Master’s in ADMS Engineering
Online master's programme of 1,900 hours in ADMS engineering. 12 modules covering SCADA and communications, CIM network models and GIS, real-time analysis, outage management, FLISR and VVO optimisation, DERMS, smart metering integration, analytics and AI, cybersecurity and ADMS project implementation, with an assigned technical tutor.
Master’s in ADMS Engineering — studying from South Africa
Energy is a defining sector in South Africa, with Eskom operating the bulk of the national generation and transmission network and independent power producers increasingly contributing renewable capacity. Grid modernisation, renewable integration and distribution management create steady demand for engineers. The National Energy Regulator of South Africa oversees electricity regulation, while municipalities manage local distribution. Energy engineers typically work on generation, transmission, protection and system planning.
Fees for South Africa: R 166 000 (South African rand), with instalments and employer sponsorship available.
Relevant bodies in South Africa
Typical roles
Questions from South Africa
Which South African bodies regulate energy and networks engineers, and would SEIUM count?
Energy engineers in South Africa are registered through ECSA, and the electricity sector is regulated by NERSA. Utilities and networks often require registered professionals for certain work. SEIUM is a private online institute, and its qualifications are not official state degrees or accredited by a national body. Recognition is for employers and the relevant body to decide, so verify this before enrolling.
Will this qualification help me find work with energy or network employers in South Africa?
South Africa's energy sector includes Eskom, municipalities, independent power producers and grid-related firms, which typically hire registered and experienced engineers. A private online qualification may support your application but does not guarantee a role. Check with target employers how they view it, and combine it with practical experience where possible.
How do I manage the workload, and can I get help with fees?
The programme is fully online and taught in English, so you need good English, and no student visa is needed to study from home. Master's programmes are 1,900 hours, postgraduate diplomas 800 hours and specialist courses 300 hours, with an assigned technical tutor and a final project. Fees are payable in instalments, and employer sponsorship may be possible, so ask your employer whether they would support the cost.
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
Describe the functions and architecture of an ADMS.
Integrate SCADA, GIS and CIM models.
Apply real-time network analysis to distribution.
Manage outages with OMS systems.
Implement optimisation applications such as FLISR and VVO.
Integrate distributed energy resources into operations.
Plan the implementation of an ADMS project.
Who it's for
- ADMS systems engineers.
- Distribution control centre operators.
- Smart grid solution architects.
- DERMS specialists.
- Network data analysts.
- Grid digitalisation project managers.
- Engineering or science graduates aiming to move into electricity distribution.
What you'll work with
- IEC 61968 (application integration in distribution, CIM)
- IEC 61970 (EMS application programme interface, CIM)
- IEC 60870-5-104 (telecontrol)
- IEC 61850 (communication in substations)
- IEC 62351 (security of power system communications)
- IEC 62443 (security of industrial automation systems)
- IEEE 2030.5 (smart energy profile for distributed resources)
- Royal Decree 1955/2000 (quality of service)
- OpenDSS
- DIgSILENT PowerFactory
- GridLAB-D
- Python (pandapower, scikit-learn)
- QGIS
12 modules · 1900 h
1.1Evolution from SCADA to ADMS1.2Functions of an ADMS1.3Relationship with OMS, DERMS and GIS1.4Distribution control centres1.5Challenges of the active network1.6The ADMS solutions market1.7Quantifiable benefits of ADMS1.8International success stories1.9Implementation roadmap1.10Case study: maturity of a distribution control centre
2.1Distribution SCADA architecture2.2Remote terminal units (RTUs)2.3IEC 60870-5-104 and DNP3 protocols2.4IEC 61850 in distribution2.5PLC, radio and cellular communications2.6Private LTE networks2.7Data acquisition and alarms2.8Operator human-machine interface2.9System availability2.10Laboratory: integrating an RTU via IEC 60870-5-104
3.1Connected network model3.2Common Information Model IEC 61968 and IEC 619703.3Integration between GIS and ADMS3.4Network data quality3.5Management of topological changes3.6Low-voltage modelling3.7Customer-to-network connectivity3.8Operational network diagrams3.9Network digital twin3.10Practical exercise: connectivity validation of a GIS model
4.1Real-time topology processor4.2State estimation in distribution4.3Real-time load flow4.4Online short-circuit analysis4.5Load forecasting4.6Contingency analysis4.7Switching simulation4.8Study mode4.9Accuracy under low observability4.10Laboratory: state estimation with pseudo-measurements
5.1Outage management system (OMS)5.2Customer calls and incident analysis5.3Fault location prediction5.4Crew management5.5Planning of work and outages5.6Customer communication5.7Calculation of quality indices5.8Management of extreme events5.9Integration with smart meters5.10Case study: managing a storm episode with OMS
6.1FLISR: fault location, isolation and service restoration6.2Optimal network reconfiguration6.3Volt-var optimisation (VVO)6.4Conservation voltage reduction6.5Loss minimisation6.6Congestion management6.7Phase balancing6.8Optimisation under uncertainty6.9Validation of benefits6.10Practical exercise: volt-var control on a feeder with photovoltaics
7.1Functions of a DERMS7.2Monitoring of distributed generation7.3Inverter control7.4Virtual power plants7.5Grid-connected storage7.6Electric vehicles as a resource7.7Coordination with aggregators7.8IEEE 2030.5 and OpenADR protocols7.9Dynamic operating envelopes7.10Laboratory: control of distributed generation on a congested network
8.1AMI systems and their integration8.2Meter events for OMS8.3Voltage data for VVO8.4Low-voltage visibility8.5Detection of neutral faults8.6Meter data management (MDM)8.7Latencies and volumes8.8Advanced metering analytics8.9Use cases8.10Practical exercise: using meter events to detect outages
9.1Demand forecasting with machine learning9.2Anomaly detection9.3Predictive maintenance of assets9.4Fault classification9.5Reinforcement learning in control9.6Predictive digital twins9.7Data platforms9.8Explainability for operators9.9Model governance9.10Laboratory: feeder load forecasting with neural networks
10.1Threats to ADMS systems10.2IEC 62351 for protocols10.3IEC 62443 for control systems10.4Segmentation between OT and IT networks10.5Identity management10.6Security monitoring10.7Interoperability between systems10.8Integration testing10.9Incident recovery10.10Workshop: risk analysis of ADMS–AMI integration
11.1Requirements analysis11.2Technical system specification11.3Vendor selection11.4Data migration11.5Acceptance testing11.6Operator training11.7Change management11.8Success indicators11.9Maintenance and evolution11.10Case study: phased ADMS implementation plan
12.1Selection of the network and use cases12.2Network model and data12.3ADMS architecture design12.4Selected advanced applications12.5Integration of distributed resources12.6Benefit assessment12.7Implementation plan12.8Conclusions and future work12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
The programme is delivered 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 it can be combined with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is OpenDSS, DIgSILENT PowerFactory, GridLAB-D, Python (pandapower, scikit-learn) and QGIS, in free, academic or evaluation versions. Work is based on real procedures for simulating FLISR and VVO applications, integrating AMI data into OMS and state estimation in distribution networks. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: IEC 61968, IEC 61970, IEC 60870-5-104, IEC 61850, IEC 62351, IEC 62443, IEEE 2030.5, Royal Decree 1955/2000.
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 OpenDSS, DIgSILENT PowerFactory, GridLAB-D, Python (pandapower, scikit-learn) and QGIS, 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 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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