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Master'sDefense, Military Engineering & Land Systems Applications open

Master’s in Energy, Sustainment & MRO Engineering

Online master's programme of 1,900 hours in energy, sustainment and MRO engineering: 12 modules covering sustainment of complex systems, operational energy, field microgrids, reliability engineering, maintenance strategies, predictive maintenance and PHM, supply chain management, ASD S-Series logistics support standards, digital MRO, quality and airworthiness, and sustainability, with an assigned technical tutor.

Duration1900 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

Analyse the life-cycle cost and availability of systems.

02

Design operational energy and microgrid solutions.

03

Apply reliability and failure analysis techniques.

04

Define reliability-centred maintenance strategies.

05

Implement predictive maintenance and remaining useful life prognosis.

06

Manage the spare parts supply chain.

07

Apply the ASD S-Series standards to logistics support.

Profile

Who it's for

  • Sustainment engineers.
  • Reliability engineers.
  • Predictive maintenance engineers.
  • Supply chain managers.
  • Energy engineers.
  • MRO quality managers.
  • Engineering or science graduates aiming to work in defence.
Standards & tools

What you'll work with

  • SAE JA1011 (evaluation criteria for reliability-centred maintenance processes)
  • ASD S3000L (logistics support analysis)
  • ASD S1000D (technical publications)
  • AQAP-2110 (NATO quality assurance requirements)
  • EMAR 145 (European military maintenance organisation requirements)
  • ISO 55001 (asset management systems)
  • IEC 60812 (failure modes and effects analysis, FMEA)
  • ISO 13374 (condition monitoring and diagnostics of machines)
  • ReliaSoft Weibull++
  • HOMER Pro
  • MATLAB/Simulink
  • SAP PM
  • Python
Syllabus

12 modules · 1900 h

  1. 1.1The concept of sustainment and logistics support
  2. 1.2Life-cycle cost and its distribution
  3. 1.3Operational and inherent availability
  4. 1.4The sustainment chain
  5. 1.5MRO: maintenance, repair and overhaul
  6. 1.6Performance-based logistics
  7. 1.7The aeronautical and land MRO industry
  8. 1.8Sustainability and the energy transition
  9. 1.9Sustainment indicators
  10. 1.10Case study: life-cycle cost analysis of a fleet
  1. 2.1Energy demand of platforms and installations
  2. 2.2Fuels and fuel logistics
  3. 2.3EU defence energy strategies
  4. 2.4Vehicle energy efficiency
  5. 2.5Electrification and hybrid propulsion
  6. 2.6Synthetic fuels and biofuels
  7. 2.7Hydrogen and fuel cells
  8. 2.8Energy storage
  9. 2.9Energy management in the field
  10. 2.10Workshop: energy balance of a deployed unit
  1. 3.1Microgrid architecture
  2. 3.2Generators and their optimisation
  3. 3.3Photovoltaic and wind integration
  4. 3.4Batteries and management systems
  5. 3.5Hierarchical microgrid control
  6. 3.6Power quality
  7. 3.7Electrical protection
  8. 3.8Modelling with HOMER and Simulink
  9. 3.9Monitoring and management
  10. 3.10Lab: microgrid simulation in Simulink
  1. 4.1Failure distributions: exponential and Weibull
  2. 4.2Life data analysis
  3. 4.3Reliability block diagrams
  4. 4.4FMECA and criticality analysis
  5. 4.5Fault trees
  6. 4.6Reliability growth
  7. 4.7Accelerated testing
  8. 4.8Software reliability
  9. 4.9Analysis tools
  10. 4.10Practical: Weibull analysis with ReliaSoft
  1. 5.1Corrective, preventive and predictive maintenance
  2. 5.2Reliability-centred maintenance (RCM)
  3. 5.3SAE JA1011 standard
  4. 5.4Interval optimisation
  5. 5.5Condition-based maintenance
  6. 5.6Maintenance echelons
  7. 5.7Field maintenance
  8. 5.8Spare parts management
  9. 5.9Maintenance indicators
  10. 5.10Case study: RCM analysis of a generator set
  1. 6.1Condition monitoring
  2. 6.2Vibration analysis
  3. 6.3Thermography and oil analysis
  4. 6.4Remaining useful life prognosis
  5. 6.5Machine learning in PHM
  6. 6.6HUMS data architectures
  7. 6.7Maintenance digital twins
  8. 6.8Integration with management systems
  9. 6.9Return on investment
  10. 6.10Lab: remaining useful life estimation with NASA C-MAPSS data
  1. 7.1Spare parts demand planning
  2. 7.2Multi-echelon inventory models
  3. 7.3NATO codification of items
  4. 7.4Obsolescence and DMSMS
  5. 7.5Additive manufacturing for spare parts
  6. 7.6Suppliers and contracts
  7. 7.7Supply chain resilience
  8. 7.8Traceability and digitalisation
  9. 7.9Logistics indicators
  10. 7.10Practical: inventory model with Python
  1. 8.1ASD S-Series specifications
  2. 8.2S3000L: logistics support analysis
  3. 8.3S1000D: technical publications
  4. 8.4S2000M: materiel management
  5. 8.5S4000P: preventive maintenance
  6. 8.6S5000F: in-service feedback
  7. 8.7Integration of logistics data
  8. 8.8Software tools
  9. 8.9Implementation in programmes
  10. 8.10Workshop: S1000D structure of a maintenance procedure
  1. 9.1Maintenance management systems
  2. 9.2Electronic task cards
  3. 9.3Augmented reality in maintenance
  4. 9.4Drones for inspection
  5. 9.5Robotics in workshops
  6. 9.6Blockchain for parts traceability
  7. 9.7Maintenance data analytics
  8. 9.8Cybersecurity in MRO
  9. 9.9Industry 4.0 in workshops
  10. 9.10Case study: digitalisation of a vehicle workshop
  1. 10.1AQAP-2110 quality systems
  2. 10.2Approved maintenance organisations
  3. 10.3EMAR 145 and Part-145
  4. 10.4Configuration management
  5. 10.5Maintenance records
  6. 10.6Human factors in maintenance
  7. 10.7Quality audits
  8. 10.8Safety management systems (SMS)
  9. 10.9Continuous improvement
  10. 10.10Practical: audit of a maintenance process
  1. 11.1Carbon footprint of sustainment
  2. 11.2EU climate change and defence strategy
  3. 11.3Circular economy in MRO
  4. 11.4Hazardous waste management
  5. 11.5Platform life extension
  6. 11.6Fleet electrification
  7. 11.7Environmental indicators
  8. 11.8Green finance
  9. 11.9Sector trends
  10. 11.10Workshop: decarbonisation plan for a fleet
  1. 12.1Definition of the system and its context
  2. 12.2Energy analysis
  3. 12.3Reliability analysis
  4. 12.4Maintenance strategy
  5. 12.5Supply chain model
  6. 12.6Digitalisation proposal
  7. 12.7Economic and environmental assessment
  8. 12.8Conclusions and recommendations
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
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: you progress at your own pace within the intake, so you can combine it with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is ReliaSoft Weibull++, HOMER Pro, MATLAB/Simulink, SAP PM and Python, in free, academic or evaluation versions. Testing is studied through real procedures for reliability analysis with life data, simulation of field microgrids and remaining useful life estimation from sensor data. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: SAE JA1011, ASD S3000L, ASD S1000D, AQAP-2110, EMAR 145, ISO 55001, IEC 60812, ISO 13374.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of SAE JA1011, ASD S3000L and ASD S1000D applied to real cases, not as a theoretical annex.
Industry software:ReliaSoft Weibull++, HOMER Pro, MATLAB/Simulink, SAP PM and Python, in free, academic or evaluation versions.
Master's Thesis with defence:A complete sustainment study for a real system, covering energy, reliability, maintenance strategy, supply chain, digitalisation and economic and environmental assessment, defended before a panel.
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.

System and energy analysis
Define the system and its context and analyse its energy demand and supply.
Reliability analysis
Analyse life data with Weibull methods and FMECA.
Maintenance strategy
Define an RCM-based maintenance strategy compliant with SAE JA1011.
Supply chain and digitalisation
Model the spare parts supply chain and propose an MRO digitalisation plan.
Master's Thesis
The complete sustainment study with economic and environmental assessment, defended before a panel.
Career opportunities

Where this takes you

Sustainment EngineerReliability EngineerPredictive Maintenance EngineerSupply Chain ManagerEnergy EngineerMRO Quality Manager
Admissions & scholarships

Requirements

  • University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • Internet connection and a computer able to run 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.

Apply now Scholarships
FAQ

Frequently asked questions

The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with ReliaSoft Weibull++, HOMER Pro, MATLAB/Simulink, SAP PM and Python, 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 Master's Thesis. 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 in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.

A degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the 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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