Postgraduate Diploma in OTA, Telemetry and Digital Fleet Maintenance 2R
Online 800-hour Postgraduate Diploma in OTA, Telemetry and Digital Fleet Maintenance 2R. 8 modules covering UN R155, UN R156 and AWS IoT Core. Assigned tutor and open enrolment.
Postgraduate Diploma in OTA, Telemetry and Digital Fleet Maintenance 2R — studying from Singapore
Singapore has a sizeable two-wheeler market, with motorcycles and scooters forming an important part of urban transport. Regulation of vehicle registration, emissions and safety falls under the Land Transport Authority and the National Environment Agency. Engineering work includes vehicle maintenance, electric scooter development, component design and compliance testing. Employers include dealership groups, service providers and companies supplying electric two-wheelers across the region.
Fees for Singapore: S$1,560 (Singapore dollar), with instalments and employer sponsorship available.
Relevant bodies in Singapore
Typical roles
Questions from Singapore
Will this qualification be recognised by professional bodies in Singapore?
SEIUM's qualifications are private, not official state degrees, and are not accredited by any national body in Singapore. Vehicle engineering roles in Singapore are generally judged on employer requirements and relevant experience, and the Professional Engineers Board governs formal Professional Engineer registration. Recognition of a private qualification is decided by employers or the relevant body, so verify this before enrolling.
How might this training be used by employers in Singapore?
Singapore has a limited automotive manufacturing base, so 2-wheeler engineering opportunities are mainly in servicing, distribution, component supply, design support and motorsport-related work. An online private qualification may help you demonstrate knowledge, but it does not guarantee a role. Employers usually weigh hands-on experience and project evidence highly.
Can I study this alongside a full-time job, and can my employer help fund it?
The programme is online and taught in English, so you can study from home in Singapore with no student visa required. Workload is significant, with 800 to 1,900 hours depending on the programme, so plan around your job. Fees can be paid in instalments, and employer sponsorship is possible; ask your employer whether they fund job-related courses.
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 telematics architectures for two-wheeler fleets.
Build telemetry channels and data storage.
Implement secure remote software updates.
Develop predictive maintenance models.
Manage a fleet operationally using indicators.
Apply cybersecurity and privacy requirements.
Propose digital services based on fleet data.
Who it's for
- Telematics engineer who wants to specialise in OTA, Telemetry and Digital Fleet Maintenance 2R.
- Data engineer who wants to specialise in OTA, Telemetry and Digital Fleet Maintenance 2R.
- Fleet manager who wants to specialise in OTA, Telemetry and Digital Fleet Maintenance 2R.
- OTA software engineer who wants to specialise in OTA, Telemetry and Digital Fleet Maintenance 2R.
- Predictive maintenance analyst who wants to specialise in OTA, Telemetry and Digital Fleet Maintenance 2R.
- Cybersecurity engineer who wants to specialise in OTA, Telemetry and Digital Fleet Maintenance 2R.
- Engineering or science graduates looking to enter delivery fleets.
What you'll work with
- UN R155
- UN R156
- ISO/SAE 21434
- ISO 24089
- ISO 20078-1
- ISO/IEC 27001
- Reglamento (UE) 2016/679
- OASIS MQTT 5.0
8 modules · 800 h
1.1On-board telematics units1.2LTE-M and NB-IoT cellular connectivity1.3GNSS and positioning1.4Data available in the vehicle1.5Use cases in delivery and rental1.6End-to-end architectures1.7Power consumption at rest1.8Connectivity cost1.9Supplier ecosystem1.10Workshop: specification of a telematics unit
2.1MQTT and HTTP protocols2.2Cloud data ingestion2.3Time-series databases2.4Stream processing2.5Dashboards2.6Real-time alerts2.7Platform scalability2.8Data quality2.9Retention and costs2.10Practical: telemetry channel with MQTT and Grafana
3.1Remote update architecture3.2Single and dual partition updates3.3Compression and differential updates3.4Signing and verification3.5Campaign management3.6Rollback on failure3.7Software and update requirements3.8Version inventory3.9User experience3.10Laboratory: signed update workflow
4.1Data for maintenance4.2Brake and tyre wear4.3Battery state4.4Anomaly detection4.5Machine learning models4.6Remaining useful life prediction4.7Intervention scheduling4.8Maintenance indicators4.9Return on investment4.10Case study: anomaly model on fleet data
5.1Vehicle allocation5.2Routes and utilisation5.3Charging and battery management5.4Driving control5.5Security and theft5.6Geofences and operating zones5.7Fleet indicators5.8Integration with enterprise systems5.9Client reporting5.10Practical: dashboard for a delivery fleet
6.1Attack surface of the connected vehicle6.2Telematics unit security6.3Key management6.4Cloud security6.5Personal data protection6.6Trajectory anonymisation6.7Data regulation6.8Incident response6.9Periodic security audits6.10Case study: privacy risk assessment
7.1Driving behaviour analysis7.2Usage-based insurance7.3Digital twins of vehicles7.4Energy optimisation of the fleet7.5Data business models7.6Third-party interfaces7.7Data marketplaces7.8Sustainability indicators7.9Trends in connected services7.10Workshop: designing a data-driven service
8.1Fleet definition and use cases8.2System telematics architecture8.3Data platform8.4Remote update strategy8.5Predictive maintenance model8.6Cybersecurity analysis8.7Business indicators8.8Deployment plan8.9Report and presentation8.10Final review with the tutor
How you'll learn
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 AWS IoT Core, Eclipse Mosquitto, InfluxDB, Grafana, Python (scikit-learn), in free, academic or evaluation versions. Tests are studied using real telemetry deployment procedures on a pilot fleet, a remote update campaign with rollback, and anomaly detection on maintenance data. Assessment is continuous per 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.
Design telematics architectures for two-wheeler fleets.
Build telemetry channels and data storage.
Implement secure remote software updates.
Develop predictive maintenance models.
Manage a fleet operationally using indicators.
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 English 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 consists of 800 total hours spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.
You work with AWS IoT Core, Eclipse Mosquitto, InfluxDB, Grafana, Python (scikit-learn). Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
A SEIUM own-brand diploma upon passing the continuous assessment and the integrating project. It is in-house training, not an official Ministry qualification.
Yes. Modules passed in a course or diploma in the same area are recognised towards the advanced programme. Check the recognition policy when you enrol.
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