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Master'sBusiness, Management & Technology Policy Applications open

Master’s in Platform and Ecosystem Strategy Engineering for SDVs

Online master's programme of 1,900 hours in software-defined vehicle (SDV) platform and ecosystem strategy engineering. 12 modules covering SDV architecture, platform theory, digital business models, functional safety and cybersecurity, software operations, alliances, vehicle data regulation, product strategy and competitive scenarios, 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

Understand the technical architecture of the software-defined vehicle.

02

Analyse platforms and ecosystems using economic theory.

03

Design business models based on software and data.

04

Apply functional safety and cybersecurity requirements, including UN R155 and R156.

05

Assess the implications of the European Data Act.

06

Plan alliances and ecosystem governance.

07

Formulate long-term competitive strategies.

Profile

Who it's for

  • Automotive digital product strategists shaping connected services and features on demand.
  • Vehicle software architects working on zonal and centralised E/E architectures.
  • Ecosystem and alliance managers negotiating with tech partners and Tier 1 suppliers.
  • Connected mobility consultants advising manufacturers and fleets.
  • Automotive cybersecurity leads who need a broader strategic view.
  • Software platform directors at manufacturers and suppliers.
  • Engineering or science graduates seeking to enter the automotive sector.
Standards & tools

What you'll work with

  • ISO 26262:2018 (road vehicles functional safety)
  • ISO/SAE 21434:2021 (cybersecurity engineering)
  • UN R155 (cybersecurity management system)
  • UN R156 (software update management)
  • ISO 24089:2023 (software update engineering)
  • ISO 21448:2022 (safety of the intended functionality, SOTIF)
  • Regulation (EU) 2023/2854 (Data Act)
  • Automotive SPICE 4.0 (process assessment model)
  • Vector CANoe
  • MATLAB/Simulink
  • Eclipse SDV
  • dSPACE VEOS
  • Enterprise Architect
Syllabus

12 modules · 1900 h

  1. 1.1From the distributed to the centralised vehicle
  2. 1.2Zonal architectures and central computers
  3. 1.3Decoupling hardware and software
  4. 1.4Software life cycle in the vehicle
  5. 1.5Over-the-air (OTA) updates
  6. 1.6Features on demand
  7. 1.7Fleet data as an asset
  8. 1.8Changes in the automotive value chain
  9. 1.9Technology players entering the sector
  10. 1.10Case study: comparing the architectures of three manufacturers
  1. 2.1Control units and CAN and Ethernet networks
  2. 2.2AUTOSAR Classic and Adaptive
  3. 2.3Real-time operating systems
  4. 2.4Hypervisors and virtualisation
  5. 2.5SOME/IP and DDS middleware
  6. 2.6Service-oriented architectures
  7. 2.7The COVESA VSS data model
  8. 2.8Central computing platforms
  9. 2.9Vehicle-to-cloud connection
  10. 2.10Lab: service modelling with SOME/IP
  1. 3.1Technology and transaction platforms
  2. 3.2Complementors and external developers
  3. 3.3Network effects in the automotive industry
  4. 3.4Modularity and standard interfaces
  5. 3.5Controlled openness strategy
  6. 3.6Supplier ecosystems and alliances
  7. 3.7Value capture in ecosystems
  8. 3.8Mobile ecosystems as a benchmark
  9. 3.9Risks of technology dependence
  10. 3.10Case study: in-vehicle app ecosystem
  1. 4.1Recurring software revenue
  2. 4.2Subscriptions and feature activation
  3. 4.3In-vehicle app marketplaces
  4. 4.4Usage-based insurance
  5. 4.5Monetisation of driving data
  6. 4.6Mobility and fleet services
  7. 4.7Dynamic pricing and bundles
  8. 4.8Customer acceptance and perceived value
  9. 4.9Customer lifetime metrics
  10. 4.10Workshop: business model canvas for a connected service
  1. 5.1Functional safety to ISO 26262
  2. 5.2Safety of the intended functionality to ISO 21448
  3. 5.3Cybersecurity engineering to ISO/SAE 21434
  4. 5.4UN R155 cybersecurity management system
  5. 5.5Update management to UN R156 and ISO 24089
  6. 5.6TARA threat analysis
  7. 5.7Secure boot and HSM modules
  8. 5.8Fleet security monitoring
  9. 5.9Manufacturer liability
  10. 5.10Practical exercise: TARA of a connected function
  1. 6.1Automotive SPICE and process maturity
  2. 6.2Continuous integration and deployment
  3. 6.3SIL and HIL in-the-loop testing
  4. 6.4Virtual vehicles and digital twins
  5. 6.5Variant and configuration management
  6. 6.6Open-source software in the automotive industry
  7. 6.7Open-source licences and compliance
  8. 6.8Fleet DevOps
  9. 6.9Software quality metrics
  10. 6.10Lab: CI pipeline with SIL testing
  1. 7.1Eclipse SDV and COVESA consortia
  2. 7.2Alliances with big tech companies
  3. 7.3Software joint ventures
  4. 7.4Contracts and licensing agreements
  5. 7.5Open API governance
  6. 7.6Standards and standardisation bodies
  7. 7.7Relationship with Tier 1 suppliers
  8. 7.8Managing shared intellectual property
  9. 7.9Conflict resolution in alliances
  10. 7.10Case study: negotiating a software alliance
  1. 8.1The EU Data Act
  2. 8.2Third-party access to data
  3. 8.3Protection of drivers' personal data
  4. 8.4EDPB guidelines for connected vehicles
  5. 8.5Neutral data-access architectures
  6. 8.6Consent and transparency
  7. 8.7Data for maintenance and repair
  8. 8.8Competition and access to the aftermarket
  9. 8.9Data sovereignty and the European cloud
  10. 8.10Practical exercise: mapping a vehicle's data flows
  1. 9.1In-cabin digital experience
  2. 9.2Voice assistants and generative AI
  3. 9.3Integration with mobile ecosystems
  4. 9.4Driver personalisation
  5. 9.5Interface design and distraction
  6. 9.6Digital product life cycle
  7. 9.7User research
  8. 9.8Feature roadmaps
  9. 9.9Usage and satisfaction metrics
  10. 9.10Workshop: product definition for an infotainment system
  1. 10.1From manufacturer to software company
  2. 10.2Attracting digital talent
  3. 10.3Organising around internal platforms
  4. 10.4Software procurement models
  5. 10.5Agile culture in regulated environments
  6. 10.6Software costs and budgets
  7. 10.7Integrating technology acquisitions
  8. 10.8Transformation indicators
  9. 10.9Project risk management
  10. 10.10Case study: reorganising a software division
  1. 11.1Market evolution scenarios
  2. 11.2Chinese manufacturers and new entrants
  3. 11.3Vertical integration strategies
  4. 11.4Platforms shared across brands
  5. 11.5Competitive analysis of ecosystems
  6. 11.6Valuing software investments
  7. 11.7Regulatory and geopolitical risks
  8. 11.8Semiconductors and the supply chain
  9. 11.9Ten-year strategic roadmap
  10. 11.10Practical exercise: market scenarios for 2035
  1. 12.1Framing the strategic problem
  2. 12.2Ecosystem and stakeholder analysis
  3. 12.3Technology and competitive diagnosis
  4. 12.4Business model design
  5. 12.5Regulatory and risk assessment
  6. 12.6Implementation plan
  7. 12.7Economic and financial analysis of the plan
  8. 12.8Validation with industry experts
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

The programme is delivered 100% online on the SEIUM campus, with downloadable materials, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so you can combine it with your job.

Each module combines theory, guided reading of the original standards and applied exercises. The working software is Vector CANoe, MATLAB/Simulink, Eclipse SDV, dSPACE VEOS and Enterprise Architect, in free, academic or evaluation versions. Exercises are based on real procedures: evaluating a features-on-demand business model, carrying out a TARA on a connected architecture and designing a technology alliance strategy. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: ISO 26262:2018, ISO/SAE 21434:2021, UN R155, UN R156, ISO 24089:2023, ISO 21448:2022 (SOTIF), Regulation (EU) 2023/2854 (Data Act) and Automotive SPICE 4.0.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 26262, ISO/SAE 21434 and UN R155 applied to real cases, not as a theoretical annex.
Industry software:Vector CANoe, MATLAB/Simulink, Eclipse SDV, dSPACE VEOS and Enterprise Architect, in free, academic or evaluation versions.
Master's Thesis with defence:a platform strategy for the software-defined vehicle, with business model, regulatory assessment and implementation 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.

Architecture benchmarking
Compare the SDV architectures of three manufacturers and model services with SOME/IP.
Connected service business model
Build a business model canvas for a features-on-demand connected service.
TARA of a connected function
Carry out a threat analysis and risk assessment in line with ISO/SAE 21434 and UN R155.
Vehicle data flow map
Map a vehicle's data flows against the EU Data Act and GDPR requirements.
Master's Thesis
An SDV platform strategy with ecosystem analysis, business model and implementation plan, defended before a panel.
Career opportunities

Where this takes you

Automotive digital product strategistVehicle software architectEcosystem and alliance managerConnected mobility consultantAutomotive cybersecurity leadSoftware platform director
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 Vector CANoe, MATLAB/Simulink, Eclipse SDV, dSPACE VEOS and Enterprise Architect, 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 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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