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Postgraduate DiplomaCivil, Rail & Smart Cities Applications open

Postgraduate Diploma in Condition-Based Maintenance and Telematics

Online 800-hour Postgraduate Diploma in Condition-Based Maintenance and Telematics. 8 modules covering EN 13306 (maintenance terminology), EN 17023 (creating and modifying the maintenance plan for rail vehicles) and Python (scikit-learn). Assigned tutor and open enrolment.

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

What you will be able to do

01

Compare corrective, preventive and condition-based maintenance strategies.

02

Select sensors and monitoring techniques for railway components.

03

Design onboard telematics architectures.

04

Manage and process large volumes of fleet data.

05

Apply diagnostic and remaining useful life prognostic models.

06

Use in-service trains for infrastructure monitoring.

07

Develop a condition-based maintenance implementation project.

Profile

Who it's for

  • Railway predictive maintenance engineer wishing to specialise in Condition-Based Maintenance and Telematics.
  • Maintenance data scientist wishing to specialise in Condition-Based Maintenance and Telematics.
  • Onboard telematics engineer wishing to specialise in Condition-Based Maintenance and Telematics.
  • Maintenance engineering manager wishing to specialise in Condition-Based Maintenance and Telematics.
  • Condition monitoring specialist wishing to specialise in Condition-Based Maintenance and Telematics.
  • ECM manager wishing to specialise in Condition-Based Maintenance and Telematics.
  • Graduates in engineering or science seeking to join railway operators.
Standards & tools

What you'll work with

  • EN 13306 (maintenance terminology)
  • EN 17023 (creating and modifying the maintenance plan for rail vehicles)
  • ISO 13374 (condition monitoring data processing)
  • Implementing Regulation (EU) 2019/779 (entities in charge of maintenance)
  • ISO 17359 (condition monitoring: general guidelines)
  • EN 50155 (electronic equipment on rolling stock)
  • IEC 61375 (train communication network)
Syllabus

8 modules · 800 h

  1. 1.1Corrective, preventive and condition-based maintenance
  2. 1.2Predictive and prescriptive maintenance
  3. 1.3Manufacturer's maintenance plan
  4. 1.4Maintenance levels
  5. 1.5Entity in charge of maintenance
  6. 1.6Implementing Regulation (EU) 2019/779
  7. 1.7Reliability-centred maintenance
  8. 1.8Fleet maintenance costs
  9. 1.9Availability indicators
  10. 1.10Case study: maintenance plan for a regional train
  1. 2.1Accelerometers and vibration analysis
  2. 2.2Axle bearing monitoring
  3. 2.3Axle box grease temperature
  4. 2.4Trackside hot box detectors
  5. 2.5Wheel and flat monitoring
  6. 2.6Pantograph sensors
  7. 2.7Battery status
  8. 2.8Door and HVAC monitoring
  9. 2.9Bogie instrumentation
  10. 2.10Laboratory: spectral analysis of bearing vibrations
  1. 3.1Train telematics architecture
  2. 3.2Gateways and data concentrators
  3. 3.34G, 5G and satellite communications
  4. 3.4Data protocols and formats
  5. 3.5Event and alarm logging
  6. 3.6Juridical recorder
  7. 3.7Ground platforms
  8. 3.8Cybersecurity in telematics
  9. 3.9Fleet connectivity management
  10. 3.10Workshop: fleet telematics architecture
  1. 4.1Fleet data ingestion and storage
  2. 4.2Signal cleansing and synchronisation
  3. 4.3Feature engineering
  4. 4.4Time series and events
  5. 4.5Failure databases
  6. 4.6Integration with CMMS
  7. 4.7Fleet data governance
  8. 4.8Fleet condition visualisation
  9. 4.9Platform scalability
  10. 4.10Practical: data pipeline for a train fleet
  1. 5.1Anomaly detection
  2. 5.2Rule-based and model-based diagnostics
  3. 5.3Supervised machine learning
  4. 5.4Remaining useful life
  5. 5.5Degradation models
  6. 5.6Survival analysis
  7. 5.7Validation of predictive models
  8. 5.8False positives and alarm cost
  9. 5.9ISO 13374 data processing standard
  10. 5.10Practical: remaining useful life model
  1. 6.1Onboard track geometry measurement
  2. 6.2Overhead line monitoring from the train
  3. 6.3Automated visual inspection
  4. 6.4Instrumented commercial trains
  5. 6.5Ride quality and accelerations
  6. 6.6Train-track correlation
  7. 6.7Rail defect detection
  8. 6.8Integration with the infrastructure manager
  9. 6.9Return on investment
  10. 6.10Case study: track defect detection using accelerations
  1. 7.1Roadmap towards condition-based maintenance
  2. 7.2Organisational change in workshops
  3. 7.3Data-driven decision processes
  4. 7.4Maintenance contract models
  5. 7.5Cost-benefit analysis
  6. 7.6Management of technology suppliers
  7. 7.7Staff training
  8. 7.8Maturity indicators
  9. 7.9European operator cases
  10. 7.10Workshop: business case for predictive maintenance
  1. 8.1Fleet and subsystem selection
  2. 8.2Criticality and failure mode analysis
  3. 8.3Monitoring design
  4. 8.4Telematics and data architecture
  5. 8.5Diagnostic and prognostic model
  6. 8.6Integration with the maintenance plan
  7. 8.7Economic evaluation
  8. 8.8Implementation plan
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

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 Python (scikit-learn), MATLAB, Azure IoT / AWS IoT, Grafana, SAP PM, in free, academic or evaluation versions. Tests are studied using real vibration-analysis procedures on train components, onboard telematics pilots, and validation of failure prognostic models. Assessment is continuous per module plus the final integrative project.

Accredited laboratories(EN ISO/IEC 17025) with a 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:teaching staff 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, cyber-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.

Fleet and subsystem selection

Compare corrective, preventive and condition-based maintenance strategies.

Criticality and failure mode analysis

Select sensors and monitoring techniques for railway components.

Monitoring design

Design onboard telematics architectures.

Telematics and data architecture

Manage and process large volumes of fleet data.

Diagnostic and prognostic model

Apply diagnostic and remaining useful life prognostic models.

Career opportunities

Where this takes you

Railway predictive maintenance engineerMaintenance data scientistOnboard telematics engineerMaintenance engineering managerCondition monitoring specialistECM manager
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.
  • A level of Spanish sufficient to follow technical regulatory reading.

Ready to start?

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

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FAQ

Frequently asked questions

The programme totals 800 hours spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.

The programme uses Python (scikit-learn), MATLAB, Azure IoT / AWS IoT, Grafana, SAP PM. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM Institute own diploma upon passing the continuous assessment and the integrative 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 credited towards the higher programme. Please check the credit transfer policy when enrolling.

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