Apply now
Postgraduate DiplomaMotorcycles & 2-Wheelers Applications open

Postgraduate Diploma in Connected Services and 2W Fleet Analytics

Online 800 h Postgraduate Diploma in Connected Services and 2W Fleet Analytics. 8 modules covering Regulation (EU) 2016/679 (GDPR), Regulation (EU) 2023/2854 (Data Act) and AWS IoT FleetWise. Dedicated tutor and open enrolment.

Duration800 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
Enrol now View syllabus Ask an advisor
Virtual lab · try it before you enrol

Take the controls.

Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Design data capture and transmission architectures for connected motorcycles.

02

Build scalable cloud ingestion and storage pipelines.

03

Define availability, usage and consumption KPIs for two-wheeler fleets.

04

Develop predictive maintenance and battery health models.

05

Specify value-added services such as fall detection or usage-based insurance.

06

Apply the requirements of the GDPR, the Data Act and UNECE R155/R156 to connected services.

07

Present analytical results in an actionable way to operations teams.

Profile

Who it's for

  • Fleet data analyst wishing to specialise in Connected Services and 2W Fleet Analytics.
  • Connected services engineer wishing to specialise in Connected Services and 2W Fleet Analytics.
  • Motosharing operations manager wishing to specialise in Connected Services and 2W Fleet Analytics.
  • Predictive maintenance engineer wishing to specialise in Connected Services and 2W Fleet Analytics.
  • Connected mobility product manager wishing to specialise in Connected Services and 2W Fleet Analytics.
  • Telematics consultant wishing to specialise in Connected Services and 2W Fleet Analytics.
  • Graduates in engineering or sciences seeking to enter motorcycle manufacturing.
Standards & tools

What you'll work with

  • Reglamento (UE) 2016/679 (RGPD)
  • Reglamento (UE) 2023/2854 (Data Act)
  • Reglamento UNECE n.º 155
  • Reglamento UNECE n.º 156
  • ISO/SAE 21434:2021
  • ISO/IEC 27001:2022
  • ISO 20078 (Extended Vehicle)
  • Reglamento (UE) n.º 168/2013
Syllabus

8 modules · 800 h

  1. 1.1TCU, gateway and ECU architecture in 2W
  2. 1.2Cellular connectivity: LTE-M, NB-IoT and 5G
  3. 1.3Smartphone pairing via Bluetooth Low Energy
  4. 1.4Business models for OEMs, fleets and insurers
  5. 1.5Use cases in delivery, sharing and rental
  6. 1.6Data generated: GNSS, CAN, IMU and battery
  7. 1.7Data ownership and third-party access
  8. 1.8Lifecycle of a connected service
  9. 1.9Actors: OEMs, telematics providers, platforms and workshops
  10. 1.10Practical case: service map of a motosharing operator
  1. 2.1CAN bus reading and motorcycle diagnostics
  2. 2.2MQTT, CoAP and HTTPS protocols for telemetry
  3. 2.3Edge computing and pre-filtering in the TCU
  4. 2.4Sampling, compression and data budget
  5. 2.5Coverage management and deferred storage
  6. 2.6Remote reconfiguration of capture campaigns
  7. 2.7Time synchronisation with GNSS timestamps
  8. 2.8Energy consumption of the telematics device
  9. 2.9Secure channel with TLS and mutual authentication
  10. 2.10Laboratory: sending CAN frames to an MQTT broker
  1. 3.1Reference architectures for IoT in the cloud
  2. 3.2Streaming ingestion with Kafka and Kinesis
  3. 3.3Data lake, data warehouse and lakehouse
  4. 3.4Modelling and partitioning of time series
  5. 3.5Mass provisioning of devices
  6. 3.6Data quality: duplicates, gaps and outliers
  7. 3.7Data governance and metadata catalogues
  8. 3.8Platform costs and scaling strategies
  9. 3.9Pseudonymisation and minimisation of personal data
  10. 3.10Practice: ingestion pipeline with AWS IoT FleetWise
  1. 4.1Availability, utilisation and mileage per unit
  2. 4.2Energy consumption and real range in electric vehicles
  3. 4.3Detection of aggressive driving using IMU data
  4. 4.4Geofences, service zones and heat maps
  5. 4.5Analysis of incidents, faults and stoppages
  6. 4.6Benchmarking across models, batches and cities
  7. 4.7Operational and executive dashboards
  8. 4.8Alerts with dynamic thresholds
  9. 4.9Communicating results to operations
  10. 4.10Workshop: fleet dashboard for delivery in Grafana
  1. 5.1State of charge and state of health of batteries
  2. 5.2Degradation models by cycles and temperature
  3. 5.3Wear of brakes, tyres and transmission
  4. 5.4Unsupervised anomaly detection
  5. 5.5Estimation of remaining useful life
  6. 5.6Condition-based maintenance
  7. 5.7Integration with workshops and spare parts management
  8. 5.8Model validation against historical data
  9. 5.9Economic return of predictive maintenance
  10. 5.10Practical case: battery failure prediction in scooters
  1. 6.1Fall detection and emergency call
  2. 6.2Anti-theft, remote immobiliser and location
  3. 6.3Driving scoring for usage-based insurance
  4. 6.4Safety coaching and gamification
  5. 6.5Integration with rider apps and wearables
  6. 6.6Contextual notifications without distraction
  7. 6.7User experience in the connected app
  8. 6.8Consent and transparency of processing
  9. 6.9Adoption, usage and retention metrics
  10. 6.10Practice: specification of a fall detection service
  1. 7.1UNECE R155 requirements for remote services
  2. 7.2OTA update management under R156
  3. 7.3Data protection impact assessment
  4. 7.4Identity management and access control
  5. 7.5Logging and auditing of data access
  6. 7.6Contracts with data processors
  7. 7.7International data transfers
  8. 7.8Incident response in connected fleets
  9. 7.9Data access obligations under the Data Act
  10. 7.10Practical case: DPIA for a motosharing fleet
  1. 8.1Definition of business case and scope
  2. 8.2Selection of data sources and variables
  3. 8.3Design of the data architecture
  4. 8.4Development of analytical models
  5. 8.5Construction of the final dashboard
  6. 8.6Validation with operations users
  7. 8.7Deployment and scaling plan
  8. 8.8Cost-benefit assessment
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

Fully 100 % online study on the SEIUM Institute 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 FleetWise, Apache Kafka, Grafana, Python (pandas, scikit-learn), Power BI, in free, academic or evaluation versions. Practical work is based on real data analysis procedures from delivery fleets, prototyping of motosharing dashboards and predictive modelling of electric scooter batteries. 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 operating 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 pillars.
Capstone project

Build it end to end

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

Definition of business case and scope

Design data capture and transmission architectures for connected motorcycles.

Selection of data sources and variables

Build scalable cloud ingestion and storage pipelines.

Design of the data architecture

Define availability, usage and consumption KPIs for two-wheeler fleets.

Development of analytical models

Develop predictive maintenance and battery health models.

Construction of the final dashboard

Specify value-added services such as fall detection or usage-based insurance.

Career opportunities

Where this takes you

Fleet data analystConnected services engineerMotosharing operations managerPredictive maintenance engineerConnected mobility product managerTelematics consultant
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 regulatory texts.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

Apply now Scholarships
FAQ

Frequently asked questions

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

You will work with AWS IoT FleetWise, Apache Kafka, Grafana, Python (pandas, scikit-learn), Power BI. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM Institute diploma upon passing the continuous assessment and the integrating project. This 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 advanced programme. Check the recognition policy when you enrol.

Keep exploring

Related programmes

See all in Motorcycles & 2-Wheelers
Postgraduate Diploma1,440 $

Postgraduate Diploma in Two-Wheeler Driving Psychology and Decision-Making under Stress

Online 800-hour Postgraduate Diploma in Two-Wheeler Driving Psychology and Decision-Making under Stress. 8 modules covering Real Decreto 818/2009 (Reglamento General de Conductores), Real Decreto 170/2010 (centros…

800 hOnlineMotorcycles & 2-Wheelers
Postgraduate Diploma1,440 $

Postgraduate Diploma in 2R Hardening and UNECE R155/R156

Online 800-hour Postgraduate Diploma in 2R hardening and UNECE R155/R156. 8 modules covering UNECE Regulation No. 155, UNECE Regulation No. 156 and Vector CANoe. Personal tutor…

800 hOnlineMotorcycles & 2-Wheelers
Postgraduate Diploma1,670 $

Postgraduate Diploma in Wind Tunnel and Track Correlation Testing

Online 800-hour Postgraduate Diploma in Wind Tunnel and Track Correlation Testing. 8 modules covering SAE J2084, SAE J2071 and MATLAB. Dedicated tutor and open enrolment.

800 hOnlineMotorcycles & 2-Wheelers
Postgraduate Diploma in Connected Services and 2W Fleet AnalyticsEnrol
Related programmes

More in Motorcycles & 2-Wheelers

Postgraduate Diploma in Dealer 2.0 and Omnichannel ExperienceView programme →Postgraduate Diploma in PTW Architecture and Dynamic PackagingView programme →Postgraduate Diploma in APQP/PPAP and 2R Supplier AuditView programme →Postgraduate Diploma in 2R Accessory Design and Type ApprovalView programme →Postgraduate Diploma in Euro 5/5+ Conformity and WMTC CyclesView programme →Postgraduate Diploma in Guarantee and Network SLA ManagementView programme →

All Motorcycles & 2-Wheelers programmes → · How to apply · Fees & financing · Scholarships

Scroll to Top
SEIUM – Institute of Advanced Engineering
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.