Aerospace shipyard digitization course
About our
The Aerospace Shipyard Digitalization Course explores digital transformation in the industry, focusing on the implementation of advanced technologies such as 3D modeling, digital twins, augmented reality (AR), and robotics to optimize aircraft design, manufacturing, and maintenance processes. Key areas such as data management, task automation, and systems integration are addressed, using simulation and big data analytics tools to improve efficiency and reduce costs.
The course provides a practical overview of digitalization in the aerospace sector, including the use of artificial intelligence (AI) and machine learning (ML) for process optimization and decision-making. Participants gain experience in using design and simulation software, as well as in implementing Industry 4.0 strategies. It focuses on developing skills for roles such as digitization engineers, automation specialists, data analysts, and digital project managers, boosting competitiveness in the market.
Aerospace shipyard digitization course
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
699 $
Competencies and results
What you will learn
1. Shipyard Digitization: Aerospace Design and Optimization
- 3D modeling and advanced simulation of aeronautical structures.
- Optimization of aerospace component design using specialized software.
- Implementation of digital manufacturing techniques in shipyards.
- Integration of digital twin technologies for predictive maintenance.
- Finite element analysis (FEA) for structural integrity assessment.
- Study of aircraft aerodynamics and its optimization.
- Product lifecycle management (PLM) in the aerospace sector.
- Application of artificial intelligence and machine learning in design and manufacturing.
- Risk and safety analysis in aircraft design and operation.
- Exploration of composite materials and their application in shipbuilding.
2. Digital Engineering of Aerospace Shipyards: Transformation and Efficiency
- Modeling and simulation of engineering systems in aerospace shipyards using specialized software.
- Application of digital design techniques for optimizing the structure and performance of vessels and aircraft.
- Analysis of the latest trends in composite materials and their application in shipbuilding and aerospace.
- Integration of digital manufacturing technologies, such as 3D printing, into the construction process.
- Implementation of Product Lifecycle Management (PLM) strategies to improve efficiency and traceability.
- Optimization of design and manufacturing processes through the use of simulation and analysis tools.
- Understanding the principles of systems engineering and their application in the integration of complex subsystems.
- Data analysis and decision-making based on information generated by digital models.
- Exploration of the Regulations and standards of the aerospace and naval industries related to digital design.
Development of skills in collaboration and effective communication in multidisciplinary work environments.
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. Digitization of Aerospace Shipyards: 3D Modeling and Process Simulation
- Master 3D modeling of aerospace components and structures using specialized software.
- Simulate manufacturing and assembly processes in shipyards, optimizing efficiency and reducing costs.
- Use simulation tools to predict the behavior of materials and structures under various conditions.
- Learn to apply digitization techniques for Product Lifecycle Management (PLM).
- Understand the fundamentals of virtual reality (VR) and augmented reality (AR) in the aerospace industry.
- Integrate simulation and modeling data into a digital platform for informed decision-making.
- Become familiar with additive manufacturing technologies (3D printing) and their application in the construction of aerospace components.
- Analyze and optimize workflows in shipyards, from design to final product. until the final product is delivered.
- Apply continuous improvement and Lean Manufacturing methodologies in digitized aerospace production.
- Explore emerging trends in shipyard digitization, such as artificial intelligence (AI) and the Internet of Things (IoT).
5. Digitization of Aerospace Shipyards: Modeling, Simulation and Design Optimization
- Advanced 3D modeling of complex aeronautical structures, including fuselages, wings, and critical components.
- Computational fluid flow (CFD) simulation to analyze aerodynamic performance and drag.
- Finite element analysis (FEA) to evaluate structural strength, stiffness, and response to dynamic loads.
- Design optimization using data-driven optimization algorithms to improve performance, reduce weight, and minimize manufacturing costs.
- Application of additive manufacturing techniques (3D printing) for prototyping and production of aerospace components.
- Implementation of product data management (PDM) and product lifecycle management (PLM) systems to optimize workflows and collaboration.
- Integration of digital twin technologies to simulate performance and Aircraft maintenance throughout their lifecycle.
Use of virtual reality (VR) and augmented reality (AR) tools for design visualization, worker training, and maintenance task execution.
Application of machine learning and artificial intelligence (AI) techniques for data analysis, failure prediction, and manufacturing process optimization.
Design and analysis of flight control systems, including aircraft stability and control evaluation.
6. Aerospace Digitization: Shipyard Modeling and Performance, Process Optimization and Design
Here is the requested content:
6. Aerospace Digitization: Shipyard Modeling and Performance, Process Optimization, and Design
You will master shipyard performance modeling using numerical simulation.
You will optimize the design and manufacturing processes of aerospace components.
You will apply digitization techniques for the design and analysis of structures.
You will learn to model and simulate the behavior of aircraft and their components.
You will use specialized aerospace design software tools.
You will implement strategies for data management and analysis in the aerospace industry.
You will evaluate the efficiency and optimization of the supply chain in shipyards.
You will develop skills in risk analysis and aerospace project management.
You will apply modeling techniques. 3D modeling and simulation for creating virtual prototypes.
You will understand the principles of additive manufacturing and its application in the aerospace industry.
Who this program is for:
Aerospace shipyard digitization course
- Aerospace Engineers, Mechanical Engineers, Industrial Engineers, Automation Engineers, or related degrees.
- Professionals with experience in OEMs of rotary-wing/eVTOL aircraft, MRO (Maintenance, Repair, and Operations) companies, aeronautical consulting firms, or technology centers with an aerospace focus.
- Specialists in Flight Testing, Aeronautical Certification, Avionics, Flight Control Systems, and Flight Dynamics who wish to deepen their knowledge.
- Personnel from Regulatory Bodies and Aviation Authorities Civilian professionals and profiles involved in the development of Urban Air Mobility (UAM) and eVTOL, seeking to acquire skills in regulatory compliance and aviation safety.
Recommended requirements: Basic knowledge in areas such as aerodynamics, systems control, and aeronautical structures. English level: B2+ or C1 (both spoken and written). Bridging tracks are available for those who need to reinforce their prior knowledge.
- 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.
Module 2 — Digital Engineering in Aerospace Shipyards: Transformation and Efficiency
2.1 Introduction to digital engineering and its application in shipyards.
2.2 Advanced 3D modeling: design of structures and components.
2.3 Numerical simulation: structural and fluid dynamic analysis.
2.4 Topological and parametric design optimization.
2.5 Product Lifecycle Management (PLM) in shipyards.
2.6 Additive manufacturing (3D printing) and its impact.
2.7 Automation and robotics in shipbuilding.
2.8 Integration of cyber-physical systems (CPS).
2.9 Digital twins and their use in simulation and maintenance.
2.10 Case studies: implementation of digital engineering in shipyards.
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Module 3 — Aerospace Digitization: Shipyard Modeling, Optimization, and Performance
3.1 Advanced 3D Modeling of Ships and Components
3.2 Simulation of Manufacturing and Assembly Processes
3.3 Design Optimization for Efficiency and Performance
3.4 Life Cycle Assessment (LCA) and Sustainability
3.5 Digital Supply Chain Management
3.6 Information Systems Integration (MES, ERP)
3.7 Big Data and Predictive Analytics in Shipyards
3.8 Virtual and Augmented Reality in Design and Training
3.9 Digital Twins for Monitoring and Maintenance
3.10 Practical Case Studies of Shipyard Digitization
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Module 4 — Aerospace Shipyard Digitization: 3D Modeling and Process Simulation
4.1 Introduction to 3D Modeling in Shipyard Design
4.2 3D Modeling Software: Tools and Techniques
4.3 Modeling Ship Structures, Components, and Systems
4.4 Simulation of Manufacturing and Assembly Processes
4.5 Workflow Simulation and Production Optimization
4.6 Interference Analysis and Error Detection
4.7 Generation of Technical Documentation and Drawings
4.8 Integration with Production Management Systems
4.9 Factory Layout Design and Optimization
4.10 Practical Examples of Modeling and Simulation in Shipyards
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Module 5 — Digitalization of Aerospace Shipyards: Modeling, Simulation, and Design Optimization
5.1 3D Modeling of Ship Components and Structures
5.2 Simulation of Structural and Fluid Dynamic Performance
5.3 Design Optimization Using Algorithms and Specialized Software
5.4 Cost and Life Cycle Analysis 5.5 Design for Manufacturing (DFM) and Assembly (DFA).
5.6 Factory Layout and Logistics Optimization.
5.7 Implementation of Virtual and Augmented Reality in Design.
5.8 Use of Digital Twins for Simulation and Maintenance.
5.9 Information Systems Integration and Data Management.
5.10 Case Studies of Design Optimization in Shipyards.
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Module 6 — Aerospace Digitization: Shipyard Modeling and Performance, Process Optimization, and Design
6.1 3D Modeling of Ships and Components: Advanced Techniques.
6.2 Performance Simulation: Structural and Fluid Dynamic Analysis.
6.3 Design Optimization: Algorithms and Tools.
6.4 Optimization of Manufacturing and Assembly Processes.
6.5 Cost Analysis and Product Life Cycle.
6.6 Design for Manufacturing and Assembly. 6.7 Implementation of virtual and augmented reality.
6.8 Digital twins: monitoring and maintenance.
6.9 Information management and systems integration.
6.10 Case studies: complete digitization in shipyards.
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Module 7 — Digitization of Aerospace Shipyards: Modeling, Optimization, and Efficiency in Design
7.1 Introduction to digitization in naval design.
7.2 3D modeling: creation of ship and component models.
7.3 Numerical simulation: structural and fluid dynamic analysis.
7.4 Design optimization: software and methodologies.
7.5 Design for manufacturing and assembly.
7.6 Cost and life cycle analysis.
7.7 Data integration and information management.
7.8 Use of virtual and augmented reality in design.
7.9 Digital twins for optimization and maintenance. 7.10 Shipyard Digitization Case Studies
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Module 8 — Digitization of Aerospace Shipyards: Modeling and Performance for Innovation
8.1 Advanced 3D Modeling: Designing Innovative Vessels
8.2 Performance Simulation: New Approaches
8.3 Design Optimization for Efficiency and Sustainability
8.4 Life Cycle Assessment and Environmental Impact Assessment
8.5 Developing Digital Twins for Innovation
8.6 Implementing Virtual and Augmented Reality Technologies
8.7 Using Big Data and Predictive Analytics in Design
8.8 Generative Design and New Shipbuilding Methods
8.9 Exploring New Materials and Technologies
8.10 Success Stories in Digital Innovation in Shipyards
2.2 3D Analysis and Modeling of Naval Structures
2.2 Computational Fluid Dynamics (CFD) in Naval Design
2.3 Optimization of Hull and Superstructure Design
2.4 Parametric Design and Digital Model Generation
2.5 Systems Integration and Data Management in Shipyards
2.6 Simulation of Manufacturing and Assembly Processes
2.7 Optimization of the Naval Supply Chain and Logistics
2.8 Application of Artificial Intelligence in Design Optimization
2.9 Virtual and Augmented Reality for Design Review and Validation
2.20 Case Studies: Examples of Successful Digitalization in Shipyards
3.3 3D Design and Optimization in Shipyards
3.2 Flow and Structural Simulation
3.3 Digital Manufacturing Process Analysis
3.4 Design Modeling for Operational Efficiency
3.5 Optimization of Computer-Aided Design (CAD)
3.6 Assembly and Disassembly Simulation
3.7 Digital Supply Chain Modeling
3.8 Digital Cost and Profitability Analysis
3.9 Data Integration and Product Lifecycle Management (PLM)
3.30 Digitalization Case Studies in Shipyards
4.4 Introduction to 3D Modeling for Shipyards: Fundamentals and Tools
4.2 Parametric and Generative Design in Shipbuilding
4.3 Modeling of Complex Naval Structures
4.4 Fluid Flow Simulation and CFD Analysis
4.5 Structural Dynamics Simulation and FEA Analysis
4.6 Simulation of Manufacturing Processes: Welding, Cutting, and Assembly
4.7 Design Optimization with Simulation: Cost Reduction and Improved Performance
4.8 Data Management and Version Control in Shipyard Projects
4.9 Integration of Virtual and Augmented Reality in Design and Simulation
4.40 Case Studies: Real-World Applications of 3D Modeling and Simulation in Shipyards
5.5 Introduction to 3D Modeling in Aerospace Shipyards
5.5 Simulation of Naval Design and Manufacturing Processes
5.3 Optimization of Naval Structure Design
5.4 Integration of Digital Systems in Shipyards
5.5 Performance Analysis and Flow Simulation
5.6 Product Lifecycle Management (PLM) in the Naval Sector
5.7 Applications of Artificial Intelligence in Naval Design
5.8 Modeling Energy Efficiency in Vessels
5.9 Validation and Verification of Digital Models
5.50 Case Studies of Successful Digitalization in Shipyards
6.6 Modeling and Simulation for Innovation
6.2 Process Optimization in Aerospace Shipyards
6.3 Efficiency in Shipyard Design
6.4 3D Modeling and Process Simulation
6.5 Design for Manufacturing and Assembly
6.6 Design Performance Simulation
6.7 Life Cycle and Cost Analysis
6.8 Data Management and the Digital Supply Chain
6.9 Risk Analysis and Technological Readiness
6.60 Intellectual Property, Certifications, and Market Launch
- 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”).