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Postgraduate DiplomaCivil, Rail & Smart Cities Applications open

Diploma in EAM and Data Systems for Asset Management

Online postgraduate diploma of 800 hours in EAM systems and data for asset management. 8 modules covering asset management and information, EAM and CMMS systems, data quality and governance, data and system integration, asset management analytics, EAM implementation and the digital transformation of maintenance, with an assigned technical tutor.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Understand the information requirements of an asset management system.

02

Configure the main functions of an EAM system.

03

Ensure the quality and governance of asset data.

04

Integrate the EAM with other corporate systems.

05

Apply data analytics to maintenance decision-making.

06

Plan the implementation of an EAM system.

07

Design a digital transformation roadmap for maintenance.

Profile

Who it's for

  • Asset managers.
  • EAM system managers.
  • Maintenance data managers.
  • Asset data analysts.
  • Maintenance planning engineers.
  • Digital transformation consultants.
  • Engineering or science graduates looking to enter transport infrastructure.
Standards & tools

What you'll work with

  • ISO 55001:2014 (asset management systems: requirements)
  • ISO 55002:2018 (guidelines for the application of ISO 55001)
  • ISO 14224:2016 (collection and exchange of reliability and maintenance data)
  • ISO 8000-8 (data quality)
  • UNE-EN 13306:2018 (maintenance terminology)
  • UNE-EN 15341:2019 (maintenance key performance indicators)
  • UNE-EN ISO 19650-3 (information management in the operational phase of assets)
  • UNE-EN ISO/IEC 27001 (information security management)
  • IBM Maximo
  • SAP Plant Maintenance
  • Infor EAM
  • Esri ArcGIS
  • Power BI
Syllabus

8 modules

  1. 1.1ISO 55001 asset management system
  2. 1.2Strategic asset management plan
  3. 1.3Asset information requirements
  4. 1.4Asset register
  5. 1.5Asset hierarchy and taxonomy
  6. 1.6Attributes and condition data
  7. 1.7Information life cycle
  8. 1.8Data roles and responsibilities
  9. 1.9Information maturity
  10. 1.10Case study: asset hierarchy for a water network
  1. 2.1Functions of an EAM system
  2. 2.2Differences between EAM and CMMS
  3. 2.3Work orders
  4. 2.4Maintenance planning and scheduling
  5. 2.5Inventory and spare parts management
  6. 2.6Purchasing and contracts
  7. 2.7Labour management
  8. 2.8Mobility and field apps
  9. 2.9Main platforms on the market
  10. 2.10Workshop: configuring work orders in an EAM
  1. 3.1Dimensions of data quality
  2. 3.2ISO 8000 quality standards
  3. 3.3Data cleansing
  4. 3.4Asset master data
  5. 3.5Coding and naming conventions
  6. 3.6Data owners
  7. 3.7Data audits
  8. 3.8Data migration
  9. 3.9Quality indicators
  10. 3.10Practical exercise: quality audit of an asset register
  1. 4.1Integrating EAM with ERP and GIS
  2. 4.2Integration with BIM and digital twins
  3. 4.3SCADA and IoT data
  4. 4.4Interfaces and APIs
  5. 4.5Standard data models
  6. 4.6Enterprise data architecture
  7. 4.7Data lakes and data warehouses
  8. 4.8Information security
  9. 4.9Integration governance
  10. 4.10Workshop: integration architecture for a railway operator
  1. 5.1Maintenance indicators
  2. 5.2Reliability analysis with EAM data
  3. 5.3Criticality analysis
  4. 5.4Asset risk models
  5. 5.5Predictive maintenance with machine learning
  6. 5.6Investment optimisation
  7. 5.7Visualisation and dashboards
  8. 5.8Geospatial asset analytics
  9. 5.9Quality of analysis
  10. 5.10Practical exercise: maintenance KPI dashboard
  1. 6.1Defining requirements
  2. 6.2Vendor selection
  3. 6.3Process design
  4. 6.4Configuration and parameterisation
  5. 6.5Data migration and loading
  6. 6.6Testing and validation
  7. 6.7User training
  8. 6.8Go-live
  9. 6.9Continual improvement after go-live
  10. 6.10Case study: implementing Maximo on a motorway
  1. 7.1Maintenance 4.0 and connectivity
  2. 7.2Inspection with drones and computer vision
  3. 7.3Augmented reality for technicians
  4. 7.4Artificial intelligence in work orders
  5. 7.5Asset digital twins
  6. 7.6Cloud platforms
  7. 7.7Change management
  8. 7.8Return on investment
  9. 7.9Digital roadmap
  10. 7.10Workshop: maintenance digitalisation roadmap
  1. 8.1Organisational context
  2. 8.2Information requirements
  3. 8.3Asset register and hierarchy
  4. 8.4EAM system design
  5. 8.5Data quality plan
  6. 8.6Integration architecture
  7. 8.7Dashboard
  8. 8.8Implementation plan
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable materials, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so the programme can be combined with work.

Each module combines theory, guided reading of the original standards and applied exercises. The working software is IBM Maximo, SAP Plant Maintenance, Infor EAM, Esri ArcGIS and Power BI, in free, academic or evaluation versions. Exercises are based on real procedures such as designing the asset hierarchy of a water supply network, a data quality audit of an asset register and the implementation of an EAM system on a motorway. Assessment is continuous by module, plus the final integrative project.

Standards covered: ISO 55001:2014; ISO 55002:2018; ISO 14224:2016; ISO 8000-8; UNE-EN 13306:2018; UNE-EN 15341:2019; UNE-EN ISO 19650-3; UNE-EN ISO/IEC 27001.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 55001:2014, ISO 55002:2018 and ISO 14224:2016 applied to real cases, not as a theoretical annex.
Industry software:IBM Maximo, SAP Plant Maintenance, Infor EAM, Esri ArcGIS and Power BI, in free, academic or evaluation versions.
Final project:a complete EAM and asset data solution for an organisation, from the information requirements and asset hierarchy to the system design, data quality plan, integration architecture and implementation plan, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

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

Define information requirements
Analyse the organisation and set out its asset information requirements.
Build the asset register
Design the asset register and hierarchy.
Design the EAM and data plan
Design the EAM system and the data quality plan.
Integrate and visualise
Define the integration architecture and build the dashboard.
Final project
Present the implementation plan and full solution, reviewed by your tutor.
Career opportunities

Where this takes you

Asset managerEAM system managerMaintenance data managerAsset data analystMaintenance planning engineerDigital transformation consultant
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • An internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

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 over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with IBM Maximo, SAP Plant Maintenance, Infor EAM, Esri ArcGIS and Power BI, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

Prior technical training or professional experience in the sector (no university degree required), a computer able to run the programme software and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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