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Master'sAutonomous, ADAS & Software-Defined Vehicle Applications open

Master’s in Sensor/Software-in-the-Loop & Scale Testing Engineering

Online master's programme of 1,900 hours in sensor/software-in-the-loop and scale testing engineering, structured in 12 modules covering SIL, sensor-in-the-loop, HIL and vehicle-in-the-loop testing, scale vehicles, test automation, correlation and ADAS function testing (ISO 26262, ISO 21448, ASAM XIL), 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 X-in-the-loop test strategies.

02

Implement SIL environments with virtual ECUs.

03

Stimulate sensors in sensor-in-the-loop testing.

04

Configure HIL benches and vehicle-in-the-loop tests.

05

Use scale vehicles for testing.

06

Automate test campaigns.

07

Develop an XiL testing project.

Profile

Who it's for

  • HIL test engineers looking to master the full XiL chain.
  • Simulation engineers working on virtual validation.
  • ADAS validation engineers responsible for function test campaigns.
  • Test automation engineers building pipelines and regression suites.
  • Laboratory managers planning and running test facilities.
  • Robotics researchers using scale vehicles and in-the-loop testing.
  • Engineering or science graduates seeking to enter the automotive sector.
Standards & tools

What you'll work with

  • ISO 26262 (functional safety of road vehicles)
  • ISO 21448 (SOTIF – safety of the intended functionality)
  • ASAM XIL (standard interfaces for in-the-loop test systems)
  • Modelica Association FMI 3.0 (functional mock-up interface for co-simulation)
  • ASAM OSI (open simulation interface for sensors)
  • Automotive SPICE 4.0 (automotive software process assessment model)
  • ISO 34502 (scenario-based safety evaluation)
  • UN ECE R152 (advanced emergency braking systems)
  • dSPACE SCALEXIO
  • Vector CANoe
  • Synopsys Silver
  • IPG CarMaker
  • ROS 2
Syllabus

12 modules · 1900 h

  1. 1.1The X-in-the-loop testing concept
  2. 1.2The automated vehicle test pyramid
  3. 1.3Model-in-the-loop and software-in-the-loop
  4. 1.4Sensor-in-the-loop and its scope
  5. 1.5Hardware-in-the-loop and vehicle-in-the-loop
  6. 1.6Selection of the test level
  7. 1.7Costs and timescales by level
  8. 1.8Correlation between levels
  9. 1.9Organisation of laboratories
  10. 1.10Case study: test strategy for an AEB
  1. 2.1Compilation for execution on PC
  2. 2.2Virtual ECUs from level 0 to 3
  3. 2.3Integration with simulators
  4. 2.4FMI and FMU interfaces
  5. 2.5Faster-than-real-time execution
  6. 2.6Test parallelisation
  7. 2.7Continuous integration with SIL
  8. 2.8Test environment management
  9. 2.9Silver and VEOS tools
  10. 2.10Lab: virtual ECU with FMU
  1. 3.1Sensor stimulation with synthetic signals
  2. 3.2Data injection at the sensor interface
  3. 3.3Screens and optical stimulation of cameras
  4. 3.4Radar target simulators
  5. 3.5LiDAR stimulation
  6. 3.6GNSS stimulation
  7. 3.7Stimulus synchronisation
  8. 3.8Latency and fidelity
  9. 3.9Limitations of stimulation
  10. 3.10Practical: radar stimulation with a target simulator
  1. 4.1Architecture of a HIL bench
  2. 4.2Real-time models
  3. 4.3I/O and signal emulation
  4. 4.4CAN and Ethernet bus simulation
  5. 4.5Electrical fault injection
  6. 4.6Test automation
  7. 4.7HIL benches for ADAS
  8. 4.8Configuration management
  9. 4.9Bench maintenance
  10. 4.10Workshop: front camera HIL bench
  1. 5.1Real vehicle in a virtual environment
  2. 5.2Augmented reality for driving
  3. 5.3Injection of virtual objects
  4. 5.4Safety in ViL testing
  5. 5.5Dynamic roller test benches
  6. 5.6Track testing with virtual objects
  7. 5.7Vehicle localisation
  8. 5.8System latency
  9. 5.9ViL use cases in ADAS
  10. 5.10Lab: ViL test on track
  1. 6.1Scale vehicle platforms
  2. 6.2F1TENTH and Duckietown
  3. 6.3Dynamic scaling and similarity
  4. 6.4Sensors on scale vehicles
  5. 6.5Tracks and test environments
  6. 6.6Transfer to the real vehicle
  7. 6.7Use in teaching and research
  8. 6.8Costs and limitations
  9. 6.9Multi-agent testing on a reduced track
  10. 6.10Practical: F1TENTH vehicle control
  1. 7.1Design of test laboratories
  2. 7.2Computing infrastructure
  3. 7.3Test data management
  4. 7.4Resource planning
  5. 7.5Laboratory safety
  6. 7.6Equipment calibration
  7. 7.7Laboratory accreditation
  8. 7.8Operating costs
  9. 7.9Capacity scaling
  10. 7.10Workshop: XiL laboratory design
  1. 8.1Test specification languages
  2. 8.2Automation frameworks
  3. 8.3Test case management
  4. 8.4Integration with requirements
  5. 8.5Overnight execution and regressions
  6. 8.6Automatic results analysis
  7. 8.7Reports and dashboards
  8. 8.8Handling intermittent failures
  9. 8.9Test metrics
  10. 8.10Lab: automated test pipeline
  1. 9.1Correlation between SIL, HIL and vehicle results
  2. 9.2Validation of plant models
  3. 9.3Simulation credibility according to ASAM
  4. 9.4Tool qualification according to ISO 26262
  5. 9.5Measurement uncertainty in test benches
  6. 9.6Managing discrepancies between levels
  7. 9.7Documenting the credibility argument
  8. 9.8Regulatory requirements for virtual testing
  9. 9.9Audits of test processes
  10. 9.10Practical: SIL versus track correlation analysis
  1. 10.1AEB emergency braking tests
  2. 10.2Adaptive cruise control tests
  3. 10.3Lane keeping tests
  4. 10.4Automated parking tests
  5. 10.5ALKS tests according to R157
  6. 10.6Euro NCAP protocols in XiL
  7. 10.7GSR regulatory tests
  8. 10.8Robustness tests with injected faults
  9. 10.9Regression tests between versions
  10. 10.10Case study: ACC test campaign
  1. 11.1Test requirements in ISO 26262
  2. 11.2Validation according to ISO 21448
  3. 11.3Test processes in Automotive SPICE
  4. 11.4The ASAM XIL interface standard
  5. 11.5The FMI standard for co-simulation
  6. 11.6Qualification of test tools
  7. 11.7Traceability from requirements to tests
  8. 11.8Verification audits
  9. 11.9Trends in virtual testing
  10. 11.10Workshop: test plan compliant with ISO 26262
  1. 12.1Definition of the system under test
  2. 12.2Level-by-level test strategy
  3. 12.3Building the SIL environment
  4. 12.4HIL bench configuration
  5. 12.5Testing with a scale vehicle
  6. 12.6Campaign automation
  7. 12.7Correlation analysis between levels
  8. 12.8Conclusions and future work
  9. 12.9Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

100% online training 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, making it compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is dSPACE SCALEXIO, Vector CANoe, Synopsys Silver, IPG CarMaker and ROS 2, in free, academic or evaluation versions. Testing is studied through real procedures: HIL testing of ADAS functions, sensor stimulation on the bench and testing with scale vehicles. Assessment is continuous for each module, plus the final Master's Thesis.

Standards covered: ISO 26262, ISO 21448, ASAM XIL, Modelica Association FMI 3.0, ASAM OSI, Automotive SPICE 4.0, ISO 34502, UN ECE R152.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 26262, ISO 21448 and ASAM XIL applied to real cases, not as a theoretical annex.
Industry software:dSPACE SCALEXIO, Vector CANoe, Synopsys Silver, IPG CarMaker and ROS 2, in free, academic or evaluation versions.
Master's Thesis with defence:a complete XiL testing project, from SIL environment and HIL bench to scale-vehicle tests and cross-level correlation, 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.

Virtual ECU in SIL
Build a virtual ECU packaged as an FMU and integrate it with a simulator.
Sensor stimulation on the bench
Stimulate a radar with a target simulator and assess latency and fidelity.
HIL bench and test automation
Configure a front camera HIL bench and run an automated test pipeline.
Cross-level correlation
Compare SIL results against track and scale-vehicle tests.
Master's Thesis
A complete XiL testing project, from SIL environment and HIL bench to scale-vehicle tests and cross-level correlation, defended before a panel.
Career opportunities

Where this takes you

HIL test engineerSimulation engineerADAS validation engineerTest automation engineerLaboratory managerRobotics researcher
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 dSPACE SCALEXIO, Vector CANoe, Synopsys Silver, IPG CarMaker and ROS 2, 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 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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