis (FEA)
7.3 Computational Fluid Dynamics (CFD) for Aircraft Design
7.4 Flight Performance Simulation and Systems Analysis
7.5 Design Optimization Using Simulation and PLM Tools
7.6 Validation and Verification of Models and Simulations
7.7 Management of Simulation Data and Results in PLM
7.8 Integration of Simulation with the Manufacturing Process
7.9 Case Studies: Modeling, Simulation, and Optimization in the Aerospace Industry
7.50 The Future of Modeling, Simulation, and Optimization with PLM
8.5 Introduction to Data Analysis and Management in Aeronautical Design
8.5 Collection and organization of design data.
8.3 Analysis of performance data and design optimization.
8.4 Use of data analysis tools in PLM.
8.5 Management of design information and its lifecycle.
8.6 Data visualization and report creation for decision-making.
8.7 Implementation of business intelligence (BI) in PLM.
8.8 The role of artificial intelligence (AI) and machine learning (ML) in design data analysis.
8.9 Case studies: Data analysis and management in aeronautical design.
8.50 The future of data analysis and management in aeronautical design with PLM.
6.6 Introduction to PLM Process Optimization
6.2 Lifecycle Process Mapping and Analysis
6.3 Identifying Areas for Improvement
6.4 Designing and Implementing Improvements
6.5 Process Automation
6.6 Change Management and Version Control
6.7 KPIs and Performance Measurement
6.8 Integration with ERP and CAD Systems
6.9 Optimizing Collaboration
6.60 Case Studies and Best Practices
- 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”).