Diploma in Life Cycle Cost and Reliability
Online postgraduate diploma of 800 hours in life cycle cost and reliability. 8 modules covering IEC 60300-3-3:2017, IEC 61703:2016 and ISO 15663:2021, with ReliaSoft Weibull++ and BlockSim, Isograph Availability Workbench and Python, with an assigned technical tutor.
Diploma in Life Cycle Cost and Reliability — studying from India
India's automation and robotics market is growing with the expansion of manufacturing, automotive and electronics production. Industrial automation firms such as ABB, Siemens, Fanuc and Bosch operate in the country, alongside domestic integrators and start-ups in Bengaluru, Pune, Chennai and Hyderabad. Research institutions including the Indian Institute of Science and several IITs contribute to robotics and control research. Standards for industrial machinery and safety draw on the Bureau of Indian Standards. Engineers in this area design control systems, robotic cells, automation solutions and programmable logic controllers for factories and warehouses.
Fees for India: ₹137,000 (Indian Rupee), with instalments and employer sponsorship available.
Relevant bodies in India
Typical roles
Questions from India
Is there a professional body in India that recognises robotics and automation engineers?
Robotics in India has no separate statutory title. The Institution of Engineers (India) is the main general engineering body, and technical standards come from the Bureau of Indian Standards. SEIUM's qualification is private and not accredited by any national body, so recognition rests with employers and the relevant body.
Which employers in India hire robotics and automation engineers?
Automotive plants, electronics manufacturers, factory automation suppliers, logistics firms, and robotics startups are typical employers. Hiring focuses on skills and project experience. The qualification can support a profile, but employers decide how much it counts and no outcome is guaranteed.
Can I study robotics online from India while working, and what language?
Yes, the programme is 100% online, so you can study from anywhere in India without a student visa and fit it around work. It is taught in English, so you need a reasonable level of the language. Each student has an assigned technical tutor, fees can be paid in instalments, and employer sponsorship is possible.
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
Master the core concepts and distributions of reliability.
Model the reliability and availability of complex systems.
Analyse life data and reliability growth.
Build life cycle cost models.
Make investment and replacement decisions using RAM and LCC criteria.
Apply the RCM methodology to industrial systems.
Build reliability and total cost requirements into design and procurement.
Who it's for
- Reliability engineers.
- Asset management engineers making investment and replacement decisions.
- RAM analysts.
- Maintenance engineering managers.
- Technical procurement engineers evaluating bids on total cost.
- LCC consultants.
- Engineering or science graduates aiming to enter the oil and gas sector.
What you'll work with
- IEC 60300-3-3:2017 (life cycle costing)
- IEC 61703:2016 (mathematical expressions for reliability and availability)
- ISO 15663:2021 (life cycle costing in oil and gas)
- IEC 61649 (Weibull analysis)
- IEC 61025 (fault tree analysis)
- IEC 61078 (reliability block diagrams)
- SAE JA1011 (evaluation criteria for RCM)
- ISO 14224:2016 (collection of reliability and maintenance data)
- ReliaSoft Weibull++ and BlockSim
- Isograph Availability Workbench
- R with the WeibullR package
- Python with reliability
- Microsoft Excel with @RISK
8 modules
1.1Reliability, availability and maintainability (RAM)1.2Failure rate and the bathtub curve1.3Exponential, Weibull and lognormal distributions1.4MTBF, MTTF and MTTR1.5Handling censored data1.6Failure data sources: OREDA and NPRD1.7Component and system reliability1.8Dependence between failures1.9Software reliability1.10Workshop: Weibull parameter estimation
2.1Reliability block diagrams2.2Series, parallel and k-out-of-n systems2.3Active and standby redundancy2.4Fault tree analysis (FTA)2.5Markov chains for repairable systems2.6Monte Carlo simulation of availability2.7Common cause failures2.8Importance analysis2.9Allocation of reliability targets2.10Lab: RBD of a production line
3.1Maximum likelihood estimation3.2Weibull probability plots3.3Confidence intervals for Weibull parameters3.4Renewal processes and NHPP3.5The Crow-AMSAA model3.6Warranty analysis3.7Accelerated life testing3.8Arrhenius and Eyring models3.9Bayesian analysis with limited data3.10Practical: reliability growth analysis
4.1Cost breakdown structure4.2Acquisition, operating and disposal costs4.3Life cycle energy costs4.4Maintenance and spare parts costs4.5Cost of unavailability4.6Time value of money and discounting4.7Inflation and cost escalation4.8Residual value and decommissioning4.9Parametric cost models4.10Practical: LCC model of an industrial pump
5.1Comparing investment alternatives5.2Trade-off between reliability and cost5.3Optimal preventive replacement interval5.4Repair or replace: economic analysis5.5Economic life of an asset5.6Sensitivity and tornado analysis5.7Uncertainty with Monte Carlo5.8Cost of risk5.9Indicators for management5.10Case study: compressor replacement
6.1RCM methodology according to SAE JA10116.2Functions and functional failures6.3FMECA and criticality6.4Selecting maintenance tasks6.5Condition-based maintenance6.6Failure-finding for hidden failures6.7Redesign when no effective task exists6.8Optimising existing plans (PMO)6.9Auditing the RCM programme6.10Case study: RCM analysis of a hydraulic system
7.1RAM requirements in specifications7.2Design for reliability (DfR)7.3Component derating7.4Reliability prediction7.5Design reviews and FMEA7.6LCC requirements in tenders7.7Evaluating bids by total cost7.8Contractual reliability guarantees7.9Reliability demonstration7.10Workshop: RAM specification for a purchase
8.1Defining the asset and its context8.2Collecting failure and cost data8.3Reliability modelling8.4Life cycle cost model8.5Evaluating alternatives8.6Sensitivity and uncertainty analysis8.7Strategy recommendation8.8Maintenance plan8.9Report and presentation8.10Final project: final review with the tutor
How you'll learn
Training is 100% online 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 each intake, so the programme fits around your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is ReliaSoft Weibull++ and BlockSim, Isograph Availability Workbench, R with the WeibullR package, Python with reliability, and Microsoft Excel with @RISK, in free, academic or evaluation versions. Practical work is based on real procedures: Weibull analysis of failure histories, Monte Carlo simulation of system availability, and comparison of alternatives by life cycle cost. Assessment is continuous by module, plus the final project.
Standards covered: IEC 60300-3-3:2017, IEC 61703:2016, ISO 15663:2021, IEC 61649, IEC 61025, IEC 61078, SAE JA1011 and ISO 14224:2016.
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
- 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.
- 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 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 ReliaSoft Weibull++ and BlockSim, Isograph Availability Workbench, R with the WeibullR package, Python with reliability, and Microsoft Excel with @RISK, 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 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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