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Course in Regulatory Data Governance in the Automotive Industry

Online 300-hour course in regulatory data governance in the automotive sector. 6 modules covering Regulation (EU) 2023/2854 (Data Act), Regulation (EU) 2016/679 (GDPR) and Collibra. Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate
Enrol now View syllabus Ask an advisor

Course in Regulatory Data Governance in the Automotive Industry — studying from the United States

Regulatory affairs, safety engineering and homologation are essential across American industries, since products must meet federal and state requirements before reaching the market. Engineers in this field work on reliability, availability, maintainability and safety (RAMS) analysis, certification and conformity assessment. Sectors such as aerospace, automotive, medical devices and energy all require specialized compliance expertise. Standards organizations and government agencies define the frameworks that guide this work.

Fees for the United States: 610 US$ (US Dollars), with instalments and employer sponsorship available.

Relevant bodies in the United States

  • National Institute of Standards and Technology (NIST)
  • Underwriters Laboratories (UL Solutions)
  • ASTM International
  • American Society for Quality (ASQ)

Typical roles

  • Regulatory Affairs Engineer
  • Safety Engineer
  • RAMS Engineer
  • Homologation and Certification Engineer

Questions from the United States

Are SEIUM qualifications accredited in the United States?

SEIUM qualifications are private qualifications and are not official state degrees or accredited higher education awards. Please check with the relevant employer or licensing board about how any credential will be viewed for your purposes.

Will this help me become a licensed Professional Engineer?

SEIUM programmes do not replace the education, examination and experience requirements set by state licensing boards. They can support your professional development, but licensure requirements must be confirmed directly with your state board.

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Learning outcomes

What you will be able to do

01

Identify the regulatory data obligations that affect the connected vehicle.

02

Design a data governance model with roles, policies and responsibilities.

03

Manage type-approval and compliance data with full traceability.

04

Apply the requirements of the GDPR and the Data Act to the vehicle data lifecycle.

05

Integrate information security into data architecture.

06

Select catalogue, lineage and data quality tools.

07

Develop a regulatory data governance plan for a manufacturer.

Profile

Who it's for

  • Data governance manager wishing to specialise in Regulatory Data Governance in the Automotive Industry.
  • Engineering data steward wishing to specialise in Regulatory Data Governance in the Automotive Industry.
  • Data protection officer wishing to specialise in Regulatory Data Governance in the Automotive Industry.
  • Data architect wishing to specialise in Regulatory Data Governance in the Automotive Industry.
  • Regulatory compliance engineer wishing to specialise in Regulatory Data Governance in the Automotive Industry.
  • Data quality analyst wishing to specialise in Regulatory Data Governance in the Automotive Industry.
  • Engineering or science graduates seeking to enter the automotive industry.
Standards & tools

What you'll work with

  • Regulation (EU) 2023/2854 (Data Act)
  • Regulation (EU) 2016/679 (GDPR)
  • Regulation (EU) 2018/858 (vehicle approval)
  • UN Regulation R155 (cybersecurity)
  • UN Regulation R156 (software updates)
  • ISO/IEC 27001 (information security)
  • ISO 8000 (data quality)
Syllabus

6 modules · 300 h

  1. 1.1Vehicle data: types and ownership
  2. 1.2GDPR applied to the connected vehicle
  3. 1.3EDPB Guidelines 01/2020 on connected vehicles
  4. 1.4Data Act and access to vehicle data
  5. 1.5Event data recorder (EDR)
  6. 1.6Regulation (EU) 2019/2144 and DSSAD
  7. 1.7UNECE R155 and R156
  8. 1.8AI Act and data governance
  9. 1.9Access to repair and maintenance data
  10. 1.10Case study: regulatory data inventory for a manufacturer
  1. 2.1Roles: data owner, custodian and steward
  2. 2.2DAMA-DMBOK and DCAM frameworks
  3. 2.3Data governance committee
  4. 2.4Policies, standards and procedures
  5. 2.5Data catalogue and business glossary
  6. 2.6Information classification
  7. 2.7Metadata and lineage management
  8. 2.8Data quality indicators
  9. 2.9Governance maturity
  10. 2.10Workshop: data governance RACI matrix
  1. 3.1Type-approval data
  2. 3.2Production conformity records
  3. 3.3Emissions and OBFCM data
  4. 3.4Software traceability and OTA updates
  5. 3.5Functional safety records management
  6. 3.6Evidence for CSMS and SUMS audits
  7. 3.7Field data and safety monitoring
  8. 3.8Regulatory retention and archiving
  9. 3.9Recall campaign management
  10. 3.10Exercise: retention plan for type-approval records
  1. 4.1Data protection impact assessment
  2. 4.2Legal bases and consent in the vehicle
  3. 4.3Minimisation and pseudonymisation
  4. 4.4Geolocation and driving data
  5. 4.5International data transfers
  6. 4.6Manufacturer back-end security
  7. 4.7ISO/IEC 27001 and TISAX
  8. 4.8Security breach management
  9. 4.9Data subject rights
  10. 4.10Case study: DPIA for a telematics service
  1. 5.1Connected vehicle data platforms
  2. 5.2Data lakes and lakehouse architecture
  3. 5.3Catalogues: Collibra and DataHub
  4. 5.4Automated data quality
  5. 5.5Attribute-based access control
  6. 5.6Data spaces: Catena-X and Gaia-X
  7. 5.7Data sharing with suppliers
  8. 5.8Audit logging and traceability
  9. 5.9Data governance for AI
  10. 5.10Lab: data lineage in a catalogue
  1. 6.1Scope and case selection
  2. 6.2Inventory of obligations
  3. 6.3Data and flow mapping
  4. 6.4Designing the governance model
  5. 6.5Definition of key policies
  6. 6.6Quality and security controls
  7. 6.7Phased implementation plan
  8. 6.8Monitoring indicators
  9. 6.9Report and presentation
  10. 6.10Final review with the tutor
Methodology, software & labs

How you'll learn

100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it easy to combine with work.

Each module combines theory, guided reading of the original standard and applied exercises. The software used is Collibra, Microsoft Purview, SQL, Python (pandas), Power BI, in free, academic or evaluation versions. Case studies are based on real procedures from data lineage audits, data protection impact assessments and review of approval-file data. Assessment is continuous per module, plus a final integrative project.

Accreditable laboratories(EN ISO/IEC 17025) with a rotor rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-focused Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry mentorship:lecturers with a track record 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 OT cybersecurity, 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.

Scope and case selection

Identify the regulatory data obligations that affect the connected vehicle.

Inventory of obligations

Design a data governance model with roles, policies and responsibilities.

Data and flow mapping

Manage type-approval and compliance data with full traceability.

Designing the governance model

Apply the requirements of the GDPR and the Data Act to the vehicle data lifecycle.

Definition of key policies

Integrate information security into data architecture.

Career opportunities

Where this takes you

Data governance managerEngineering data stewardData protection officerData architectRegulatory compliance engineerData quality analyst
Admissions & scholarships

Requirements

  • No prior degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • 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 totals 300 hours spread over 3 to 5 months. That is an average of 10 to 15 hours a week, compatible with a full-time job.

You will work with Collibra, Microsoft Purview, SQL, Python (pandas) and Power BI. Free, academic or evaluation versions are used, and the tutor will indicate the open-source alternative where one exists.

An SEIUM Institute diploma upon passing the continuous assessment and the integrative project. It is in-house training, not an official qualification issued by the Ministry.

Yes. Modules passed in a Course or Postgraduate Diploma in the same area are credited towards the higher-level programme. Please consult the credit transfer policy when you enrol.

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