Postgraduate DiplomaAutonomous, ADAS & Software-Defined Vehicle Applications open

Postgraduate Diploma in In-Vehicle Stores and SDV Operational Telemetry

Online 800-hour Postgraduate Diploma in In-Vehicle Stores and SDV Operational Telemetry. 8 modules covering UN Regulation No. 156, Regulation (EU) 2016/679 (GDPR) and Grafana. Dedicated tutor and enrolment open.

Duration800 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 software distribution models in the vehicle.

02

Design the architecture of an in-vehicle application store.

03

Define application review and certification processes.

04

Implement operational telemetry for the vehicle.

05

Build fleet data platforms in the cloud.

06

Operate fleet software deployments with health indicators.

07

Apply privacy and regulatory requirements to telemetry.

Profile

Who it's for

  • SDV platform engineer looking to specialise in In-Vehicle Stores and SDV Operational Telemetry.
  • Connected vehicle data engineer looking to specialise in In-Vehicle Stores and SDV Operational Telemetry.
  • Fleet SRE engineer looking to specialise in In-Vehicle Stores and SDV Operational Telemetry.
  • Digital services product manager looking to specialise in In-Vehicle Stores and SDV Operational Telemetry.
  • Backend engineer looking to specialise in In-Vehicle Stores and SDV Operational Telemetry.
  • Data privacy specialist looking to specialise in In-Vehicle Stores and SDV Operational Telemetry.
  • Engineering or science graduates seeking to enter the automotive sector.
Standards & tools

What you'll work with

  • Reglamento ONU n.º 156
  • Reglamento (UE) 2016/679 (RGPD)
  • Reglamento (UE) 2023/2854 (Data Act)
  • Reglamento ONU n.º 155
  • ISO 24089:2023
  • ISO/SAE 21434:2021
  • OASIS MQTT 5.0
  • ISO 15005:2017
Syllabus

8 modules · 800 h

  1. 1.1From firmware to the application catalogue
  2. 1.2Application stores in current vehicles
  3. 1.3Google Play on Android Automotive
  4. 1.4Driver distraction
  5. 1.5Catalogues by market and model
  6. 1.6On-demand features
  7. 1.7Relationship with OTA updates
  8. 1.8Store value chain
  9. 1.9Third-party versus first-party applications
  10. 1.10Case study: analysis of an in-vehicle store
  1. 2.1Catalogue and metadata backend
  2. 2.2In-vehicle store client
  3. 2.3Licences and entitlements
  4. 2.4Payments and billing
  5. 2.5Variant compatibility
  6. 2.6Packages and delta updates
  7. 2.7Installation and rollback
  8. 2.8User identity
  9. 2.9Multi-user profiles in the vehicle
  10. 2.10Workshop: store architecture
  1. 3.1Automotive quality guidelines
  2. 3.2Distraction and HMI review
  3. 3.3Automated testing
  4. 3.4Security and permissions
  5. 3.5Privacy verification
  6. 3.6Package signing
  7. 3.7Publication policies
  8. 3.8Application incidents
  9. 3.9Removing applications from the catalogue
  10. 3.10Practice: application certification checklist
  1. 4.1Objectives of SDV telemetry
  2. 4.2Signals, events and metrics
  3. 4.3Sampling and aggregation in the vehicle
  4. 4.4MQTT and gRPC
  5. 4.5Compression and bandwidth
  6. 4.6OpenTelemetry in the vehicle
  7. 4.7Distributed vehicle-to-cloud tracing
  8. 4.8On-demand telemetry
  9. 4.9Local storage during loss of coverage
  10. 4.10Laboratory: MQTT telemetry pipeline
  1. 5.1Ingestion at fleet scale
  2. 5.2Time series
  3. 5.3Streaming processing
  4. 5.4Fleet dashboards
  5. 5.5Anomaly detection
  6. 5.6Software versions and faults
  7. 5.7Retention and cost
  8. 5.8Access for engineering teams
  9. 5.9Data catalogue and governance
  10. 5.10Practice: fleet dashboard with Grafana
  1. 6.1Staged cohort deployments
  2. 6.2A/B experiments
  3. 6.3Version health
  4. 6.4Automatic rollback
  5. 6.5Incident management
  6. 6.6Predictive maintenance
  7. 6.7Feedback to development
  8. 6.8DORA metrics applied to the vehicle
  9. 6.9Remote feature flags
  10. 6.10Case study: gradual rollout of a feature
  1. 7.1Minimisation and consent
  2. 7.2Pseudonymisation of identifiers
  3. 7.3Data Act and user access
  4. 7.4GDPR and international transfers
  5. 7.5UN Regulation No. 156
  6. 7.6Security of the telemetry channel
  7. 7.7RXSWIN identification
  8. 7.8Data audits
  9. 7.9Retention by purpose
  10. 7.10Workshop: telemetry impact assessment
  1. 8.1Scope
  2. 8.2Store architecture
  3. 8.3App certification
  4. 8.4Proposed telemetry
  5. 8.5Data platform and dashboards
  6. 8.6Deployment strategy
  7. 8.7Privacy analysis
  8. 8.8Success indicators
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

Fully 100% online training 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 study with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Grafana, Eclipse Mosquitto, OpenTelemetry, Apache Kafka, Android Automotive OS, in free, academic or evaluation versions. The practicals are based on real procedures for designing in-vehicle store architecture, fleet telemetry pipelines with MQTT, and staged deployment of a feature with monitoring. Assessment is continuous, module by module, plus the final integrating project.

Accreditable laboratories(EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry Mentored:teachers with experience in training, , eVTOL/UAM and flight test.
Flexible modality(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Scope

Understand software distribution models in the vehicle.

Store architecture

Design the architecture of an in-vehicle application store.

App certification

Define application review and certification processes.

Proposed telemetry

Implement operational telemetry for the vehicle.

Data platform and dashboards

Build fleet data platforms in the cloud.

Career opportunities

Where this takes you

SDV platform engineerConnected vehicle data engineerFleet SRE engineerDigital services product managerBackend engineerData privacy specialist
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. A university degree is not required.
  • Internet connection and a computer capable of running the programme's software.
  • Spanish language proficiency sufficient 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.

FAQ

Frequently asked questions

The programme comprises 800 hours in total, spread over 6 to 8 months. That is between 10 and 15 hours a week on average, compatible with a full-time job.

You will work with Grafana, Eclipse Mosquitto, OpenTelemetry, Apache Kafka, Android Automotive OS. Free, academic or evaluation versions are used, and the tutor will indicate the open-source alternative where one exists.

An own diploma from SEIUM upon passing continuous assessment and the final integrating project. It is in-house training, not an official qualification from the Ministry.

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

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