CourseAutomotive & Motorsport Enrolment open

MoTeC Software Course for Beginners

MoTec Software Course for Beginners

This course introduces you to the fundamentals of MoTec software, an essential tool in the world of motorsports for data analysis and telemetry. It focuses on understanding data acquisition, interpreting key parameters such as RPM, speed, temperature, and pressure, and applying this knowledge to optimize vehicle performance. You will learn to navigate the interface, configure data channels, and generate graphs and reports useful for improving race strategy and vehicle performance.

This course provides a solid foundation for understanding how data collected in real time and during post-race analysis is used to make informed decisions about vehicle setup, driving style, and team strategy. It covers fundamental concepts such as sensor usage, calibration, and data visualization. The course is ideal for drivers, race engineers, mechanics, and anyone interested in learning more about data analysis to improve performance in motorsport.

Duration3 months
ModeHybrid
LanguageEnglish / Spanish
Start datesOctober / March
LocationEurope (Madrid)
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Complete Mastery of the MoTeC Platform: Fundamentals and Practical Applications

02

MoTeC Data Unlocking: Telemetry Analysis and Performance Optimization

03

Comprehensive user-oriented design and validation (from modeling to manufacturing)

04

Unraveling the MoTeC Software: A Comprehensive Guide for Beginners in the World of Motorsports

05

MoTeC Advanced Data Analysis Strategies for Performance Improvement

06

In-depth Introduction to MoTeC Software: Learning Curves and Setup

07

In-depth Exploration of MoTeC Software: Analysis, Adjustments and Improvement of Vehicle Performance

08

Mastery of MoTeC Software: Optimization and Analysis for Excellence in Motorsport

Profile

Who it's for

  • Students and graduates of Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation Engineering, or related disciplines.
  • Professionals working in OEM rotorcraft/eVTOL (aircraft manufacturers), MRO (maintenance, repair, and overhaul), aeronautical consulting, or technology centers.
  • Specialists in Flight Testing, aeronautical certification, avionics, control systems, and flight dynamics, seeking to enhance their knowledge.
  • Personnel from aeronautical regulators/authorities and Profiles involved in the development of UAM/eVTOL (urban air mobility/electric vertical takeoff and landing vehicles) who need to acquire compliance skills.
Recommended requirements: A solid foundation in aerodynamics, control theory, and strength of materials/structures is advised. A B2+/C1 level of English/Spanish is required. We offer bridging tracks for those who need to reinforce their prior knowledge.
Standards & tools

What you'll work with

  • 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.
Syllabus

10 modules

  1. Module 1 — Mastering MoTeC: Fundamentals and Getting Started
  2. 1.1Introduction to MoTeC: History, Purpose, and Applications in Motorsports
  3. 1.2Installing and Configuring the MoTeC Software: Requirements and Getting Started
  4. 1.3MoTeC User Interface: Navigation and Key Functions
  5. 1.4Connecting and Configuring Hardware: Data Acquisition and Sensors
  6. 1.5Data Acquisition Fundamentals: Channels, Sampling Rate, and Units
  7. 1.6Creating Log Files: Initial Setup and Organization
  8. 1.7Visualizing Basic Data: Graphs, Tables, and Dashboards
  9. 1.8Getting Started with Data Analysis: Identifying Problems and Trends
  10. 1.9Customizing the Interface: Configuring for Efficiency and Analysis
  11. 1.10Practical Exercises: Collecting and Visualizing Basic Data
  1. 2.2Introduction to MoTeC Telemetry Analysis
  2. 2.2Data Import and Organization
  3. 2.3Data Visualization: Graphs and Tables
  4. 2.4Key Channel Analysis: Engine, Chassis, Tires
  5. 2.5Problem and Anomaly Identification
  6. 2.6Data Correlation: Causes and Effects
  7. 2.7Filtering and Comparison Techniques
  8. 2.8Performance Optimization: Strategies and Examples
  9. 2.9Reporting and Results Presentation
  10. 2.20Case Studies: Real-World Data Analysis
  1. 3.3Introduction to Vehicle Optimization with MoTeC: Fundamental Concepts
  2. 3.2Initial Configuration with MoTeC: Data Acquisition and Sensors
  3. 3.3Basic Telemetry Analysis: Interpretation of Key Data
  4. 3.4Tuning and Calibration with MoTeC: Engine Performance Improvement
  5. 3.5Suspension Optimization: Dynamic Adjustments and Handling
  6. 3.6Advanced Data Analysis: Identifying Areas for Improvement
  7. 3.7Vehicle Setup Strategies: Adapting to Different Tracks
  8. 3.8Advanced Telemetry: Creating Custom Graphs and Dashboards
  9. 3.9Developing Performance Strategies: Improving Lap Times
  10. 3.30Case Study: Practical Application of Optimization with MoTeC
  1. 4.4Introduction to the MoTeC Interface and Basic Concepts
  2. 4.2Navigation and Familiarization with Essential Functions
  3. 4.3Importing and Viewing Telemetry Data
  4. 4.4Initial Data Analysis: RPM, Speed, and Throttle Position
  5. 4.5Creating Simple Graphs for Basic Analysis
  6. 4.6Introduction to Channels and Key Parameters
  7. 4.7Primary Filters and Visualization Tools
  8. 4.8Getting Started with Dashboard Setup
  9. 4.9Identifying Common Data Problems
  10. 4.40Introduction to Reporting and Data Export
  1. 5.5Introduction to MoTeC: Interface and Getting Started
  2. 5.5Platform Setup: Creating Files and Projects
  3. 5.3Exploring the User Interface: Essential Panels and Tools
  4. 5.4Basic Sensor Configuration and Data Acquisition
  5. 5.5​​Initial Data Logs: Recording and Initial Visualization
  6. 5.5Introduction to Telemetry Analysis: Key Metrics and Their Importance
  7. 5.5Data Analysis: Identifying Areas for Performance Improvement
  8. 5.3Interpreting Graphs and Data Visualizations
  9. 5.4Analyzing Different Variables: Engine, Chassis, and Tires
  10. 5.5Performance Optimization: Strategies Based on Data Analysis
  11. 3.5Advanced Vehicle Configuration in MoTeC
  12. 3.5Optimizing Engine Configuration: Ignition and Fuel Adjustments
  13. 3.3Suspension and Chassis Adjustments: Analysis and Improvements
  14. 3.4Advanced Telemetry Strategies: Customizing and Filtering Data
  15. 3.5Developing Strategies for Continuous Performance Improvement
  16. 4.5MoTeC Software Fundamentals: Concepts Key
  17. 4.5Navigating the Interface: Tools for Beginners
  18. 4.3Data Acquisition: Setting Up and Troubleshooting Common Problems
  19. 4.4Basic Data Analysis: Identifying Problems and Opportunities
  20. 4.5Getting Started with Vehicle Setup
  21. 5.5Advanced Data Analysis Strategies: Techniques and Tools
  22. 5.5Correlation and Trend Analysis: Pattern Discovery
  23. 5.3Data Filtering and Cleaning Techniques
  24. 5.4Designing Data-Driven Performance Improvement Strategies
  25. 5.5Interpreting and Communicating Results
  26. 6.5Learning Curves in MoTeC: Overcoming Initial Challenges
  27. 6.5Vehicle Tuning: Basic and Advanced Adjustments
  28. 6.3Engine Optimization: Strategies and Techniques
  29. 6.4Developing a Tuning Workflow
  30. 6.5Troubleshooting Common Problems and Practical Tips
  31. 7.5Detailed Data Analysis: Identifying Problems
  32. 7.5Engine and Chassis Adjustments: Optimizing for Performance
  33. 7.3Improving Vehicle Performance
  34. 7.4Optimization Vehicle Configuration
  35. 7.5Advanced Data Analysis Strategies
  36. 8.5Advanced Optimization in MoTeC: Techniques and Strategies
  37. 8.5In-Depth Data Analysis: Unlocking Hidden Potential
  38. 8.3Strategies for Motorsport Excellence
  39. 8.4Optimized Workflow
  40. 8.5Developing Strategies for Continuous Improvement
  1. 6.6Introduction to the Software: Interface and Getting Started
  2. 6.2Learning Curves: Navigating the Software
  3. 6.3Initial Setup: Basic Settings and Key Functions
  4. 6.4Fundamental Data Analysis: Reading and Interpreting Basic Data
  5. 6.5Setup: Initial Configuration for Data Acquisition
  6. 6.6Visualization Tools: Initial Graphs and Tables
  7. 6.7Creating Layouts: Customizing the Interface
  8. 6.8Simple Mathematical Functions: Application and Use
  9. 6.9Initial Settings: Data Interpretation and Vehicle Configuration
  10. 6.60Troubleshooting: Common Errors and Solutions
  1. 7.7Introduction to MoTeC and its importance in motorsports.
  2. 7.2Installation and configuration of the MoTeC software.
  3. 7.3User interface: exploration and familiarization.
  4. 7.4Connecting and configuring MoTeC hardware.
  5. 7.7Creating and managing vehicle profiles.
  6. 7.6Configuring data channels and sensors.
  7. 7.7Customizing the interface and layouts.
  8. 7.8Getting started with data acquisition.
  9. 2.7Introduction to telemetry analysis.
  10. 2.2Importing and visualizing data.
  11. 2.3Identifying problems and opportunities for improvement.
  12. 2.4Analyzing speed, acceleration, and G-forces.
  13. 2.7Studying engine data: RPM, temperature, pressure.
  14. 2.6Analyzing suspension and braking data.
  15. 2.7Comparing laps and sectors.
  16. 2.8Using advanced analysis tools.
  17. 3.7Fundamentals of Vehicle Optimization
  18. 3.2Engine Control Unit (ECU) Configuration
  19. 3.3Fuel and Ignition Map Adjustment
  20. 3.4Intake and Exhaust System Optimization
  21. 3.7Suspension and Damping Adjustment
  22. 3.6Differential and Transmission Configuration
  23. 3.7Using Telemetry Data for Optimization
  24. 3.8Advanced Configuration and Tuning Strategies
  25. 4.7Introduction to MoTeC Software for Beginners
  26. 4.2Navigating the Interface and Basic Tools
  27. 4.3Creating Log Files and Configuring Data
  28. 4.4Visualizing Data in Graphs and Tables
  29. 4.7Basic Data Analysis: Speed, RPM, Position
  30. 4.6Using Filters and Analysis Functions
  31. 4.7Tips and Tricks for Beginners
  32. 4.8Troubleshooting Common Problems
  33. 7.7Advanced Data Analysis Strategies
  34. 7.2Using Histograms and Scatter Plots
  35. 7.3Analyzing Correlations and Trends
  36. 7.4Identifying Critical Points and Bottlenecks
  37. 7.7Analyzing Data from Different Laps and Drivers
  38. 7.6Optimizing Race Strategies
  39. 7.7Designing and Analyzing Simulations
  40. 7.8Continuously Improving Performance
  41. 6.7Learning Curves in MoTeC: Key Concepts
  42. 6.2Creating an Effective Workflow
  43. 6.3Initial Vehicle Setup
  44. 6.4Sensor Calibration and Data Acquisition
  45. 6.7Basic Adjustments: Fuel, Ignition, Suspension
  46. 6.6Performance Evaluation and Fine-Tuning
  47. 6.7Guided Tuning Tools
  48. 6.8Continuous Improvement and Learning
  49. 7.7Fine-tuning the engine: power and efficiency.
  50. 7.2Optimizing the transmission and differential.
  51. 7.3Suspension settings for different circuits.
  52. 7.4Braking system improvements.
  53. 7.7Data analysis to identify areas for improvement.
  54. 7.6Adjustments based on race conditions.
  55. 7.7Real-time data analysis.
  56. 7.8Simulating improvements.
  57. 8.7Advanced optimization techniques.
  58. 8.2Comprehensive data analysis: advanced strategies.
  59. 8.3Optimizing performance under changing conditions.
  60. 8.4Creating custom profiles and configurations.
  61. 8.7Developing race strategies.
  62. 8.6Performance simulation and evaluation.
  63. 8.7Using advanced simulation tools.
  64. 8.8Excellence in motorsport.
  1. 8.8Introduction to MoTeC and its interface
  2. 8.8Software installation and initial configuration
  3. 8.3Exploring the user interface: menus, windows, and tools
  4. 8.4Creating and managing projects in MoTeC
  5. 8.5Importing and visualizing basic data
  6. 8.6Getting started with data acquisition: sensor configuration
  7. 8.7Introduction to data types and channels in MoTeC
  8. 8.8Practical exercises: visualizing simple data
  9. 8.8Importing and organizing telemetry data
  10. 8.8Analyzing telemetry data: key variables
  11. 8.3Using graphs and charts for data analysis
  12. 8.4Data analysis techniques: averages, maximums, minimums
  13. 8.5Identifying problems and areas for improvement
  14. 8.6Applying filters and analyzing events
  15. 8.7Analyzing the correlation between variables
  16. 8.8Practical exercises: analyzing race data
  17. 3.8Introduction to vehicle configuration in MoTeC
  18. 3.8Configuring specific channels and sensors Vehicle
  19. 3.3Creating maps and calibration tables
  20. 3.4Adjusting engine parameters: ignition, injection
  21. 3.5Optimizing the suspension: shock absorbers, springs
  22. 3.6Adjusting the gearbox and differential
  23. 3.7Optimization strategies for different conditions
  24. 3.8Practical exercises: adjusting vehicle settings
  25. 4.8Introduction to MoTeC software for beginners
  26. 4.8Interface and basic navigation
  27. 4.3Data acquisition and initial setup
  28. 4.4Basic data analysis: speeds, accelerations
  29. 4.5Creating graphs and visualizing information
  30. 4.6Interpreting data and identifying problems
  31. 4.7Step-by-step guide to initial data analysis
  32. 4.8Practical exercises: analyzing a test lap
  33. 5.8Advanced data analysis techniques in MoTeC
  34. 5.8Track analysis and lap comparison
  35. 5.3Using data comparison tools
  36. 5.4Analyzing data from multiple races and drivers
  37. 5.5Identifying trends and Patterns
  38. 5.6Simulation Data Analysis and Correlation
  39. 5.7Advanced Data-Based Optimization Strategies
  40. 5.8Practical Exercises: Race Strategy Analysis
  41. 6.8Learning Curves in MoTeC
  42. 6.8Creating Custom Configurations
  43. 6.3Calibration and Tuning Tools
  44. 6.4Engine Configuration Optimization
  45. 6.5Suspension and Handling Tuning
  46. 6.6Real-Time Data Analysis
  47. 6.7Strategies for Continuous Improvement
  48. 6.8Practical Exercises: Race Simulation
  49. 7.8Fine-Tuning the Engine and Transmission
  50. 7.8Suspension and Handling Optimization
  51. 7.3Advanced Telemetry Analysis
  52. 7.4Performance Improvement Strategies
  53. 7.5Aerodynamics and Control Tuning
  54. 7.6Data Analysis Under Different Conditions
  55. 7.7Creating Configuration Profiles
  56. 7.8Practical Exercises: Complete Vehicle Optimization
  57. 8.8Advanced Optimization Strategies
  58. 8.8Complex Data Analysis for Excellence
  59. 8.3Fine-Tuning and Calibration of the vehicle
  60. 8.4Creating and managing configuration profiles
  61. 8.5Using in-depth analysis tools
  62. 8.6Data-driven decision-making
  63. 8.7Continuous performance improvement
  64. 8.8Practical exercises: Optimization for victory
  1. 9. Introduction to MoTeC and its Interface
  2. 9. Fundamentals of Data Collection
  3. 3. Creating and Managing Data Channels
  4. 4. Basic Data Analysis and Visualization
  5. 5. Data Interpretation and Initial Diagnosis
  6. 6. Configuring Logs and Parameters
  7. 7. Practical Applications: Case Studies
  8. 8. Troubleshooting Common Problems
  9. 9. Fundamentals of Data Optimization
  10. 9. Introduction to Telemetry Analysis
  11. 3. Importing and Organizing Data
  12. 4. Advanced Visualization Tools
  13. 5. Identifying Areas for Improvement
  14. 6. Analyzing Engine and Transmission Data
  15. 7. Analyzing Suspension and Chassis Data
  16. 8. Data Correlation and Conclusions
  17. 9. Optimizing Race Strategy
  18. 3. Initial Vehicle Setup
  19. 4. Calibrating Sensors and Devices
  20. 5. Adjusting the Engine Control Unit (ECU)
  21. 6. Configuring Suspension and Aerodynamics
  22. 7. Optimizing Response Accelerator
  23. 8. Adjustments for Different Track Conditions
  24. 9. Testing and Validating Configurations
  25. 90. Optimization for Maximum Performance
  26. 4. Introduction to MoTeC Software
  27. 5. Working Environment and Navigation
  28. 6. Creating and Configuring Projects
  29. 7. Data Collection and Visualization
  30. 8. Interpreting Collected Data
  31. 9. Getting Started with Data Analysis
  32. 90. Troubleshooting Common Problems
  33. 99. Resources and Support for Beginners
  34. 5. Advanced Data Analysis
  35. 6. Data Filtering and Comparison Techniques
  36. 7. Identifying Anomalies and Errors
  37. 8. Analyzing Trends and Patterns
  38. 9. Strategies for Performance Improvement
  39. 90. Real-Time Data Analysis
  40. 99. Optimizing Driving Style
  41. 99. Developing Race Strategies
  42. 6. Key Concepts and Learning Curves
  43. 7. Vehicle Tuning Process
  44. 8. Engine Configuration and Transmission
  45. 9. Suspension and Chassis Adjustments
  46. 90. Sensor and System Calibration
  47. 99. Optimization for Different Tracks
  48. 99. Trial and Error Methodology
  49. 93. Performance Evaluation and Adjustments
  50. 7. Detailed Engine Data Analysis
  51. 8. Ignition and Fuel Adjustments
  52. 9. Engine Performance Optimization
  53. 90. Braking Data Analysis
  54. 99. Suspension and Chassis Adjustments
  55. 99. Aerodynamic Improvements
  56. 93. Strategies for Lap Time Reduction
  57. 94. Continuous Performance Improvement
  58. 8. Advanced Optimization Strategies
  59. 9. Comprehensive Performance Analysis
  60. 90. Engine and Transmission Optimization
  61. 99. Suspension and Aerodynamic Adjustments
  62. 99. Real-Time Data Analysis
  63. 93. Strategic Decision Making
  64. 94. Career Plan Development
  65. 95. Motorsport Excellence
  66. 9. Integration of Data with Other Systems
  67. 90. Real-World Data Analysis
  68. 99. Performance Simulation and Modeling
  69. 99. Career Strategy Optimization
  70. 93. Implementing Improvements and Adjustments
  71. 94. Evaluation and Quality Control
  72. 95. System Maintenance and Updates
  1. **Final Project — MoTeC: Excellence in Data and Performance**
  2. 1. Complete Mastery of the MoTeC Platform: Fundamentals and Practical Applications
  3. 2. Unlocking MoTeC Data: Telemetry Analysis and Performance Optimization
  4. 3. Vehicle Optimization with MoTeC: From Initial Setup to Advanced Telemetry
  5. 4. Unraveling the MoTeC Software: A Comprehensive Guide for Beginners in the World of Motorsports
  6. 5. Advanced MoTeC Data Analysis Strategies for Performance Improvement
  7. 6. In-Depth Introduction to the MoTeC Software: Learning Curves and Setup
  8. 7. In-Depth Exploration of the MoTeC Software: Analysis, Tuning, and Vehicle Performance Enhancement
  9. 8. Mastering the MoTeC Software: Optimization and Analysis for Excellence in Motorsports
Methodology, software & labs

How you'll learn

  • 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.
Accreditable laboratories(EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry Mentored:teachers with experience in training, , eVTOL/UAM and flight test.
Flexible modality(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as pillars.
Career opportunities

Where this takes you

**Telemetry Data Analyst** (Motorsport, Automotive)Motorsport Data Engineer (MoTeC, Telemetry)**Telemetry Technician** (MoTeC, Motorsport)Telemetry Engineer (MoTeC, Motorsport)**MoTeC Data Engineer** (Motorsport, Tuning)**MoTeC Data Engineer** (Motorsport, Tuning)
Admissions & scholarships

Requirements

  • 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.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

FAQ

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”).

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