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CourseAutomotive & Motorsport Enrolment open

Telemetry course in rallies

Rally Telemetry Course

This course teaches the application of real-time data acquisition systems to analyze the performance of vehicles and drivers in competition. It covers the installation and configuration of sensors, wireless data transmission, and the use of specialized software for data analysis. It focuses on interpreting crucial information such as speed, acceleration, pressure, suspension, and temperature to optimize race strategy and vehicle setup. It provides practical skills for race decision-making and continuous performance improvement.

The course includes hands-on experience with real systems and simulators, covering aspects of racing engineering, automotive electronics, and communications. It focuses on the use of data visualization and video analysis tools to identify areas for improvement in driving and car setup. The training prepares students for roles such as telemetry technicians, data engineers, and performance analysts, increasing their career prospects in the world of 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

Telemetry Data Analysis in Rallying: Mastery and Optimization

02

Unraveling Telemetry in Rallying: Comprehensive Learning and Success Strategies

03

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

04

Rally Telemetry: Unlocking Data for Victory and Precision

05

Master's Degree in Rally Telemetry: Interpretation, Strategy and Competitive Advantage

06

Unveiling Rally Success: Analysis and Strategy with Advanced Telemetry

07

Strategic Mastery of Telemetry in Rallying: In-Depth Analysis and Performance Improvement

08

Mastering Telemetry in Rallying: Data Analysis, Strategy, and Optimization

Profile

Who it's for

  • Engineers with experience in the automotive sector, particularly those with degrees in Mechanical Engineering, Electronics, Computer Science, or related fields.
  • Rally competition team professionals, including race engineers, telemetry technicians, and data analysts, who wish to deepen their knowledge.
  • Rally enthusiasts and fans with technical knowledge who wish to understand and apply advanced telemetry techniques.
  • Engineering students and students in related disciplines seeking practical and applicable specialization in the field of automotive telemetry.
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 — Introduction to Rally Telemetry
  2. 1. 1.1 What is Rally Telemetry? Definition and Scope.
  3. 2. 1.2 Key Components of a Rally Telemetry System.
  4. 3. 1.3 Types of Data Collected: Engines, Suspension, and More.
  5. 4. 1.4 Essential Hardware and Software for Telemetry.
  6. 5. 1.5 Benefits of Telemetry: Performance and Safety Improvements.
  7. 6. 1.6 Getting Started: System Setup and Calibration.
  8. 7. 1.7 Basic Data Interpretation: Speed, RPM, G-Forces.
  9. 8. 1.8 Initial Visualization and Analysis Tools.
  10. 9. 1.9 Practical Examples: How Telemetry Changes Strategy.
  11. 10. 1.10 Introduction to Case Studies: Rally Success Through Telemetry.
  1. 8.2Fundamentals of Rally Telemetry: Data Collection and Types
  2. 8.2Sensors and Data Acquisition Systems (DAQ) in Rally Vehicles
  3. 8.3Analysis of Acceleration, Braking, and Speed ​​Data
  4. 8.4Interpretation of Suspension and Damping Data
  5. 8.5Analysis of Engine Data: RPM, Temperature, Pressure
  6. 8.6Track Analysis and Geopositioning (GPS)
  7. 8.7Identification of Critical Points and Track Optimization
  8. 8.8Analysis Strategies for Different Terrain and Weather Conditions
  9. 8.9Use of Telemetry Analysis Software and Tools
  10. 8.20Practical Application: Development of Data-Based Strategies
  1. 3.3Rally Telemetry Fundamentals: What is it and why does it matter?
  2. 3.2Key Components of a Rally Telemetry System
  3. 3.3Types of Telemetry Data Collected
  4. 3.4The Importance of Data Analysis in Rally
  5. 3.5Principles of Rally Strategy: How telemetry influences decision-making
  6. 3.6Introduction to Telemetry Analysis Tools
  7. 3.7The Data Collection and Transmission Process
  8. 3.8Introduction to Data Visualization: Graphs and Tables
  9. 3.9Practical Examples: How telemetry changed rally strategy
  10. 3.30Preparing for the Next Module: Mastery and Optimization
  1. 4.4Introduction to telemetry in rallying: key concepts and data collection
  2. 4.2Telemetry sensors and systems: types, functions, and applications in rallying
  3. 4.3Basic data analysis: speed, acceleration, G-forces, and their interpretation
  4. 4.4Track analysis and heat maps: route planning and optimization
  5. 4.5Interpreting engine data: RPM, temperature, pressure, and their impact on performance
  6. 4.6Suspension analysis: understanding compression, rebound, and optimal setup
  7. 4.7Data-driven race strategies: pit stop planning and tire management
  8. 4.8Troubleshooting and fault resolution: diagnostics using telemetry
  9. 4.9Telemetry tools and software: platforms and applications for analysis
  10. 4.40Case studies: examples of success and performance optimization using telemetry
  1. 5.5Fundamentals of Rally Telemetry: Data Collection and Types
  2. 5.5Telemetry Data Analysis: Tools and Methods
  3. 5.3Interpretation Strategies: Speed, Acceleration, and Braking
  4. 5.4Performance Optimization: Cornering and Tire Selection
  5. 5.5​​Trajectory Analysis and Optimal Racing Lines
  6. 5.6Telemetry and the Driver: Feedback and Effective Communication
  7. 5.7Case Studies: Analysis of Specific Rallies and Results
  8. 5.8Race Strategy: Data-Driven Decision Making
  9. 5.9Data Management: Storage, Organization, and Sharing
  10. 5.50Competitive Advantage: Applying Telemetry for Victory
  1. 6.6Introduction to Rally Telemetry: Fundamental Concepts
  2. 6.2Telemetry Data Collection and Structure
  3. 6.3Data Analysis: Speed, Acceleration, and G-Forces
  4. 6.4Interpretation of Suspension and Damping Data
  5. 6.5Engine Data Analysis: RPM, Temperature, and Pressure
  6. 6.6Track Analysis Strategies and Rally Design
  7. 6.7Performance Optimization: Braking, Acceleration, and Cornering
  8. 6.8Using Telemetry for Failure Prevention and Maintenance
  9. 6.9Data Analysis and Strategic Decision Making in Races
  10. 6.60Practical Application: Telemetry Case Studies and Exercises
  1. 7.7Introduction to Competitive Strategy in Rally: Telemetry Fundamentals
  2. 7.2Collecting and Organizing Telemetry Data in Rally
  3. 7.3Data Analysis: Speed, Acceleration, and Braking
  4. 7.4Data Interpretation: Racing Lines and Optimal Trajectories
  5. 7.7Optimization Strategies: Vehicle Adjustments and Configurations
  6. 7.6Competitive Analysis: Comparisons and Weaknesses
  7. 7.7Developing Customized Race Strategies
  8. 7.8Risk Management and Strategic Decision Making
  9. 7.9Simulation and Evaluation of Race Strategies
  10. 7.70Implementing and Refining the Rally Strategy
  1. 8.8Introduction to Rally Data Analysis: Fundamentals and Key Concepts
  2. 8.8Telemetry Data Collection and Preparation: Hardware and Software
  3. 8.3Essential Parameters: Speed, Acceleration, Angles, and G-Forces
  4. 8.4Vehicle Performance Analysis: Times, Sectors, and Track Laps
  5. 8.5Identifying Areas for Improvement: Driving and Setup
  6. 8.6Optimization Strategies: Setup, Tires, and Adjustments
  7. 8.7Comparative Analysis: Drivers, Stages, and Conditions
  8. 8.8Software and Tools: Analysis and Visualization Platforms
  9. 8.9Analysis Methodology: Workflows and Reports
  10. 8.0Case Study: Practical Application and Results
  1. 9.9Rally Telemetry Data Collection and Structure
  2. 9.9Key Data Analysis: Speed, RPM, and G-Forces
  3. 9.3Suspension and Damping Data Interpretation
  4. 9.4Engine and Transmission Behavior Analysis
  5. 9.5Line Optimization and Cornering
  6. 9.6Identifying Critical Points and Areas for Improvement
  7. 9.7Designing Data-Driven Race Strategies
  8. 9.8Performance Simulation and Prediction
  9. 9.9Use of Analysis Software and Tools
  10. 9.90Continuous Improvement and Strategy Adaptation
  1. 1.1Introduction to Telemetry Data Analysis in Rally
  2. 1.2Telemetry Data Collection and Types
  3. 1.3Tools and Software for Data Analysis
  4. 1.4Basic Data Analysis: Speed, Acceleration, Braking
  5. 1.5Performance Optimization: Line Drawing and Driving Techniques
  6. 1.6Practical Examples and Case Studies
  7. 1.7Identifying Areas for Improvement and Developing Strategies
  8. 2.1Fundamentals of Rally Telemetry
  9. 2.2Telemetry Components and Systems
  10. 2.3Key Parameters and Their Importance
  11. 2.4Data Analysis Strategies for Different Terrain Types
  12. 2.5Data Interpretation: Correlation Between Actions and Results
  13. 2.6Performance Improvement: Adjustments and Optimization
  14. 2.7Planning Telemetry-Based Race Strategies
  15. 3.1Advanced Telemetry Analysis: Complex Data
  16. 3.2Relationship Between Data and Vehicle Performance
  17. 3.3Analysis Strategies for Different Weather Conditions
  18. 3.4Optimizing Vehicle Setup
  19. 3.5Developing Race Strategies Detailed
  20. 3.6Performance Simulation and Prediction
  21. 3.7Implementing Data-Driven Continuous Improvements
  22. 4.1Unlocking Data: The Power of Telemetry
  23. 4.2Data Analysis for Race Decision Making
  24. 4.3Interpretation Techniques for Accuracy
  25. 4.4Real-Time Optimization Strategies
  26. 4.5Driver and Team Performance Analysis
  27. 4.6Identifying Problems and Solutions
  28. 4.7Competitive Advantage Through Data Analysis
  29. 5.1Advanced Data Interpretation
  30. 5.2Developing Customized Race Strategies
  31. 5.3Optimizing Vehicle and Driver Performance
  32. 5.4Data Analysis for Race Planning
  33. 5.5Using Telemetry to Improve Team Performance
  34. 5.6Competitive Advantages
  35. 5.7Implementing Continuous Improvements
  36. 6.1Advanced Data Collection and Analysis
  37. 6.2Identifying Areas for Improvement
  38. 6.3Developing Race Strategies
  39. 6.4Optimizing Vehicle Performance
  40. 6.5Data-Driven Decision Making Data
  41. 6.6Performance Evaluation
  42. 6.7Post-Race Analysis and Future Planning
  43. 7.1In-depth Analysis of Telemetry Data
  44. 7.2Optimizing Vehicle Setup and Race Strategy
  45. 7.3Identifying Weaknesses and Strengths
  46. 7.4Using Telemetry to Improve Performance
  47. 7.5Competitive Analysis
  48. 7.6Continuous Improvement and Adaptation
  49. 7.7Developing Winning Race Strategies
  50. 8.1Data Collection and Preparation
  51. 8.2Key Data Analysis
  52. 8.3Optimization Strategies
  53. 8.4Performance Analysis at Different Stages of the Race
  54. 8.5Strategic Decision Making
  55. 8.6Implementing Improvements
  56. 8.7Evaluating and Analyzing Results
  57. Final Project — Telemetry in Rally: Strategic Analysis
  58. 9.1Selecting and Preparing Telemetry Data
  59. 9.2In-depth Analysis of Collected Data
  60. 9.3Designing Data-Based Race Strategies
  61. 9.4Simulating and Evaluating Different Scenarios
  62. 9.5Optimizing Vehicle Setup
  63. 9.6Presentation and justification of the decisions made
  64. 9.7Performance evaluation and continuous improvement plan
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

Rally Telemetry Engineer (Real-time data monitoring)**Telemetry Engineer in Rallying** (Race data analysis and management)**Rally Telemetry Engineer** (Specialist in performance data analysis)**Telemetry Technician in Rallying** (Race and performance data analysis)**Telemetry Engineer in Rallying** (Analysis and optimization of race data)**Telemetry Engineer in Rallying** (Analysis and optimization of race data)
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.

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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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