Telemetry Course Online Master Advanced Systems for UAM & Aerospace
About our
Telemetry Engineering Course at SEIUM & UAM
This specialized telemetry engineering course focuses on the comprehensive study of remote data acquisition, transmission, and analysis. Throughout the program, students explore the core principles of sensors, transmitters, and receivers, alongside advanced signal processing techniques and robust communication protocols. To bridge theory and practice, the curriculum emphasizes hands-on applications in diverse high-performance sectors, ranging from autonomous vehicles to environmental monitoring and critical industrial systems.
By enrolling in this premium telemetry course online, you will build a solid foundation in embedded systems and telecommunications, mastering the industry-standard analysis software and simulation tools used by top teams worldwide. Participants will gain practical experience in implementing end-to-end telemetry solutions, evaluating system performance, ensuring data reliability, and adhering to strict safety and efficiency standards.
Additionally, the program features dedicated modules on motorsport telemetry training, allowing you to decode real-time vehicle dynamics, optimize chassis setups, and manage trackside data streams. This rigorous training perfectly prepares students for high-demand professional roles, qualifying you to succeed as a certified telemetry engineer, data acquisition systems specialist, or signal analyst in elite sectors such as professional automotive engineering and space exploration.
Telemetry Course Online Master Advanced Systems for UAM & Aerospace
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
299 $
Competencies and results
What you will learn
1. Advanced Telemetry Engineering Course: Master Data Acquisition and Analysis at UAM
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Acquisition of telemetry data in UAM environments.
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Configuration and calibration of sensors for UAM.
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Telemetry data communication and transmission protocols.
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Real-time and post-flight analysis of telemetry data.
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Tools and software for telemetry data processing.
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Identification and troubleshooting of UAM telemetry systems.
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Application of telemetry in UAM structural health monitoring.
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Flight performance analysis using telemetry data.
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Optimization of telemetry systems for UAM.
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Safety and regulatory compliance considerations in UAM telemetry.
2. UAM Telemetry Course Online: Design, Implementation and Optimization of Systems
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Telemetry Fundamentals: Core principles, key concepts, and applications across various engineering fields.
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Telemetry System Architecture: High-performance components, specialized devices, and critical communication protocols.
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Telemetry System Design: Strategic selection of advanced sensors, transmitters, receivers, and high-speed data acquisition systems.
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Telemetry System Implementation: Comprehensive configuration, precise sensor calibration, and rigorous testing protocols.
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Telemetry System Optimization: Advanced techniques for improving data efficiency, transmission accuracy, and system reliability.
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Telemetry Data Analysis: Processing, professional visualization, and real-time interpretation of complex collected data.
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Advanced Telemetry Applications: Practical case studies spanning diverse industries, featuring dedicated insights into motorsport telemetry training environments.
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Telemetry Security: Industry-standard methodologies for protecting critical data streams and hardware systems against threats.
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Future Trends in Telemetry: Next-generation innovations and emerging technological developments shaping the career of the modern telemetry engineer.
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Telemetry Tools and Software: Practical mastery of specialized software tailored for the professional design, implementation, and analysis of complex systems.
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 and prepare you to succeed as a professional telemetry engineer.
4. UAM Telemetry: Unraveling Data for Aerial Innovation as a Telemetry Engineer
Here is the requested content:
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Explore the fundamental principles of telemetry applied to aeronautics, including data acquisition, transmission, and analysis through a comprehensive telemetry engineering course framework.
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Master the use of specialized tools and software for processing and visualizing telemetry data, such as MATLAB or Python.
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Study the different data sources in aviation, from flight sensors to engine and control systems.
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Learn to identify and resolve common telemetry problems, such as data loss, interference, and calibration errors.
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Understand how telemetry is used for aircraft health monitoring, performance optimization, and safety enhancement.
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Apply the acquired knowledge in practical projects, such as analyzing real flight data and simulating aeronautical scenarios within your motorsport telemetry training or aerospace modules.
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Understand the importance of telemetry in the development of new aeronautical technologies, such as unmanned aerial vehicles (UAVs) and Advanced propulsion systems. Become familiar with industry regulations and standards related to telemetry and aviation safety to excel as a professional telemetry engineer completing this telemetry course online. Analyze the impact of telemetry on research and development and innovation in the aviation sector.
5. UAM Telemetry: Interpretation and Application of Data in Aerial Environments
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Understand the fundamentals of telemetry and its relevance in aircraft monitoring through a specialized telemetry engineering course curriculum.
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Identify and analyze the different types of telemetry data (sensors, acquisition systems).
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Interpret flight data, including engine, aerodynamic, and structural parameters to excel as a professional telemetry engineer.
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Apply data analysis techniques for early fault detection and performance optimization.
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Use specific software tools for the analysis and visualization of telemetry data in this comprehensive telemetry course online.
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Evaluate the structural integrity of aircraft using telemetry data.
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Apply acquired knowledge to simulations and case studies, including advanced data processing techniques shared in motorsport telemetry training environments.
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Become familiar with the regulations and standards related to aeronautical telemetry.
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Develop problem-solving and data-driven decision-making skills.
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Explore future trends in Telemetry and its impact on the aeronautical industry.
6. UAM Telemetry: Measurement and Analysis Strategies with Motorsport Telemetry Training for Unmanned Aircraft
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- Fundamentals of telemetry applied to drones and UAVs.
- Design and implementation of sensors and data acquisition (DAQ) systems.
- Wireless communication protocols and real-time data transfer.
- Telemetry data processing and analysis techniques.
- Evaluation of the performance and stability of unmanned aircraft.
- Diagnosis and detection of flight system faults.
- Applications of telemetry in the Research and development of UAVs.
- Integration of telemetry systems with control and navigation systems.
- Analysis of flight data for optimizing drone design and operation.
Safety and regulatory considerations related to telemetry in UAVs.
Who this program is for:
Telemetry Course Online Master Advanced Systems for UAM & Aerospace
- Graduates in Aerospace Engineering, Mechanical, Industrial, Automatics or similar.
- OEM rotorcraft/eVTOL professionals, MRO, consulting, technology centers.
- Flight Test, certification, avionics, control and dynamics who seek specialization.
- Regulators/authorities and UAM/eVTOL profiles that require compliance competencies.
- 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 Fundamentals of Telemetry in UAM: Principles and Applications
1.2 Key Components of a UAM Telemetry System
1.3 Data Types and Relevant Sensors in UAM
1.4 Architecture and Design of Telemetry Systems for UAM
1.5 Communication and Data Transmission Protocols in UAM
1.6 Integrating Telemetry with Navigation and Control Systems
1.7 Challenges and Considerations in UAM Telemetry: Latency, Bandwidth, and Security
1.8 Tools and Software for Acquiring and Visualizing Telemetry Data
1.9 Practical Examples and Case Studies of Telemetry in UAM
1.10 Future Trends and the Role of Telemetry in the Evolution of UAM
2.1 Architecture and Components of UAM Telemetry Systems
2.2 Sensor Selection and Data Acquisition
2.3 Design of Communication Links for Telemetry
2.4 Implementation of Telemetry Systems on UAM Platforms
2.5 Optimization of Telemetry Systems for Performance and Efficiency
2.6 Safety and Redundancy Considerations in UAM Telemetry
2.7 Design of Telemetry Ground Stations
2.8 Testing and Validation of Telemetry Systems
2.9 Integration of Telemetry Data with Flight Control Systems
2.10 Design of User Interfaces for Telemetry Data Visualization and Analysis
3.1 Fundamentals of Data Capture in Aerial Environments
3.2 Sensors and Data Acquisition Systems for UAM
3.3 Data Structures and Communication Protocols in Telemetry
3.4 Real-Time Data Processing: Filters and Algorithms
3.5 Validation and Verification of Telemetry Data
3.6 Telemetry Data Analysis: Techniques and Tools
3.7 Data Visualization and Presentation for Decision Making
3.8 Data Quality Management in UAM Systems
3.9 Case Studies: Telemetry Applications in UAM
3.10 Future of Data Capture and Analysis in the Urban Aviation Sector
4.1 Telemetry System Design for UAM
4.2 Telemetry System Architecture in Aerial Environments
4.3 Communication and Data Transmission Protocols in UAM
4.4 Sensors and Measuring Devices for UAM
4.5 Acquisition and Storage of Telemetry Data in UAM
4.6 Real-Time Telemetry Data Processing and Analysis
4.7 Visualization and Presentation of Telemetry Data in UAM
4.8 Telemetry Data Quality Management in UAM
4.9 Data Security and Protection in UAM Telemetry Systems
4.10 Case Studies and Practical Applications of Telemetry in UAM
5.1 Sensors and Telemetry Systems in UAM
5.2 Data Architecture and Communication Protocols
5.3 In-Flight Data Capture and Transmission
5.4 Real-Time Data Processing and Analysis
5.5 Visualization and Presentation of Aerial Data
5.6 Data Integration with Flight Control Systems
5.7 Telemetry Applications in Performance Analysis
5.8 Telemetry for Safety and Predictive Maintenance
5.9 Data Analytics and Machine Learning Applied to UAM
5.10 Case Studies: Telemetry Applications in Aerial Environments
6.1 Essential Sensors and Measurement Systems in Unmanned Aircraft
6.2 Sensor Selection: Accuracy, Range, and Sampling Rate
6.3 Measurement System Design: Integration and Configuration
6.4 Data Transmission: Protocols and Wireless Technologies
6.5 Real-Time Data Analysis and Signal Processing
6.6 Validation and Calibration of Measurement Systems
6.7 Error and Noise Mitigation Strategies
6.8 Implementing Telemetry Systems on Different UAM Platforms
6.9 Data Analysis for Aircraft Performance Optimization
6.10 Case Studies: Practical Examples of Measurement and Analysis in UAM
- 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”).