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CourseInsurance, Risk & Actuarial Data Enrolment open

Course in Vehicle Data Damage Coverage

Online 300-hour course in vehicle data damage coverage. 6 modules covering Regulation (EU) 2023/2854 (Data Act), Regulation (EU) 2016/679 (GDPR) and Python (pandas). Assigned tutor and open enrolment.

Duration300 h
ModeHybrid
LanguageEnglish / Spanish
Start datesOctober / March
LocationEurope (Madrid)
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Recognise vehicle data as an asset with economic and legal value.

02

Identify scenarios of data loss, corruption or unavailability.

03

Analyse the legal framework governing access to, ownership of and protection of vehicle data.

04

Design insurance coverage for damage to vehicle data.

05

Establish prevention measures and claims management protocols.

06

Quantify the economic impact of a data incident.

07

Develop an integrated project for a data insurance product.

Profile

Who it's for

  • Automotive cyber risk underwriter wishing to specialise in Vehicle Data Damage Coverage.
  • Connected vehicle data analyst wishing to specialise in Vehicle Data Damage Coverage.
  • Digital insurance product manager wishing to specialise in Vehicle Data Damage Coverage.
  • Technology and data lawyer wishing to specialise in Vehicle Data Damage Coverage.
  • Technology claims handler wishing to specialise in Vehicle Data Damage Coverage.
  • Connected mobility risk consultant wishing to specialise in Vehicle Data Damage Coverage.
  • Engineering or science graduates seeking to enter automotive insurance.
Standards & tools

What you'll work with

  • Regulation (EU) 2023/2854 (Data Act)
  • Regulation (EU) 2016/679 (GDPR)
  • UNECE Regulation No. 155 (vehicle cybersecurity)
  • ISO/SAE 21434 (cybersecurity engineering for road vehicles)
  • ISO 20078 (extended vehicle)
  • Directive (EU) 2024/2853 (liability for defective products)
  • Law 50/1980 on Insurance Contracts
Syllabus

6 modules · 300 h

  1. 1.1Types of data generated by the vehicle
  2. 1.2Diagnostic, usage and position data
  3. 1.3Data from driver assistance systems
  4. 1.4Infotainment and user data
  5. 1.5Ownership of and access to vehicle data
  6. 1.6Stakeholders interested in the data
  7. 1.7Sector vocabulary and acronyms
  8. 1.8Economic value of data
  9. 1.9Manufacturer dependency
  10. 1.10Exercise: inventory of a vehicle's data
  1. 2.1Loss due to vehicle breakdown
  2. 2.2Loss due to accident and destruction
  3. 2.3Data corruption and software failure
  4. 2.4Cyberattack and data hijacking
  5. 2.5Interruption of manufacturer service
  6. 2.6Human error and deletion
  7. 2.7Cloud provider failure
  8. 2.8Loss of access due to change of owner
  9. 2.9Economic consequences of each scenario
  10. 2.10Practice: analysis of a data loss scenario
  1. 3.1Applicable data protection legislation
  2. 3.2European data legislation and access
  3. 3.3Type approval and event data recorder data
  4. 3.4Vehicle cybersecurity regulations
  5. 3.5Contracts between manufacturer, fleet and user
  6. 3.6Access and portability clauses
  7. 3.7Liability for data loss
  8. 3.8Evidential value of data in a claim
  9. 3.9Mandatory retention
  10. 3.10Practice: review of data clauses
  1. 4.1Own damage versus damage to data
  2. 4.2Data reconstruction coverage
  3. 4.3Fleet business interruption
  4. 4.4Third-party liability
  5. 4.5Incident response costs
  6. 4.6Common exclusions
  7. 4.7Limits and deductibles
  8. 4.8Prevention requirements for the insured
  9. 4.9Interaction with cyber insurance
  10. 4.10Practice: designing a data coverage
  1. 5.1Backups and their verification
  2. 5.2Segregation and encryption
  3. 5.3Access and identity management
  4. 5.4Incident response plan
  5. 5.5Assessment of a data claim
  6. 5.6Valuation of damage and its difficulty
  7. 5.7Recovery and its cost
  8. 5.8Coordination with manufacturer and suppliers
  9. 5.9Monitoring indicators
  10. 5.10Practice: fleet response protocol
  1. 6.1Choice of fleet and its system
  2. 6.2Inventory of data and dependencies
  3. 6.3Prioritised loss scenarios
  4. 6.4Legal and contractual analysis
  5. 6.5Design of the proposed coverage
  6. 6.6Prevention and response plan
  7. 6.7Monitoring indicators
  8. 6.8Implementation plan
  9. 6.9Project report
  10. 6.10Defence of the work
Methodology, software & labs

How you'll learn

Training is 100% online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it possible to combine the course with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python (pandas), Vector CANoe, advanced Excel, Power BI, in free, academic or evaluation versions. Tests are studied using real procedures for scenarios of loss or corruption of vehicle data, contractual analysis of data ownership, and economic valuation of data assets. Assessment is continuous, by module, plus the final integrated project.

Accredited laboratories(EN ISO/IEC 17025) with rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-focused thesis project:safety case, test plan, compliance dossier and operational limits.
Industry 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 ciber-OT, 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 fleet and its system

Recognise vehicle data as an asset with economic and legal value.

Inventory of data and dependencies

Identify scenarios of data loss, corruption or unavailability.

Prioritised loss scenarios

Analyse the legal framework governing access to, ownership of and protection of vehicle data.

Legal and contractual analysis

Design insurance coverage for damage to vehicle data.

Design of the proposed coverage

Establish prevention measures and claims management protocols.

Career opportunities

Where this takes you

Automotive cyber risk underwriterConnected vehicle data analystDigital insurance product managerTechnology and data lawyerTechnology claims handlerConnected mobility risk consultant
Admissions & scholarships

Requirements

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

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 consists of 300 total hours spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.

The course uses Python (pandas), Vector CANoe, advanced Excel and Power BI. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.

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

Yes. Modules passed in a course or Postgraduate Diploma in the same area are recognised towards the higher programme. Check the recognition policy when you enrol.

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