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

Master’s in SDV/ADAS Product Management Engineering

Online master's programme of 1,900 hours in SDV/ADAS product management engineering: 12 modules covering product discovery, requirements and specification, roadmaps and prioritisation, scaled agile, data-driven product, feature pricing and monetisation, launch and life cycle, safety and regulation, stakeholders and platform strategy, 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

Apply product management practices to the software-defined vehicle.

02

Carry out product discovery with users and data.

03

Translate needs into traceable requirements.

04

Prioritise roadmaps using structured methods.

05

Measure the adoption and value of features.

06

Design feature monetisation strategies.

07

Develop an SDV/ADAS product management project.

Profile

Who it's for

  • ADAS product managers.
  • Vehicle software product owners.
  • Connected features managers.
  • Product analysts.
  • Software programme managers.
  • Product strategy consultants.
  • Engineering or science graduates seeking to enter the automotive sector.
Standards & tools

What you'll work with

  • ISO 26262 (road vehicle functional safety)
  • ISO 21448 (SOTIF — safety of the intended functionality)
  • UN ECE R155 (cybersecurity management system)
  • UN ECE R156 (software update management system)
  • Regulation (EU) 2019/2144 (General Safety Regulation for vehicles)
  • ISO/IEC/IEEE 29148 (requirements engineering)
  • Automotive SPICE 4.0 (automotive software process assessment)
  • SAE J3016 (levels of driving automation)
  • Jira
  • Productboard
  • Polarion ALM
  • Amplitude
  • Figma
Syllabus

12 modules · 1900 h

  1. 1.1The product manager's role in the software-defined vehicle
  2. 1.2Differences from digital product management
  3. 1.3Vehicle versus software development cycles
  4. 1.4Product owner, product manager and project manager
  5. 1.5Interaction with engineering, safety and type approval
  6. 1.6ADAS product: from function to experience
  7. 1.7Technical skills of the product manager
  8. 1.8Product frameworks
  9. 1.9Common mistakes in automotive products
  10. 1.10Case study: anatomy of a successful ADAS feature
  1. 2.1ADAS user research
  2. 2.2Interviews and concept testing
  3. 2.3Analysis of feature usage data
  4. 2.4Jobs to be done in mobility
  5. 2.5Analysis of complaints and ratings
  6. 2.6Benchmarking competitors' features
  7. 2.7Validating hypotheses with prototypes
  8. 2.8Prioritising opportunities
  9. 2.9Synthesising and documenting discovery
  10. 2.10Lab: opportunity map for an L2+ system
  1. 3.1From user needs to requirements
  2. 3.2Functional and non-functional requirements
  3. 3.3Specifying the feature's ODD
  4. 3.4Derived safety requirements
  5. 3.5Regulatory requirements by market
  6. 3.6User stories and acceptance criteria
  7. 3.7Requirements management in Polarion or Jama
  8. 3.8Traceability to validation
  9. 3.9Managing requirement changes
  10. 3.10Practical exercise: specification of a parking feature
  1. 4.1Outcome-oriented roadmaps
  2. 4.2Prioritisation with RICE, Kano and WSJF
  3. 4.3Hardware and software dependencies
  4. 4.4Planning by platform and model
  5. 4.5Managing variants by market
  6. 4.6Balancing innovation and technical debt
  7. 4.7Communicating the roadmap
  8. 4.8Quarterly priority reviews
  9. 4.9Alignment with corporate strategy
  10. 4.10Workshop: three-year SDV feature roadmap
  1. 5.1Scrum and Kanban in automotive
  2. 5.2SAFe and LeSS frameworks
  3. 5.3Agility compatible with ISO 26262
  4. 5.4Increment planning
  5. 5.5Multi-team backlog management
  6. 5.6Coordination with suppliers
  7. 5.7Integrating hardware into agile cycles
  8. 5.8Flow metrics
  9. 5.9Retrospectives and improvement
  10. 5.10Lab: simulated PI planning
  1. 6.1Feature adoption and usage metrics
  2. 6.2Feature telemetry across the fleet
  3. 6.3Activation and deactivation rates
  4. 6.4Satisfaction indicators
  5. 6.5A/B experimentation in vehicles
  6. 6.6Ethical limits of experimentation
  7. 6.7Product dashboards
  8. 6.8Data-driven decision-making
  9. 6.9Privacy in analytics
  10. 6.10Practical exercise: metrics dashboard for an ACC
  1. 7.1Standard versus optional features
  2. 7.2Features on demand via OTA
  3. 7.3ADAS subscriptions
  4. 7.4Customer willingness to pay
  5. 7.5Bundles and segmentation
  6. 7.6Price testing
  7. 7.7Customer perception of recurring payments
  8. 7.8Legal aspects of monetisation
  9. 7.9Recurring revenue analysis
  10. 7.10Workshop: pricing model for an L2+ system
  1. 8.1Launch planning
  2. 8.2Coordination with type approval
  3. 8.3Dealer training
  4. 8.4Customer communication
  5. 8.5OTA launch
  6. 8.6Data-driven post-launch monitoring
  7. 8.7Iterative feature improvement
  8. 8.8Feature end of life
  9. 8.9Managing expectations
  10. 8.10Case study: OTA launch of a new feature
  1. 9.1Impact of functional safety on the product
  2. 9.2SOTIF as a product decision
  3. 9.3Cybersecurity and connected features
  4. 9.4ADAS regulation and its evolution
  5. 9.5Euro NCAP programmes as a requirement
  6. 9.6Responsible communication of capabilities
  7. 9.7Feature naming and risk
  8. 9.8Manufacturer liability
  9. 9.9Recall management
  10. 9.10Practical exercise: analysis of Euro NCAP requirements
  1. 10.1Stakeholder map
  2. 10.2Negotiating with engineering
  3. 10.3Relationship with Tier 1 suppliers
  4. 10.4Communicating with senior management
  5. 10.5Leading without formal authority
  6. 10.6Coordinating multidisciplinary teams
  7. 10.7Conflict management
  8. 10.8Executive product presentations
  9. 10.9Shared decision-making
  10. 10.10Workshop: product committee simulation
  1. 11.1Platform products versus features
  2. 11.2APIs and third-party ecosystem
  3. 11.3Reuse across models
  4. 11.4Feature scalability
  5. 11.5Managing the product architecture
  6. 11.6Collaboration with platform teams
  7. 11.7Make-or-buy decisions
  8. 11.8Technology alliances with third parties
  9. 11.9Platform indicators
  10. 11.10Case study: ADAS platform strategy
  1. 12.1Opportunity discovery
  2. 12.2Product and ODD definition
  3. 12.3Requirements specification
  4. 12.4Roadmap and prioritisation
  5. 12.5Monetisation strategy
  6. 12.6Metrics plan
  7. 12.7Launch plan
  8. 12.8Conclusions and recommendations
  9. 12.9Master's Thesis 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 full-time work.

Each module combines theory, guided reading of the original standards and applied exercises. The working software is Jira, Productboard, Polarion ALM, Amplitude and Figma, in free, academic or evaluation versions. Work is based on real procedures for product discovery with users, feature telemetry analysis and roadmap definition. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: ISO 26262, ISO 21448, UN ECE R155, UN ECE R156, Regulation (EU) 2019/2144 (General Safety), ISO/IEC/IEEE 29148, Automotive SPICE 4.0, SAE J3016.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 26262, ISO 21448, UN ECE R155/R156 and ISO/IEC/IEEE 29148 applied to real cases, not as a theoretical annex.
Industry software:Jira, Productboard, Polarion ALM, Amplitude and Figma, in free, academic or evaluation versions.
Master's Thesis with defence:A complete SDV/ADAS product management project, from opportunity discovery and product definition to requirements, roadmap, monetisation, metrics and launch plan, 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.

Opportunity discovery
Discover the opportunity and define the product and its ODD.
Requirements specification
Translate user needs into traceable requirements.
Roadmap and monetisation
Build the prioritised roadmap and the monetisation strategy.
Metrics and launch
Define the metrics plan and the launch plan.
Master's Thesis
Present the conclusions and recommendations of the product project, defended before a panel.
Career opportunities

Where this takes you

ADAS Product ManagerVehicle Software Product OwnerConnected Features ManagerProduct AnalystSoftware Programme ManagerProduct Strategy Consultant
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's 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 Jira, Productboard, Polarion ALM, Amplitude and Figma, 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's 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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