Postgraduate DiplomaMotorcycles & 2-Wheelers Applications open

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.

Duration800 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

Postgraduate Diploma in OTA, Telemetry and Digital Fleet Maintenance 2R — studying from Malta

Malta has a strong culture of two-wheeled transport, with scooters and motorcycles widely used given the island's dense traffic and limited parking. This has created a steady market for dealerships, workshops and parts suppliers serving riders. Engineers interested in 2-wheelers can find roles in servicing, technical support and the importation of vehicles and components. Opportunities also arise in electric scooter and light mobility, which are gaining attention in urban policy discussions.

Fees for Malta: €1,090 (Euro), with instalments and employer sponsorship available.

Relevant bodies in Malta

  • Transport Malta
  • Malta Motor Trade Association
  • Malta Chamber of Commerce, Enterprise and Industry

Typical roles

  • Motorcycle Service Technician
  • 2-Wheeler Technical Specialist
  • Dealership Technical Manager
  • Light Electric Vehicle Engineer

Questions from Malta

Does a SEIUM qualification count for regulated vehicle engineering in Malta?

Vehicle type approval and homologation in Malta follow EU frameworks administered through the Transport Malta authority. SEIUM Institute's qualifications are private and not official state degrees or accredited by any national body. Whether they are recognised for particular roles is decided by employers or the relevant body, so it is worth confirming before enrolling.

What career opportunities for 2-wheeler engineers exist in Malta?

Malta has a small market for motorcycles and two-wheelers, mainly through dealerships, importers, servicing and parts supply. Opportunities are limited compared with larger countries, so many professionals work in adjacent areas such as electronics or design. Employers decide how much value they place on a private online qualification, so direct conversations with them are advisable.

Is the programme workload manageable alongside work, and is employer funding possible?

The programmes are fully online and taught in English. Hours range from 300 for specialist courses to 1,900 for master's programmes, so choose according to the time you can commit. Fees are payable in instalments, employer sponsorship is possible, and each student has an assigned technical tutor for guidance.

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Learning outcomes

What you will be able to do

01

Design telematics architectures for two-wheeler fleets.

02

Build telemetry channels and data storage.

03

Implement secure remote software updates.

04

Develop predictive maintenance models.

05

Manage a fleet operationally using indicators.

06

Apply cybersecurity and privacy requirements.

07

Propose digital services based on fleet data.

Profile

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.
Standards & tools

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
Syllabus

8 modules · 800 h

  1. 1.1On-board telematics units
  2. 1.2LTE-M and NB-IoT cellular connectivity
  3. 1.3GNSS and positioning
  4. 1.4Data available in the vehicle
  5. 1.5Use cases in delivery and rental
  6. 1.6End-to-end architectures
  7. 1.7Power consumption at rest
  8. 1.8Connectivity cost
  9. 1.9Supplier ecosystem
  10. 1.10Workshop: specification of a telematics unit
  1. 2.1MQTT and HTTP protocols
  2. 2.2Cloud data ingestion
  3. 2.3Time-series databases
  4. 2.4Stream processing
  5. 2.5Dashboards
  6. 2.6Real-time alerts
  7. 2.7Platform scalability
  8. 2.8Data quality
  9. 2.9Retention and costs
  10. 2.10Practical: telemetry channel with MQTT and Grafana
  1. 3.1Remote update architecture
  2. 3.2Single and dual partition updates
  3. 3.3Compression and differential updates
  4. 3.4Signing and verification
  5. 3.5Campaign management
  6. 3.6Rollback on failure
  7. 3.7Software and update requirements
  8. 3.8Version inventory
  9. 3.9User experience
  10. 3.10Laboratory: signed update workflow
  1. 4.1Data for maintenance
  2. 4.2Brake and tyre wear
  3. 4.3Battery state
  4. 4.4Anomaly detection
  5. 4.5Machine learning models
  6. 4.6Remaining useful life prediction
  7. 4.7Intervention scheduling
  8. 4.8Maintenance indicators
  9. 4.9Return on investment
  10. 4.10Case study: anomaly model on fleet data
  1. 5.1Vehicle allocation
  2. 5.2Routes and utilisation
  3. 5.3Charging and battery management
  4. 5.4Driving control
  5. 5.5Security and theft
  6. 5.6Geofences and operating zones
  7. 5.7Fleet indicators
  8. 5.8Integration with enterprise systems
  9. 5.9Client reporting
  10. 5.10Practical: dashboard for a delivery fleet
  1. 6.1Attack surface of the connected vehicle
  2. 6.2Telematics unit security
  3. 6.3Key management
  4. 6.4Cloud security
  5. 6.5Personal data protection
  6. 6.6Trajectory anonymisation
  7. 6.7Data regulation
  8. 6.8Incident response
  9. 6.9Periodic security audits
  10. 6.10Case study: privacy risk assessment
  1. 7.1Driving behaviour analysis
  2. 7.2Usage-based insurance
  3. 7.3Digital twins of vehicles
  4. 7.4Energy optimisation of the fleet
  5. 7.5Data business models
  6. 7.6Third-party interfaces
  7. 7.7Data marketplaces
  8. 7.8Sustainability indicators
  9. 7.9Trends in connected services
  10. 7.10Workshop: designing a data-driven service
  1. 8.1Fleet definition and use cases
  2. 8.2System telematics architecture
  3. 8.3Data platform
  4. 8.4Remote update strategy
  5. 8.5Predictive maintenance model
  6. 8.6Cybersecurity analysis
  7. 8.7Business indicators
  8. 8.8Deployment plan
  9. 8.9Report and presentation
  10. 8.10Final 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. 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.

Accredited laboratories(EN ISO/IEC 17025) with rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented final project:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, ciber-OT, DIH and compliance as core pillars.
Capstone project

Build it end to end

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

Fleet definition and use cases

Design telematics architectures for two-wheeler fleets.

System telematics architecture

Build telemetry channels and data storage.

Data platform

Implement secure remote software updates.

Remote update strategy

Develop predictive maintenance models.

Predictive maintenance model

Manage a fleet operationally using indicators.

Career opportunities

Where this takes you

Telematics engineerData engineerFleet managerOTA software engineerPredictive maintenance analystCybersecurity engineer
Admissions & scholarships

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 level of 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.

FAQ

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.

Postgraduate Diploma in OTA, Telemetry and Digital Fleet Maintenance 2REnrol
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