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Master'sRegulation, Safety, RAMS & Homologation Applications open

Master’s in HARA/ASIL Engineering, Safety Case, ODD and Insufficient Performance.

Online master's programme of 1,900 hours in HARA/ASIL, safety case, ODD and performance insufficiency engineering. 12 modules covering hazard analysis, ASIL allocation, ODD specification, SOTIF, scenario-based validation, safety cases, fault-tolerant architectures and human factors, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
Enrol now View syllabus Ask an advisor

Master’s in HARA/ASIL Engineering, Safety Case, ODD and Insufficient Performance. — studying from the United Kingdom

Regulation, safety and reliability engineering are central to many sectors in the United Kingdom, where RAMS (reliability, availability, maintainability and safety) and homologation requirements apply to transport, energy, defence and medical products. Regulators such as the Civil Aviation Authority, the Office of Rail and Road and the Health and Safety Executive set rules that engineers must meet. Certification bodies and testing laboratories support compliance and type approval. Demand is strong for professionals who can manage safety cases, standards compliance and technical assessment.

Fees for the United Kingdom: £7,440 (Pound sterling), with instalments and employer sponsorship available.

Relevant bodies in the United Kingdom

  • Health and Safety Executive (HSE)
  • British Standards Institution (BSI)
  • Vehicle Certification Agency (VCA)
  • Office of Rail and Road (ORR)

Typical roles

  • Safety Engineer
  • RAMS Engineer
  • Homologation Engineer
  • Compliance Engineer

Questions from the United Kingdom

Which UK bodies govern RAMS and homologation, and is SEIUM training recognised by them?

Relevant UK bodies include the Health and Safety Executive for workplace safety, the Vehicle Certification Agency for vehicle type approval, and the Institution of Engineering and Technology for professional membership. SEIUM's private qualifications are not accredited by any of these bodies, so they do not confer regulatory authority or automatic recognition.

Do UK employers in safety and compliance roles recognise private online qualifications?

Compliance and safety roles in the UK often value recognised certifications, such as IOSH or IRCA auditor training, alongside experience. A private qualification may support an application if it demonstrates relevant RAMS or regulatory knowledge, but employers decide its weight. Check the specific certifications listed in job adverts you are targeting.

Is the course manageable alongside work, and is it taught in English?

Yes, the programmes are delivered entirely online in English. You receive an assigned technical tutor, and workload varies from 300 to 1,900 hours depending on the programme. Fees can be paid in instalments, and employer sponsorship is possible. You do not need a student visa to study from home in the UK.

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Learning outcomes

What you will be able to do

01

Carry out rigorous, well-justified HARA analyses.

02

Allocate and decompose ASIL levels.

03

Specify operational design domains.

04

Identify performance insufficiencies using SOTIF.

05

Plan quantitative, scenario-based validation.

06

Build safety cases using GSN notation.

07

Design fault-tolerant architectures.

Profile

Who it's for

  • Functional safety engineers.
  • SOTIF engineers.
  • Safety case managers.
  • Autonomous systems validation engineers.
  • Human factors specialists.
  • Independent safety assessors.
  • Engineering or science graduates seeking to enter the automotive sector.
Standards & tools

What you'll work with

  • ISO 26262-3:2018 (concept phase and HARA)
  • ISO 21448:2022 (safety of the intended functionality, SOTIF)
  • ISO 34503:2023 (ODD specification)
  • ISO 34502:2022 (scenario-based safety evaluation)
  • UL 4600 Ed. 3 (safety evaluation of autonomous products)
  • SAE J2980 (considerations for ASIL hazard classification)
  • IEC 61508 (general functional safety)
  • ISO/TR 4804:2020 (safety and cybersecurity for automated driving systems)
  • medini analyze
  • CARLA
  • MATLAB/Simulink
  • Astah GSN
  • Python (scipy)
Syllabus

12 modules · 1900 h

  1. 1.1Risk and reasonable risk
  2. 1.2Functional failures and hazards
  3. 1.3Vehicle operating situations
  4. 1.4Reasonably foreseeable misuse
  5. 1.5Acceptable residual risk
  6. 1.6The ALARP principle and other criteria
  7. 1.7State of the art
  8. 1.8Chain of safety requirements
  9. 1.9Requirements traceability
  10. 1.10Case study: hazards of an automated parking system
  1. 2.1Defining situations
  2. 2.2Analysis of driving scenarios
  3. 2.3Severity S0 to S3
  4. 2.4Exposure E0 to E4
  5. 2.5Controllability C0 to C3
  6. 2.6Determining the ASIL
  7. 2.7Sources of exposure data
  8. 2.8Justifying controllability
  9. 2.9Common errors in HARA
  10. 2.10Lab: complete HARA of an automated braking function
  1. 3.1Meaning of each level
  2. 3.2Requirements by ASIL
  3. 3.3ASIL decomposition and redundancy
  4. 3.4Independence of elements
  5. 3.5ASIL inheritance
  6. 3.6Safety elements out of context (SEooC)
  7. 3.7Safety components
  8. 3.8Coexistence of elements
  9. 3.9Component qualification
  10. 3.10Practical exercise: ASIL decomposition of a redundant steering system
  1. 4.1Definition of the ODD
  2. 4.2ISO 34503 taxonomy
  3. 4.3Scenery, environment and dynamic attributes
  4. 4.4Formal ODD specification
  5. 4.5Real-time ODD monitoring
  6. 4.6ODD exit and minimal risk
  7. 4.7ODD and target market
  8. 4.8Progressive ODD expansion
  9. 4.9Communicating the ODD to the user
  10. 4.10Lab: specifying an ODD with ISO 34503
  1. 5.1Functional insufficiencies of the system
  2. 5.2Sensor and algorithm limitations
  3. 5.3Triggering conditions for risk
  4. 5.4Cause analysis
  5. 5.5Known unsafe scenarios
  6. 5.6Searching for unknown scenarios
  7. 5.7Quantitative acceptance criteria
  8. 5.8Validation of the event rate
  9. 5.9Iterative system improvement
  10. 5.10Practical exercise: insufficiencies of a lane detector
  1. 6.1Scenario generation
  2. 6.2Logical and concrete scenarios
  3. 6.3Critical scenario parameters
  4. 6.4Searching for edge cases
  5. 6.5TTC and PET criticality metrics
  6. 6.6Coverage of the scenario space
  7. 6.7Naturalistic driving data
  8. 6.8Accident databases
  9. 6.9Simulation at scale
  10. 6.10Lab: searching for critical scenarios with optimisation
  1. 7.1Validation targets
  2. 7.2Human accident rates as a benchmark
  3. 7.3Equivalent validation mileage
  4. 7.4Statistical validation methods
  5. 7.5Importance sampling
  6. 7.6Combining simulation and testing
  7. 7.7Leading safety indicators
  8. 7.8In-service validation
  9. 7.9Uncertainty of results
  10. 7.10Practical exercise: calculating the mileage required for a safety claim
  1. 8.1Purpose of the safety case
  2. 8.2Argument structure
  3. 8.3GSN argument notation
  4. 8.4Process-based and product-based arguments
  5. 8.5Evidence and its quality
  6. 8.6Safety claims
  7. 8.7Independent reviews of the case
  8. 8.8UL 4600 and the safety case
  9. 8.9In-service maintenance
  10. 8.10Workshop: safety case for a Level 4 system
  1. 9.1Fail-safe versus fail-operational
  2. 9.2Sensor and compute redundancy
  3. 9.3Design diversity
  4. 9.4Safety monitors
  5. 9.5Minimal risk manoeuvre
  6. 9.6Redundant power supply
  7. 9.7Redundant brake and steering actuators
  8. 9.8Common cause failure analysis
  9. 9.9Validation of redundancy
  10. 9.10Case study: fail-operational architecture of an autonomous vehicle
  1. 10.1Controllability studies
  2. 10.2Tests with drivers
  3. 10.3Reaction and transition time
  4. 10.4Driver monitoring
  5. 10.5Misuse and abuse of the system
  6. 10.6Warning interfaces
  7. 10.7Representative driver population
  8. 10.8Ethics of tests involving people
  9. 10.9Documenting results
  10. 10.10Practical exercise: designing a controllability study
  1. 11.1Field monitoring
  2. 11.2Incident analysis
  3. 11.3Updating the safety case
  4. 11.4Change management
  5. 11.5OTA updates and safety
  6. 11.6Feedback into design
  7. 11.7Communication with authorities
  8. 11.8Fleet safety indicators
  9. 11.9Withdrawal and recall
  10. 11.10Case study: field incident involving an ADAS system
  1. 12.1System and ODD definition
  2. 12.2HARA and ASIL
  3. 12.3SOTIF analysis of the system
  4. 12.4Safety architecture
  5. 12.5Validation strategy
  6. 12.6Writing the safety case
  7. 12.7In-service monitoring plan
  8. 12.8Conclusions and future work
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

100% online learning 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 medini analyze, CARLA, MATLAB/Simulink, Astah GSN and Python (scipy), in free, academic or evaluation versions. Practical work is based on real procedures: complete HARA analyses, ODD specification and statistical validation of safety claims. Assessment is continuous for each module, plus the final Master's Thesis.

Standards covered: ISO 26262-3:2018, ISO 21448:2022 (SOTIF), ISO 34503:2023, ISO 34502:2022, UL 4600 Ed. 3, SAE J2980, IEC 61508 and ISO/TR 4804:2020.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 26262-3, ISO 21448 and ISO 34503 applied to real cases, not as a theoretical annex.
Industry software:medini analyze, CARLA, MATLAB/Simulink, Astah GSN and Python (scipy), in free, academic or evaluation versions.
Master's Thesis with defence:a complete system safety project covering ODD, HARA/ASIL, SOTIF analysis, safety architecture, validation strategy and safety case, 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.

Perform a complete HARA
Carry out a full HARA of an automated braking function and determine the ASILs.
Specify the ODD
Specify an operational design domain using the ISO 34503 taxonomy.
Search for critical scenarios
Use optimisation and simulation to find critical scenarios and performance insufficiencies.
Quantify validation effort
Calculate the mileage and statistical evidence needed to support a safety claim.
Master's Thesis
Deliver a complete system safety project with a GSN safety case and in-service monitoring plan, defended before a panel.
Career opportunities

Where this takes you

Functional Safety EngineerSOTIF EngineerSafety Case ManagerAutonomous Systems Validation EngineerHuman Factors SpecialistIndependent Safety Assessor
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.

Apply now Scholarships
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 medini analyze, CARLA, MATLAB/Simulink, Astah GSN and Python (scipy), 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 programme 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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