Master'sRegulation, Safety, RAMS & Homologation Applications open

Master’s in ADAS and Autonomous Driving

Online master's programme of 1,900 hours in ADAS and Autonomous Driving, structured in 12 modules covering fundamentals, regulatory framework, analysis and simulation, design, components, systems integration, reliability and risk, validation, operation and project management, with ISO 26262, ISO 21448 (SOTIF), ISO/SAE 21434 and Medini Analyze, and an assigned technical tutor.

Duration12–14 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

Master’s in ADAS and Autonomous Driving — 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: £5,770 (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.

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

Master the technical fundamentals of ADAS and Autonomous Driving and its regulatory vocabulary.

02

Apply ISO 26262, ISO 21448 (SOTIF) and ISO/SAE 21434 to real design and validation decisions.

03

Build and correlate calculation models with Medini Analyze and ANSYS medini.

04

Plan and run test campaigns on conformity test benches and in EMC pre-compliance laboratories.

05

Analyse operating data and translate it into engineering decisions.

06

Prepare the technical and compliance dossier required by the client or the regulator.

07

Lead a ADAS and Autonomous Driving project technically from start to finish.

Profile

Who it's for

  • Functional safety engineers who want to take the lead in ADAS and Autonomous Driving.
  • Type-approval managers responsible for certification files and regulatory changes.
  • RAMS specialists working on safety-critical products.
  • Product quality auditors who need a solid grounding in the applicable standards.
  • Regulatory compliance managers.
  • Certification managers.
  • Engineering or science graduates looking 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)
  • ISO/SAE 21434 (road vehicle cybersecurity engineering)
  • UNECE R155 (cybersecurity management system)
  • UNECE R156 (software update management system)
  • UNECE R157 (automated lane keeping systems)
  • IEC 61508 (functional safety of E/E/PE systems)
  • EN 50126 (railway RAMS)
  • EN 50128 (railway software)
  • EN 50129 (railway safety-related electronic systems)
  • Medini Analyze
  • ANSYS medini
  • Isograph Reliability Workbench
  • PTC Windchill FMEA
  • Enterprise Architect
Syllabus

12 modules

  1. 1.1Core concepts and magnitudes of ADAS and Autonomous Driving
  2. 1.2Technology landscape and state of the art
  3. 1.3Technical terminology and reference documentation
  4. 1.4Physical and engineering principles applied to the case
  5. 1.5Functional architecture: from requirements to components
  6. 1.6Interfaces and dependencies with adjacent systems
  7. 1.7Typical use cases in the sector
  8. 1.8Common errors and how to detect them early
  9. 1.9Data sources and quality criteria
  10. 1.10Guided exercise: initial diagnosis
  1. 2.1Applicable regulatory framework: overview
  2. 2.2Regulatory hierarchy and conflicts between standards
  3. 2.3Mandatory requirements versus good practice
  4. 2.4Acceptance criteria and required evidence
  5. 2.5Technical documentation and traceability
  6. 2.6Change management and configuration control
  7. 2.7Audits, inspections and non-conformities
  8. 2.8Responsibilities and allocation of scope
  9. 2.9Interpretation of critical clauses
  10. 2.10Exercise: regulatory checklist
  1. 3.1Setting up the model: assumptions and simplifications
  2. 3.2Selection of tools and working environment
  3. 3.3Preparation of input data
  4. 3.4Workflow and good modelling practice
  5. 3.5Discretisation and case preparation
  6. 3.6Boundary conditions and load cases
  7. 3.7Convergence control and numerical verification
  8. 3.8Sensitivity analysis and parametric study
  9. 3.9Automation and reuse of models
  10. 3.10Exercise: building a base model
  1. 4.1Reduced-order models and detailed models
  2. 4.2Coupling between physical domains
  3. 4.3Parameter calibration with real data
  4. 4.4Uncertainty propagation
  5. 4.5Multi-objective optimisation
  6. 4.6Digital twins and in-service models
  7. 4.7Computational cost and calculation strategies
  8. 4.8Cross-validation of results
  9. 4.9Model documentation and versioning
  10. 4.10Exercise: complete simulation campaign
  1. 5.1Design requirements and starting criteria
  2. 5.2Solution alternatives and comparative analysis
  3. 5.3Sizing and safety margins
  4. 5.4Selection of materials, equipment or components
  5. 5.5Integration with the rest of the system
  6. 5.6Cost, schedule and manufacturing constraints
  7. 5.7Reliability, maintainability and service life
  8. 5.8Sustainability and efficiency in design
  9. 5.9Design review and risk management
  10. 5.10Exercise: documented design proposal
  1. 6.1Material families and selection criteria
  2. 6.2Critical components and their failure modes
  3. 6.3Manufacturing processes and their limits
  4. 6.4Tolerances, fits and dimensional control
  5. 6.5Treatments, coatings and protection
  6. 6.6Emerging technologies applicable to ADAS and Autonomous Driving
  7. 6.7Obsolescence and continuity of supply
  8. 6.8Environmental footprint and circular economy
  9. 6.9Approval of components and suppliers
  10. 6.10Exercise: comparative technical data sheet
  1. 7.1System architecture and functional breakdown
  2. 7.2Interface definition and control
  3. 7.3Protocols and data exchange
  4. 7.4Progressive integration and interface testing
  5. 7.5Electromagnetic and environmental compatibility
  6. 7.6Configuration management of the whole system
  7. 7.7Resolving conflicts between subsystems
  8. 7.8Commissioning of the integrated system
  9. 7.9Traceability from requirements to verification
  10. 7.10Exercise: interface matrix
  1. 8.1Hazard identification and preliminary analysis
  2. 8.2Failure modes and effects analysis
  3. 8.3Fault trees and quantitative analysis
  4. 8.4Allocation of reliability targets
  5. 8.5Barriers, redundancy and fault tolerance
  6. 8.6Human factors and operating errors
  7. 8.7Safety evidence and argumentation
  8. 8.8Risk management throughout the life cycle
  9. 8.9Indicators and in-service monitoring
  10. 8.10Exercise: risk analysis of a case
  1. 9.1Verification and validation strategy
  2. 9.2Test plan: scope and coverage
  3. 9.3Instrumentation and data acquisition
  4. 9.4Laboratory testing versus field testing
  5. 9.5Model-to-measurement correlation
  6. 9.6Handling uncertainty and tolerances
  7. 9.7Failure analysis and corrective actions
  8. 9.8Commissioning and acceptance criteria
  9. 9.9Documentation of the validation file
  10. 9.10Exercise: validation report
  1. 10.1Commissioning and handover to operation
  2. 10.2Preventive and predictive maintenance plans
  3. 10.3Condition monitoring and diagnostics
  4. 10.4Spare parts, logistics and availability
  5. 10.5Obsolescence management and upgrades
  6. 10.6Availability and performance indicators
  7. 10.7Life-cycle cost
  8. 10.8Life extension and repowering
  9. 10.9Decommissioning and end of life
  10. 10.10Exercise: maintenance plan
  1. 11.1Scope, schedule and cost of the technical project
  2. 11.2Estimating and budget control
  3. 11.3Procurement and supplier relations
  4. 11.4Technical teams and communication
  5. 11.5Technical and economic feasibility analysis
  6. 11.6Environmental and social criteria
  7. 11.7Sustainability regulations and reporting
  8. 11.8Change management and stakeholders
  9. 11.9Project close-out and lessons learned
  10. 11.10Exercise: business case
  1. 12.1Choice of topic and scope of the work
  2. 12.2State of the art and review of sources
  3. 12.3Problem statement and objectives
  4. 12.4Applied research methodology
  5. 12.5Technical development supervised by the thesis director
  6. 12.6Analysis of results and discussion
  7. 12.7Conclusions and future lines of work
  8. 12.8Writing the dissertation
  9. 12.9Preparing the defence
  10. 12.10Master's Thesis: defence before a panel and assessment
Methodology, software & labs

How you'll learn

100% online training on the SEIUM Institute 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 the programme is compatible with full-time work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Medini Analyze, ANSYS medini, Isograph Reliability Workbench, PTC Windchill FMEA and Enterprise Architect, in free, academic or evaluation versions. Testing is studied using real procedures from conformity test benches, EMC pre-compliance laboratories and safety-validation HIL. Assessment is continuous by module plus the final Master's Thesis.

Standards covered: ISO 26262, ISO 21448 (SOTIF), ISO/SAE 21434, UNECE R155, UNECE R156, UNECE R157, IEC 61508, EN 50126 (RAMS), EN 50128, EN 50129.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 26262, ISO 21448 (SOTIF) and ISO/SAE 21434 applied to real cases, not as a theoretical annex.
Industry software:Medini Analyze, ANSYS medini, Isograph Reliability Workbench, PTC Windchill FMEA and Enterprise Architect, in free, academic or evaluation versions.
Master's Thesis with defence:an applied research project in ADAS and Autonomous Driving, 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.

Advanced simulation campaign
Calibrate, optimise and cross-validate the models of the case in a complete simulation campaign.
Documented design proposal
Size the solution and compare components in a documented design proposal and technical data sheet.
Risk analysis and interface matrix
Build the system interface matrix and carry out the risk analysis of the case.
Validation and maintenance plan
Draw up the validation report, the maintenance plan and the business case.
Master's Thesis
An applied research project in ADAS and Autonomous Driving written up as a dissertation, defended before a panel.
Career opportunities

Where this takes you

Functional safety engineerType-approval managerRAMS specialistProduct quality auditorRegulatory compliance managerCertification manager
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.

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, ANSYS medini, Isograph Reliability Workbench and PTC Windchill FMEA, 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 suitable computer 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.

Master’s in ADAS and Autonomous DrivingEnrol
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.