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Master'sAutomotive & Motorsport Applications open

Master’s in Track Sensors and Instrumentation Engineering

Online master's programme of 1,900 hours in track sensors and instrumentation engineering: 12 modules covering racing instrumentation, measurement fundamentals, position, force, pressure and temperature sensors, acquisition systems, telemetry, data processing, machine learning, video and optical sensors, and instrumentation reliability, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Design data acquisition architectures for motorsport.

02

Apply the fundamentals of measurement and uncertainty.

03

Select position, force, pressure and temperature sensors.

04

Configure acquisition and telemetry systems.

05

Process and analyse track data.

06

Apply machine learning to racing data.

07

Manage the reliability and regulatory compliance of instrumentation.

Profile

Who it's for

  • Data engineers working trackside or at the factory.
  • Instrumentation engineers selecting and installing vehicle sensors.
  • Telemetry technicians running real-time monitoring.
  • Performance engineers who rely on track data for decisions.
  • Motorsport data scientists applying analytics and machine learning.
  • Vehicle electronics technicians handling wiring and loggers.
  • Engineering or science graduates looking to break into motorsport.
Standards & tools

What you'll work with

  • FIA Formula 1 Technical Regulations (technical rules for F1 cars)
  • JCGM 100:2008 (GUM, guide to the expression of uncertainty in measurement)
  • ISO 11898 (CAN bus)
  • IEC 60584 (thermocouples)
  • Appendix J to the FIA International Sporting Code (technical rules for competition vehicles)
  • ISO 8855 (vehicle dynamics and road-holding vocabulary)
  • IEC 60751 (RTD sensors)
  • MoTeC i2
  • McLaren ATLAS
  • Python
  • MATLAB
  • WinTAX
Syllabus

12 modules · 1900 h

  1. 1.1The role of data in motorsport
  2. 1.2Data acquisition architecture
  3. 1.3Sensor classification
  4. 1.4Mandatory and optional sensors
  5. 1.5On-board logging and telemetry
  6. 1.6Weight and space constraints
  7. 1.7Environment: vibration, temperature and EMC
  8. 1.8Instrumentation budget
  9. 1.9Organisation of the data department
  10. 1.10Case study: instrumentation plan for a test
  1. 2.1Sensitivity, resolution and range
  2. 2.2Accuracy and precision
  3. 2.3Linearity and hysteresis
  4. 2.4Frequency response
  5. 2.5Sampling and the Nyquist theorem
  6. 2.6Aliasing and anti-aliasing filters
  7. 2.7Measurement uncertainty
  8. 2.8Calibration
  9. 2.9Noise and shielding
  10. 2.10Lab: uncertainty analysis of a sensor
  1. 3.1Linear and rotary potentiometers
  2. 3.2Non-contact LVDT and Hall-effect sensors
  3. 3.3Laser ride-height sensors
  4. 3.4Accelerometers
  5. 3.5Gyroscopes and IMUs
  6. 3.6High-frequency GPS
  7. 3.7Wheel speed sensors
  8. 3.8Steering angle
  9. 3.9Mounting and calibration
  10. 3.10Practical: calibration of suspension potentiometers
  1. 4.1Strain gauges
  2. 4.2Wheatstone bridges
  3. 4.3Load cells
  4. 4.4Measuring suspension loads
  5. 4.5Wheel force transducers
  6. 4.6Driveshaft torque measurement
  7. 4.7Strain gauge installation
  8. 4.8Thermal compensation
  9. 4.9Load calibration
  10. 4.10Lab: installation and calibration of a strain gauge
  1. 5.1Piezoresistive pressure transducers
  2. 5.2Oil, fuel and water pressure
  3. 5.3Aerodynamic pressure
  4. 5.4Thermocouples
  5. 5.5RTDs and thermistors
  6. 5.6Infrared tyre sensors
  7. 5.7Brake temperature
  8. 5.8TPMS
  9. 5.9Dynamic response
  10. 5.10Practical: aerodynamic pressure measurement with a scanner
  1. 6.1Data loggers
  2. 6.2Channel configuration
  3. 6.3Sampling rates
  4. 6.4CAN buses and their configuration
  5. 6.5Time synchronisation
  6. 6.6Storage and download
  7. 6.7Power supplies
  8. 6.8Wiring and connectors
  9. 6.9System reliability
  10. 6.10Lab: configuring a MoTeC logger
  1. 7.1Radio telemetry systems
  2. 7.2Antennas at the circuit
  3. 7.3Bandwidth and priorities
  4. 7.4FIA regulatory telemetry
  5. 7.5Transmission security
  6. 7.6Pit infrastructure
  7. 7.7Real-time monitoring
  8. 7.8Alarms
  9. 7.9Integration with the factory
  10. 7.10Case study: telemetry design for a street circuit
  1. 8.1Digital filtering
  2. 8.2Math channels
  3. 8.3Lap analysis
  4. 8.4Driver analysis
  5. 8.5Vehicle analysis
  6. 8.6Statistical analysis
  7. 8.7MoTeC, ATLAS and WinTAX tools
  8. 8.8Python programming for data
  9. 8.9Visualisation
  10. 8.10Practical: math channels in MoTeC i2
  1. 9.1Managing large data volumes
  2. 9.2Session databases
  3. 9.3Automatic anomaly detection
  4. 9.4Predictive performance models
  5. 9.5Lap classification
  6. 9.6Driver analysis with machine learning
  7. 9.7Fusing data with simulation
  8. 9.8Dashboards
  9. 9.9Report automation
  10. 9.10Lab: anomaly detection in session data
  1. 10.1On-board cameras
  2. 10.2High-speed cameras
  3. 10.3Computer vision for analysis
  4. 10.4Optical speed sensors
  5. 10.5Image-based deformation measurement
  6. 10.6Thermography
  7. 10.7Synchronisation with data
  8. 10.8Camera regulations
  9. 10.9Video processing
  10. 10.10Practical: synchronising video and data
  1. 11.1Sensor inventory management
  2. 11.2Maintenance and service life
  3. 11.3Reliability during the race
  4. 11.4Sensor and telemetry regulations
  5. 11.5FIA mandatory sensors
  6. 11.6Accident data recorder (ADR)
  7. 11.7Data quality
  8. 11.8Training data engineers
  9. 11.9Trends
  10. 11.10Workshop: instrumentation maintenance plan
  1. 12.1Definition of the measurement objective
  2. 12.2Sensor selection
  3. 12.3Acquisition system design
  4. 12.4Installation and calibration
  5. 12.5Data acquisition
  6. 12.6Processing and analysis
  7. 12.7Uncertainty assessment
  8. 12.8Conclusions
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

The programme is 100% online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so it can be combined with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is MoTeC i2, McLaren ATLAS, Python, MATLAB and WinTAX, in free, academic or evaluation versions. Testing is studied through real procedures for installing and calibrating sensors on the vehicle, analysing track session data and designing telemetry systems. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: FIA Formula 1 Technical Regulations, JCGM 100:2008 (GUM), ISO 11898 (CAN), IEC 60584, Appendix J to the FIA International Sporting Code, ISO 8855, IEC 60751.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of the FIA Formula 1 Technical Regulations, JCGM 100:2008 (GUM) and ISO 11898 (CAN) applied to real cases, not as a theoretical annex.
Industry software:MoTeC i2, McLaren ATLAS, Python, MATLAB and WinTAX, in free, academic or evaluation versions.
Master's Thesis with defence:A complete track instrumentation system, from sensor selection and acquisition design to installation, calibration, data analysis and uncertainty assessment, defended before a panel.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Measurement plan
Define the measurement objective and analyse the uncertainty of candidate sensors.
Sensor installation and calibration
Calibrate suspension potentiometers and install and calibrate a strain gauge.
Acquisition and telemetry
Configure a MoTeC logger and design the telemetry for a circuit.
Data analysis
Build math channels in MoTeC i2 and detect anomalies in session data.
Master's Thesis
Design, install and validate a complete instrumentation system, defended before a panel.
Career opportunities

Where this takes you

Data engineerInstrumentation engineerTelemetry technicianPerformance engineerMotorsport data scientistVehicle electronics technician
Admissions & scholarships

Requirements

  • A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • An internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

Ready to start?

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

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FAQ

Frequently asked questions

The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with MoTeC i2, McLaren ATLAS, Python, MATLAB and WinTAX, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.

A university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the software and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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