Master’s in Maintenance, Reliability and Continuous Improvement Engineering
Online master's programme of 1,900 hours in maintenance, reliability and continuous improvement engineering. 12 modules covering maintenance management, reliability statistics, repairable systems, failure mode analysis, RCM, condition-based maintenance, policy optimisation, CMMS planning, TPM, root cause analysis and asset management, with an assigned technical tutor.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Analyse failure data with statistical reliability models.
Design maintenance plans using the RCM methodology.
Apply FMEA and fault trees to prioritise risks.
Implement condition-based maintenance programmes.
Optimise maintenance intervals according to cost and availability.
Lead TPM and continuous improvement projects on the shop floor.
Align maintenance management with ISO 55001.
Who it's for
- Reliability engineers.
- Maintenance managers.
- Continuous improvement leads.
- Industrial asset managers.
- Predictive maintenance engineers.
- TPM consultants.
- Engineering or science graduates seeking to enter the automotive sector.
What you'll work with
- UNE-EN 13306 (maintenance terminology)
- ISO 55001 (asset management systems)
- SAE JA1011 (evaluation criteria for RCM processes)
- UNE-EN 15341 (maintenance key performance indicators)
- IEC 60812 (failure modes and effects analysis (FMEA and FMECA))
- IEC 61025 (fault tree analysis)
- IEC 60300-3-3 (life cycle costing)
- ISO 20816-1 (measurement and evaluation of machine vibration)
- ReliaSoft Weibull++
- IBM Maximo
- SAP Plant Maintenance
- Minitab
- Python with the reliability library
12 modules · 1900 h
1.1Evolution from corrective to condition-based maintenance1.2Types: corrective, preventive, predictive and proactive1.3Organisational structure of the maintenance department1.4Standard terminology according to UNE-EN 133061.5Key indicators according to UNE-EN 153411.6Direct and indirect costs and lost production1.7Maintenance across the asset lifecycle1.8Relationship between production, quality and maintenance1.9Maintenance maturity benchmarking1.10Case study: diagnosis of a maintenance department
2.1Reliability function, density and failure rate2.2The bathtub curve and failure mechanisms2.3Exponential distribution and mean time between failures2.4Two- and three-parameter Weibull distribution2.5Lognormal and gamma distributions in mechanical failures2.6Censored data and Kaplan-Meier estimation2.7Maximum likelihood estimation2.8Probability plots and goodness of fit2.9Confidence intervals for reliability parameters2.10Lab: Weibull fit of bearing failure histories
3.1Renewal processes and non-homogeneous Poisson processes3.2Crow-AMSAA model for reliability growth3.3Reliability block diagrams3.4Series, parallel and k-out-of-n systems3.5Active and standby redundancy3.6Markov chains for availability3.7Maintainability: MTTR and repair distributions3.8Inherent, achieved and operational availability3.9Monte Carlo simulation of complex systems3.10Practical exercise: RBD model of a packaging line
4.1Design and process FMEA according to IEC 608124.2Severity, occurrence and detection scales4.3Action priority versus risk priority number4.4FMECA and criticality matrices4.5Fault tree analysis according to IEC 610254.6Logic gates, minimal cut sets and importance4.7Event tree analysis4.8HAZOP hazard analysis in maintenance4.9Integrating FMEA with the maintenance plan4.10Workshop: FMECA of a centrifugal pump
5.1The seven RCM questions according to SAE JA10115.2Operating context and asset functions5.3Functional failures and hidden consequences5.4RCM task decision tree5.5P-F interval and on-condition tasks5.6Failure-finding of hidden failures and frequencies5.7Redesign and run-to-failure tasks5.8Streamlined RCM and criticality analysis5.9Auditing RCM programmes5.10Case study: RCM analysis of an air compressor
6.1Architecture of a CBM programme according to ISO 133746.2Vibration analysis according to ISO 208166.3Infrared thermography on electrical and mechanical equipment6.4Oil and wear particle analysis6.5Ultrasound for leaks and lubrication6.6Motor current signature analysis6.7Alarm thresholds and trends6.8Inspection routes and optimal frequencies6.9Return on investment of a predictive programme6.10Lab: spectrum-based misalignment diagnosis
7.1Age replacement and block replacement7.2Minimum cost per unit time models7.3Imperfect maintenance and improvement factor7.4Grouping of interventions and opportunities7.5Optimal inspection of hidden failures7.6Repair-or-replace decisions7.7Life cycle cost analysis according to IEC 60300-3-37.8Multi-objective cost-availability optimisation7.9Scheduling of shutdowns and major overhauls7.10Practical exercise: optimal preventive replacement interval
8.1Asset hierarchy and technical coding8.2Work orders and approval workflow8.3Weekly planning and daily scheduling8.4Time estimation and work packages8.5Materials management and reservations in the CMMS8.6Autonomous maintenance and operator routes8.7Contractor management and service level agreements8.8CMMS integration with ERP and MES systems8.9Mobility and digital work orders in the field8.10Workshop: setting up preventive plans in a CMMS
9.1The eight pillars of TPM9.2Overall equipment effectiveness and the six big losses9.3Initial cleaning, inspection and lubrication9.4Visual standards and one-point lessons9.5Focused improvement and elimination of minor stoppages9.6Quality maintenance and the QA matrix9.7Early equipment management9.8Training and the skills matrix9.9Phased implementation of TPM9.10Case study: improving the OEE of a press
10.1The PDCA cycle and problem management10.2Root cause analysis with the five whys10.3Ishikawa diagrams and cause trees10.4The 8D method for recurring problems10.5Pareto analysis of breakdowns and costs10.6Bad actors and management of chronic defects10.7Kaizen and rapid improvement events10.8Standardisation of maintenance work10.9Visual management and shift meetings10.10Workshop: RCA of a recurring breakdown
11.1Asset management system according to ISO 5500111.2Strategic asset management plan11.3Risk and criticality for decision-making11.4Performance indicators aligned with the business11.5Maintenance 4.0 and IIoT11.6Digital twin for maintenance11.7Prescriptive analytics and recommendations11.8Cybersecurity of connected assets11.9Change management and reliability culture11.10Case study: digital transformation roadmap
12.1Selection of the asset or plant to be studied12.2Collection and cleansing of failure data12.3Criticality and failure mode analysis12.4Reliability and availability modelling12.5Proposed maintenance strategy12.6Continuous improvement plan and KPIs12.7Economic evaluation of the proposal12.8Implementation plan and risks12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: you progress at your own pace within the intake, making it compatible with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is ReliaSoft Weibull++, IBM Maximo, SAP Plant Maintenance, Minitab and Python with the reliability library, in free, academic or evaluation versions. Exercises are based on real procedures for analysing failure histories in an industrial plant, RCM studies of critical equipment and OEE and loss assessment on a production line. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: UNE-EN 13306, ISO 55001, SAE JA1011, UNE-EN 15341, IEC 60812, IEC 61025, IEC 60300-3-3, ISO 20816-1.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- 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.
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++, IBM Maximo, SAP Plant Maintenance, Minitab and Python with the reliability library, 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 university 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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