Postgraduate Diploma in Telemetry, Recording and Field Pack Analytics
Online 800-hour Postgraduate Diploma in Telemetry, Recording and Field Pack Analytics. 8 modules covering ISO 15118-20, ISO 11898-1 and Vector CANalyzer. Assigned tutor and open enrolment.
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
Design telemetry architectures for in-service battery packs.
Decode and manage vehicle data logs.
Build scalable data ingestion and storage pipelines.
Define pack usage and health indicators.
Analyse field degradation using statistical techniques.
Apply field data to warranty and design improvement.
Develop dashboards for fleet operators.
Who it's for
- Battery data engineer looking to specialise in Telemetry, Recording and Field Pack Analytics.
- Electric fleet analyst looking to specialise in Telemetry, Recording and Field Pack Analytics.
- Telematics engineer looking to specialise in Telemetry, Recording and Field Pack Analytics.
- Field reliability engineer looking to specialise in Telemetry, Recording and Field Pack Analytics.
- Data scientist looking to specialise in Telemetry, Recording and Field Pack Analytics.
- Technical warranty engineer looking to specialise in Telemetry, Recording and Field Pack Analytics.
- Engineering or science graduates seeking to enter the electric vehicle industry.
What you'll work with
- ISO 15118-20
- ISO 11898-1
- ASAM MDF 4.2
- Reglamento (UE) 2023/1542
- Reglamento (UE) 2016/679 (RGPD)
- Reglamento (UE) 2023/2854 (Data Act)
- UNECE R155
- SAE J1939
8 modules · 800 h
1.1Data generated by a pack in service1.2BMS, TCU and cloud architecture1.3CAN, CAN FD and automotive Ethernet buses1.4Telematics units and 4G/5G connectivity1.5Sampling rates and resolution1.6Edge computing in the vehicle1.7MQTT and HTTPS protocols1.8Data budget and transmission cost1.9Communication security1.10Workshop: designing a telemetry architecture for a fleet
2.1Data loggers and event recorders2.2MDF4 and BLF formats2.3Frame decoding with DBC2.4Circular buffers and event-triggered capture2.5Recording safety events2.6Time synchronisation and timestamps2.7On-board compression and aggregation2.8BMS usage histograms2.9Log integrity and storage2.10Practical: decoding an MDF4 file with asammdf
3.1Time-series databases3.2Data lakes and Parquet formats3.3Streaming ingestion with Kafka3.4Data modelling by vehicle and cell3.5Data quality and missing values3.6Data governance and GDPR3.7Retention policies3.8Scalability for large fleets3.9Cloud storage costs3.10Workshop: BMS signal ingestion pipeline
4.1Energy throughput and equivalent cycles4.2Temperature and SoC distributions4.3Exposure to fast charging4.4Field-estimated internal resistance4.5Cell voltage dispersion4.6Self-discharge rate4.7Severe-use indicators4.8Fleet availability KPIs4.9Benchmarking between vehicles4.10Case study: KPI dashboard for a bus fleet
5.1Capacity trends from partial charges5.2Detection of anomalous cells5.3Clustering of usage patterns5.4Degradation regression with usage variables5.5Change detection and early alarms5.6Correlation with climatic conditions5.7Comparison with laboratory tests5.8Remaining life estimation for the fleet5.9Visualising results for engineering5.10Practical: detecting weak cells with Python
6.1Using data for warranty claims6.2Capacity warranty criteria6.3Field return analysis6.4Improving BMS calibrations6.5Feedback to cell and pack design6.6Reports for technical management6.7Battery passport data requirements6.8Data access under the Data Act6.9Communication with fleet customers6.10Case study: analysis of a warranty claim
7.1Dashboards with Grafana7.2Automated reports with Python7.3Fleet geospatial maps7.4Real-time alerts7.5Maintenance indicators7.6Interfaces for fleet operators7.7Reproducible notebooks for engineering analysis7.8Version control for analyses7.9Model validation in production7.10Workshop: battery health dashboard
8.1Definition of objectives and KPIs8.2Data capture architecture8.3Processing pipeline8.4Exploratory analysis of fleet data8.5Degradation model8.6Alert system8.7Final dashboard for the operator8.8Deployment plan8.9Report 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 easy to combine with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Vector CANalyzer, asammdf, Python with pandas, Apache Kafka, Grafana, in free, academic or evaluation versions. Tests are studied using real procedures for degradation analysis in electric bus fleets, early detection of anomalous cells and design of battery health dashboards. Assessment is continuous across modules, 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.
Design telemetry architectures for in-service battery packs.
Decode and manage vehicle data logs.
Build scalable data ingestion and storage pipelines.
Define pack usage and health indicators.
Analyse field degradation using statistical techniques.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow technical standards documentation.
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 totals 800 hours spread over 6 to 8 months. That is 10 to 15 hours per week on average, compatible with full-time work.
You will work with Vector CANalyzer, asammdf, Python with pandas, Apache Kafka and Grafana. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM Institute diploma awarded on passing the continuous assessment and the final integrating project. This is in-house training, not an official Ministry qualification.
Yes. Modules passed in a course or Postgraduate Diploma in the same area can be credited towards the advanced programme. Check the recognition policy when you enrol.
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