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.
Postgraduate Diploma in In-Vehicle Stores and SDV Operational Telemetry — studying from the United States
The United States is a major center for autonomous driving and advanced driver assistance systems, with significant activity in California, Michigan, Pennsylvania and Texas. Automakers, technology firms and specialized startups develop sensor fusion, perception, planning and vehicle software platforms. The shift toward software-defined vehicles is reshaping traditional engineering roles and increasing demand for embedded software, cybersecurity and systems engineering talent. Federal and state rules on testing and safety create a demanding environment where validation and standards expertise is highly valued.
Fees for the United States: US$1,440 (US Dollars), with instalments and employer sponsorship available.
Relevant bodies in the United States
Typical roles
Questions from the United States
What US bodies and rules govern autonomous and ADAS vehicle engineering?
In the US, NHTSA sets federal vehicle safety standards and has issued guidance on automated driving systems, while states regulate testing and operation on public roads. SAE International's levels of driving automation are the common industry reference. Professional engineering licensure is handled by state boards. SEIUM's qualifications are private and not accredited by any national body, so their recognition is for employers or relevant bodies to decide.
Do US employers in autonomous driving and software-defined vehicles recognize private engineering qualifications?
US companies working on ADAS and software-defined vehicles, including automakers, Tier 1 suppliers and technology firms, mainly look for software, controls and safety-engineering experience. A private qualification can document specialist study, but it is not a standard hiring requirement and its value is assessed by each employer. Projects, code samples and relevant prior roles usually carry more weight.
Can I study autonomous and software-defined vehicle topics from the US alongside my job?
Yes. The programmes are online and taught in English, so you can study from home without a student visa. Expect a significant time commitment: about 1,900 hours for a master's, 800 hours for a postgraduate diploma, or 300 hours for a specialist course. Each student receives an assigned technical tutor. Fees may be paid in instalments, and some employers fund training, which you should discuss with your employer.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Understand software distribution models in the vehicle.
Design the architecture of an in-vehicle application store.
Define application review and certification processes.
Implement operational telemetry for the vehicle.
Build fleet data platforms in the cloud.
Operate fleet software deployments with health indicators.
Apply privacy and regulatory requirements to telemetry.
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.
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
8 modules · 800 h
1.1From firmware to the application catalogue1.2Application stores in current vehicles1.3Google Play on Android Automotive1.4Driver distraction1.5Catalogues by market and model1.6On-demand features1.7Relationship with OTA updates1.8Store value chain1.9Third-party versus first-party applications1.10Case study: analysis of an in-vehicle store
2.1Catalogue and metadata backend2.2In-vehicle store client2.3Licences and entitlements2.4Payments and billing2.5Variant compatibility2.6Packages and delta updates2.7Installation and rollback2.8User identity2.9Multi-user profiles in the vehicle2.10Workshop: store architecture
3.1Automotive quality guidelines3.2Distraction and HMI review3.3Automated testing3.4Security and permissions3.5Privacy verification3.6Package signing3.7Publication policies3.8Application incidents3.9Removing applications from the catalogue3.10Practice: application certification checklist
4.1Objectives of SDV telemetry4.2Signals, events and metrics4.3Sampling and aggregation in the vehicle4.4MQTT and gRPC4.5Compression and bandwidth4.6OpenTelemetry in the vehicle4.7Distributed vehicle-to-cloud tracing4.8On-demand telemetry4.9Local storage during loss of coverage4.10Laboratory: MQTT telemetry pipeline
5.1Ingestion at fleet scale5.2Time series5.3Streaming processing5.4Fleet dashboards5.5Anomaly detection5.6Software versions and faults5.7Retention and cost5.8Access for engineering teams5.9Data catalogue and governance5.10Practice: fleet dashboard with Grafana
6.1Staged cohort deployments6.2A/B experiments6.3Version health6.4Automatic rollback6.5Incident management6.6Predictive maintenance6.7Feedback to development6.8DORA metrics applied to the vehicle6.9Remote feature flags6.10Case study: gradual rollout of a feature
7.1Minimisation and consent7.2Pseudonymisation of identifiers7.3Data Act and user access7.4GDPR and international transfers7.5UN Regulation No. 1567.6Security of the telemetry channel7.7RXSWIN identification7.8Data audits7.9Retention by purpose7.10Workshop: telemetry impact assessment
8.1Scope8.2Store architecture8.3App certification8.4Proposed telemetry8.5Data platform and dashboards8.6Deployment strategy8.7Privacy analysis8.8Success indicators8.9Report and presentation8.10Final review with the tutor
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.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Understand software distribution models in the vehicle.
Design the architecture of an in-vehicle application store.
Define application review and certification processes.
Implement operational telemetry for the vehicle.
Build fleet data platforms in the cloud.
Where this takes you
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.
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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