Postgraduate Diploma in Asset Modelling and What-if Planning
Online 800-hour postgraduate diploma in Asset Modelling and What-if Planning. 8 modules covering ISO 55001 (asset management systems), ISO 55000 (asset management: overview and terminology) and Python (pandas, SimPy). Assigned tutor and open enrolment.
Postgraduate Diploma in Asset Modelling and What-if Planning — studying from Ireland
Ireland's energy sector is undergoing significant change, with a growing share of wind power, expanding grid infrastructure and investment in interconnection and storage. The Electricity Supply Board (ESB) and Gas Networks Ireland manage major transmission and distribution assets, while EirGrid operates the national electricity transmission system. Engineers work on grid planning, renewable integration, network operation and energy system modelling. Regulation is provided by the Commission for Regulation of Utilities, with national targets set by government climate and energy policy.
Fees for Ireland: €1,090 (Euro), with instalments and employer sponsorship available.
Relevant bodies in Ireland
Typical roles
Questions from Ireland
Which Irish bodies oversee energy and network engineering recognition?
The Commission for Regulation of Utilities regulates electricity and gas markets in Ireland, and EirGrid and ESB Networks operate the transmission and distribution systems. Engineers Ireland sets professional engineering standards and chartership. SEIUM's qualifications are private and not accredited by any national body, so their recognition is for employers or the relevant body to determine.
Do Irish energy and utility employers consider private online engineering qualifications?
Irish utilities, grid operators and consultancies generally prioritise professional registration, relevant degrees and operational experience. A private online qualification may support your application as evidence of study, but how it is weighed is at each employer's discretion. We cannot guarantee any outcome, so ask prospective employers directly.
Can I study alongside a job, and does my employer need to fund it?
The programme is online and taught in English, so you can study from home in Ireland with no travel and no student visa required. Plan for 1,900 hours on a master's, 800 on a postgraduate diploma or 300 on a specialist course. Each student has an assigned technical tutor, fees can be paid in instalments, and employer funding is possible but not required, so it is worth raising with your employer.
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
Apply the ISO 55001 framework to network asset management.
Build degradation and failure probability models using real data.
Design a simplified digital twin of an asset fleet.
Simulate what-if scenarios for investment, maintenance and renewal.
Prioritise assets according to risk and criticality criteria.
Optimise investment portfolios under budget constraints.
Define indicators and governance for a strategic asset plan.
Who it's for
- Asset management engineer looking to specialise in Asset Modelling and What-if Planning.
- Network reliability analyst looking to specialise in Asset Modelling and What-if Planning.
- Infrastructure investment planner looking to specialise in Asset Modelling and What-if Planning.
- Digital twin specialist looking to specialise in Asset Modelling and What-if Planning.
- Predictive maintenance engineer looking to specialise in Asset Modelling and What-if Planning.
- Asset management consultant looking to specialise in Asset Modelling and What-if Planning.
- Graduates in engineering or science looking to enter electricity distribution.
What you'll work with
- ISO 55001 (asset management systems)
- ISO 55000 (asset management: overview and terminology)
- ISO 31000 (risk management)
- IEC 31010 (risk assessment techniques)
- IEC 60812 (failure modes and effects analysis, FMEA)
- IEC 60300-3-11 (reliability-centred maintenance)
- IEC 61649 (Weibull analysis)
8 modules · 800 h
1.1Asset management according to ISO 55000 and ISO 550011.2Electrical asset inventory and hierarchy1.3Lifecycle: acquisition, operation and renewal1.4Risk, cost and performance as decision drivers1.5Asset data: GIS, ERP and CMMS1.6Data quality and completeness1.7Reliability indicators: SAIDI, SAIFI and ENS1.8Incentive regulation and assets1.9Strategic asset management plans1.10Workshop: data audit of a transformer inventory
2.1Weibull distributions and life analysis2.2Bathtub curves and failure rates2.3Physical degradation models2.4Thermal ageing of insulation according to IEC 60076-72.5State Markov models2.6Proportional hazards models2.7Censored data and estimation2.8Common-mode failures2.9Validation with failure histories2.10Practice: fitting a Weibull distribution to circuit breaker failures
3.1Concept and digital twin levels3.2Physical models versus data models3.3Integration of SCADA, GIS and maintenance3.4Network model with CIM IEC 61970 and 619683.5Twin synchronisation and updating3.6Digital twin platforms3.7Visualisation and dashboards3.8Model governance3.9Use cases in distribution companies3.10Laboratory: simplified digital twin of a substation
4.1Defining scenarios and assumptions4.2Demand and electrification scenarios4.3Climate and thermal loading scenarios4.4Monte Carlo simulation of failures4.5Discrete event simulation4.6Global sensitivity analysis4.7Alternative investment scenarios4.8Network stress analysis4.9Communicating results to management4.10Laboratory: Monte Carlo simulation of the transformer fleet
5.1Probability of failure and consequence5.2CNAIM methodology for risk indices5.3Risk monetisation5.4Criticality by customers and safety5.5Risk matrices and thresholds5.6Aggregated portfolio risk5.7Technological obsolescence risk5.8Uncertainty in risk estimation5.9Risk-based prioritisation5.10Case study: calculating monetised risk for a cable portfolio
6.1Whole-life cost6.2Replacement versus refurbishment6.3Investment portfolio optimisation6.4Applied linear and integer programming6.5Budget and resource constraints6.6Multi-objective optimisation6.7Decision-making with real options6.8Multi-year investment plan6.9Justification to the regulator6.10Practice: optimising the ten-year replacement plan
7.1Asset digitalisation roadmap7.2Organisation and roles7.3Change management7.4Systems and data architecture7.5Maturity indicators7.6Integration with maintenance processes7.7Audit of the asset management system7.8Continuous improvement7.9Lessons from real-world implementations7.10Case study: maturity assessment against ISO 55001
8.1Selecting the asset portfolio8.2Data preparation and cleansing8.3Degradation and failure model8.4Building the planning digital twin8.5Defining what-if scenarios8.6Risk calculation and prioritisation8.7Optimised investment plan8.8Recommendations to management8.9Report and presentation8.10Final review with the tutor
How you'll learn
Training 100 % online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it possible to combine it with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python (pandas, SimPy), MATLAB, AnyLogic, Power BI, advanced Excel, in free, academic or trial versions. The tests are studied through real procedures for modelling degradation curves using historical failure data, what-if investment scenario simulation, and risk and criticality matrices for network assets. Assessment is continuous, module by module, plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Apply the ISO 55001 framework to network asset management.
Build degradation and failure probability models using real data.
Design a simplified digital twin of an asset fleet.
Simulate what-if scenarios for investment, maintenance and renewal.
Prioritise assets according to risk and criticality criteria.
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.
- Sufficient level of Spanish to follow 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 consists of 800 hours in total, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
You work with Python (pandas, SimPy), MATLAB, AnyLogic, Power BI, advanced Excel. Free, academic or trial versions are used, and the tutor indicates the open-source alternative where one exists.
A SEIUM Institute own diploma upon passing the continuous assessment and the integrative project. This is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area can be recognised in the higher-level programme. Check the recognition policy when enrolling.
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