Diploma in PdM Deployment: Integration with SCADA/CMMS
Online postgraduate diploma of 800 hours in PdM deployment and SCADA/CMMS integration. 8 modules covering SCADA and historians, CMMS/EAM integration, OT/IT architecture, predictive alert management, industrial cybersecurity and programme adoption under IEC 62264, IEC 62443 and ISO 14224, with an assigned technical tutor.
Diploma in PdM Deployment: Integration with SCADA/CMMS — studying from New Zealand
New Zealand's data and artificial intelligence sector is growing, with strong activity in Auckland, Wellington and Christchurch across fintech, agritech, health analytics and government data services. Universities including the University of Auckland, the University of Otago and Victoria University of Wellington run leading research in machine learning and computational modelling. Simulation and analytics skills are widely applied in agriculture, energy and environmental modelling, and employers include government agencies such as Stats NZ as well as technology firms and consultancies.
Fees for New Zealand: NZ$2,960 (New Zealand dollar), with instalments and employer sponsorship available.
Relevant bodies in New Zealand
Typical roles
Questions from New Zealand
Are data and AI engineering roles regulated in New Zealand, and how does that affect a private qualification?
Data and AI are not regulated professional titles in New Zealand, though privacy obligations fall under the Office of the Privacy Commissioner. Engineers who want chartered status can pursue registration through Engineering New Zealand. SEIUM's qualifications are private, not state degrees, and not accredited by a national body, so employers decide how much they value them.
Which New Zealand employers hire data, AI and simulation engineers?
Demand is found in banks and insurers, government agencies, healthcare, energy and utilities, technology firms, and consultancies. Employers usually assess portfolios, practical projects and technical interviews more than credentials. A private online programme can help build relevant skills, but it does not guarantee a position or a specific salary.
Can I complete this online from New Zealand in English while working?
Yes. The programmes are fully online and taught in English, so you can study from New Zealand without a student visa. You will have an assigned technical tutor and complete a final project. Specialist courses are 300 hours, diplomas 800 and master's 1,900. Fees can be paid in instalments, and some employers sponsor study, so ask yours early.
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
Understand the value chain of a predictive alert.
Integrate predictive models with SCADA and historians.
Connect alerts to the CMMS to generate work orders.
Design robust OT/IT integration architectures.
Manage predictive alerts while avoiding overload.
Secure the integration in line with industrial cybersecurity standards.
Drive adoption and measure the value of the PdM programme.
Who it's for
- OT/IT integration engineers connecting plant systems with enterprise platforms.
- Predictive maintenance engineers whose models need to reach the work order.
- Industrial solutions architects.
- Maintenance systems managers responsible for CMMS and EAM platforms.
- SCADA engineers.
- Digital transformation programme managers.
- Engineering or science graduates seeking to enter the energy sector.
What you'll work with
- IEC 62264 (ISA-95: enterprise-control integration)
- IEC 62443 (Security of industrial automation and control systems)
- ISO 14224:2016 (Reliability and maintenance data)
- ISO 13374 (Condition monitoring data processing and communication)
- ANSI/ISA-18.2 (Alarm management)
- IEC 62541 (OPC Unified Architecture)
- MIMOSA OSA-CBM (Open system architecture for condition-based maintenance)
- AVEVA PI System
- IBM Maximo
- SAP Plant Maintenance
- Ignition (Inductive Automation)
- Node-RED
8 modules
1.1Why PdM pilots fail1.2Value chain: data, alert, work order and action1.3Stakeholders: operations, maintenance and IT1.4Integration requirements1.5PdM reference architecture1.6Prioritised use cases1.7Operational success criteria1.8Scaling up from the pilot1.9Integration risks1.10Workshop: value map of a predictive alert
2.1SCADA and DCS architecture2.2Tags, alarms and events2.3Process historians: PI System and others2.4Data access via OPC UA and OPC DA2.5Tag data quality2.6Asset context in the historian2.7Write limits in SCADA2.8Integration of model results2.9Alert visualisation on the HMI2.10Lab: reading tags via OPC UA
3.1Functions of a CMMS3.2Asset and location hierarchy3.3Notifications, work orders and plans3.4Failure codes according to ISO 142243.5APIs of SAP PM, Maximo and others3.6Automatic notification creation3.7Feedback of findings3.8Maintenance data quality3.9Integration with spare parts and purchasing3.10Practical exercise: automatic notification creation via API
4.1OT/IT integration patterns4.2Middleware and message buses4.3Edge gateways and connectors4.4Inference at the edge or in the cloud4.5Identity and credential management4.6Unified Namespace for maintenance4.7Latency and availability4.8Fault tolerance and retries4.9Interface documentation4.10Lab: alert flow from edge to CMMS
5.1From prediction to alert5.2Thresholds and severity levels5.3Rationalisation according to ISA-18.25.4Avoiding alert floods5.5Enrichment with context and evidence5.6Specialist review workflow5.7Decision and work order creation5.8Closing the loop with results5.9Alert quality indicators5.10Case study: designing the alert flow for a plant
6.1Segmentation according to IEC 62443 and the Purdue model6.2Demilitarised zones for maintenance data6.3Data diodes and unidirectional flow6.4Secure remote access6.5Patch management in OT6.6OT security monitoring6.7NIS2 requirements6.8Continuity and backup6.9Auditing the integration6.10Practical exercise: designing PdM zones and conduits
7.1Change management in maintenance7.2Training technicians and planners7.3Trust in recommendations7.4Impact indicators: availability and costs7.5Calculating avoided value7.6Programme dashboards7.7Governance of models in operation7.8Scaling the programme to other plants7.9Lessons from real deployments7.10Workshop: PdM programme scaling plan
8.1Use case and assets8.2Integration architecture8.3SCADA integration8.4CMMS integration8.5Alert flow8.6Architecture security8.7Adoption and measurement plan8.8Value assessment8.9Report and presentation8.10Final project: final review with the tutor
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 each intake, so the programme is compatible with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is AVEVA PI System, IBM Maximo, SAP Plant Maintenance, Ignition (Inductive Automation) and Node-RED, in free, academic or evaluation versions. Practical work is based on real procedures for integrating predictive alerts with automatic notification creation, designing zones and conduits for the PdM architecture and measuring the value of a predictive programme. Assessment is continuous by module plus the final project.
Standards covered: IEC 62264, IEC 62443, ISO 14224:2016, ISO 13374, ANSI/ISA-18.2, IEC 62541, MIMOSA OSA-CBM.
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 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 AVEVA PI System, IBM Maximo, SAP Plant Maintenance, Ignition (Inductive Automation) and Node-RED, 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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