CourseDefense, Military Engineering & Land Systems Applications open

RAMS Certification Course in Autonomous Vehicles

Online 300 h course in RAMS certification for autonomous vehicles. 6 modules covering ISO 26262 (functional safety for road vehicles), ISO 21448 (SOTIF) and ReliaSoft Weibull++. Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate
Virtual lab · try it before you enrol

Take the controls.

Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Apply RAMS concepts to vehicles with automated driving.

02

Model system reliability using reliability block diagrams and fault trees.

03

Calculate availability and maintainability from field data.

04

Integrate ISO 26262 and ISO 21448 into safety analysis.

05

Build a structured safety case in line with UL 4600.

06

Define in-service monitoring and incident management.

07

Prepare a RAMS dossier for an autonomous vehicle.

Profile

Who it's for

  • RAMS engineer for autonomous vehicles looking to specialise in RAMS certification for autonomous vehicles.
  • Functional safety engineer looking to specialise in RAMS certification for autonomous vehicles.
  • Reliability analyst looking to specialise in RAMS certification for autonomous vehicles.
  • SOTIF specialist looking to specialise in RAMS certification for autonomous vehicles.
  • Safety case manager looking to specialise in RAMS certification for autonomous vehicles.
  • Automated driving validation engineer looking to specialise in RAMS certification for autonomous vehicles.
  • Engineering or science graduates seeking to enter the automotive sector.
Standards & tools

What you'll work with

  • ISO 26262 (functional safety for road vehicles)
  • ISO 21448 (SOTIF)
  • UL 4600 (safety of autonomous products)
  • IEC 61508 (functional safety)
  • UN Regulation No. 157 (ALKS)
  • IEC 60812 (FMEA)
  • IEC 61025 (fault tree analysis)
Syllabus

6 modules · 300 h

  1. 1.1Why an autonomous vehicle poses its own RAMS problem
  2. 1.2Reliability, availability, maintainability and safety
  3. 1.3Relationship with functional safety and the intended function
  4. 1.4Contractual and tender requirements
  5. 1.5Applicable standards by sector
  6. 1.6Quantitative safety objectives
  7. 1.7Comparison with human performance
  8. 1.8Vocabulary and metrics of the field
  9. 1.9Sources of reliability data
  10. 1.10Exercise: define RAMS objectives for a service
  1. 2.1Functional and architectural decomposition
  2. 2.2Reliability block diagrams
  3. 2.3Failure mode and effects analysis
  4. 2.4Criticality analysis and prioritisation
  5. 2.5Fault trees for the complete system
  6. 2.6Sensor failures and their detection
  7. 2.7Software failures and their treatment
  8. 2.8Common cause failures and redundancy
  9. 2.9Calculation of the dangerous failure rate
  10. 2.10Practice: failure mode analysis of perception
  1. 3.1Modelling service availability
  2. 3.2Repair times and logistics
  3. 3.3On-board diagnostics and telemetry
  4. 3.4Preventive and condition-based maintenance
  5. 3.5Sensor recalibration and its frequency
  6. 3.6Fleet management and rotation
  7. 3.7Spare parts and electronic obsolescence
  8. 3.8Software updates and their effect
  9. 3.9Service availability indicators
  10. 3.10Practice: calculate the availability of a fleet
  1. 4.1Identification of service hazards
  2. 4.2Risk to occupants, pedestrians and third parties
  3. 4.3Integrity objectives of the functions
  4. 4.4Fault-tolerant architectures and degradation
  5. 4.5Minimal risk condition and its definition
  6. 4.6Statistical validation and its cost
  7. 4.7Structure of the safety case
  8. 4.8Argument, evidence and traceability
  9. 4.9Independent review of the case
  10. 4.10Practice: safety case outline
  1. 5.1Authorisation for entry into service
  2. 5.2Performance monitoring in operation
  3. 5.3Collection and analysis of field data
  4. 5.4Incident management and reporting
  5. 5.5Design feedback and recertification
  6. 5.6Leading safety indicators
  7. 5.7Management system audit
  8. 5.8Public communication on safety
  9. 5.9User trust management
  10. 5.10Practice: service indicator dashboard
  1. 6.1Choice of vehicle and service
  2. 6.2Definition of RAMS objectives
  3. 6.3Reliability and criticality analysis
  4. 6.4Availability and maintainability modelling
  5. 6.5Hazard analysis and integrity allocation
  6. 6.6Outline of the safety case
  7. 6.7In-service monitoring plan
  8. 6.8Regulatory compliance matrix
  9. 6.9Technical report
  10. 6.10Defence of the work
Methodology, software & labs

How you'll learn

100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, making it possible to combine with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is ReliaSoft Weibull++, ReliaSoft BlockSim, Isograph Reliability Workbench, medini analyze, Python (pandas), in free, academic or evaluation versions. Practical work is based on real FMEA and fault tree analysis procedures, driving scenario simulation, and construction of safety cases with GSN. Assessment is continuous by module, plus the final integrative project.

Accreditable laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-focused Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry-led mentoring:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:a safety-by-design approach, with OT cyber, DIH and compliance as its pillars.
Capstone project

Build it end to end

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

Choice of vehicle and service

Apply RAMS concepts to vehicles with automated driving.

Definition of RAMS objectives

Model system reliability using reliability block diagrams and fault trees.

Reliability and criticality analysis

Calculate availability and maintainability from field data.

Availability and maintainability modelling

Integrate ISO 26262 and ISO 21448 into safety analysis.

Hazard analysis and integrity allocation

Build a structured safety case in line with UL 4600.

Career opportunities

Where this takes you

RAMS Engineer for Autonomous VehiclesFunctional Safety EngineerReliability AnalystSOTIF SpecialistSafety Case ManagerAutomated Driving Validation Engineer
Admissions & scholarships

Requirements

  • No prior degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • A sufficient level of Spanish to follow technical standards.

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

The programme totals 300 h, spread over 3 to 5 months. That is between 10 and 15 hours a week on average, compatible with full-time work.

The course uses ReliaSoft Weibull++, ReliaSoft BlockSim, Isograph Reliability Workbench, medini analyze and Python (pandas). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM own diploma upon passing the continuous assessment and the integrative project. This is in-house training, not an official qualification from the Ministry.

Yes. Modules passed in a course or postgraduate diploma in the same area can be credited towards the higher programme. Check the credit transfer policy when you enrol.

RAMS Certification Course in Autonomous VehiclesEnrol
Scroll to Top
SEIUM – Institute of Advanced Engineering
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.