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Master'sEnergy and Networks Applications open

Master’s in Smart Metering and AMI Data Quality

Online master's programme of 1,900 hours in smart metering and AMI data quality — metering, fraud and analytics. 12 modules covering advanced metering infrastructure, smart meters, AMI communications, meter data management systems, data quality, metering data governance, analytics, grid and consumer applications, cybersecurity and privacy, and deployment and operation, with IEC 62056 (DLMS/COSEM), Directive 2014/32/EU and Recommendation 2012/148/EU and an assigned technical tutor.

Duration12–14 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Understand the architecture of advanced metering infrastructure.

02

Analyse PLC communications and DLMS/COSEM protocols.

03

Design validation, estimation and editing (VEE) processes.

04

Measure and improve the quality of metering data.

05

Apply AMI data analytics to grid operation.

06

Govern metering data in compliance with the GDPR.

07

Plan the deployment and operation of AMI systems.

Profile

Who it's for

  • AMI systems engineers.
  • Metering data quality analysts.
  • Remote meter management engineers.
  • Metering data managers.
  • Energy data analysts.
  • Data protection officers in utilities.
  • Engineering or science graduates seeking to enter electricity distribution.
Standards & tools

What you'll work with

  • IEC 62056 (DLMS/COSEM electricity metering data exchange)
  • Directive 2014/32/EU (Measuring Instruments Directive)
  • Recommendation 2012/148/EU (preparations for the roll-out of smart metering systems)
  • EN 50470-3 (static meters for active energy)
  • ITU-T G.9904 (PRIME narrowband PLC)
  • Regulation (EU) 2016/679 (GDPR — General Data Protection Regulation)
  • Spanish Royal Decree 1110/2007 (unified regulation of electricity metering points)
  • IEC 62052-11 (electricity metering equipment — general requirements and tests)
  • Python with pandas
  • Siemens EnergyIP
  • Itron Enterprise Edition
  • Power BI
  • Gurux DLMS
Syllabus

12 modules

  1. 1.1Evolution of remote meter management
  2. 1.2AMI functional architecture
  3. 1.3Second-generation smart meters
  4. 1.4Data concentrators
  5. 1.5MDMS management systems
  6. 1.6Roll-out in Spain
  7. 1.7The second generation of meters
  8. 1.8EU minimum functionalities
  9. 1.9Benefits and costs
  10. 1.10Case study: AMI architecture of a distribution company
  1. 2.1Electrical energy metrology
  2. 2.2Accuracy classes
  3. 2.3The Measuring Instruments Directive
  4. 2.4Meter functions
  5. 2.5Hourly load profiles
  6. 2.6Event logging
  7. 2.7Customer interface
  8. 2.8Gas and water meters
  9. 2.9Meter certification
  10. 2.10Lab: metrological verification of a meter
  1. 3.1PRIME PLC and G3-PLC
  2. 3.2RF mesh networks
  3. 3.3Cellular communications for meters
  4. 3.4DLMS/COSEM application protocol
  5. 3.5OBIS object model
  6. 3.6Communication topology
  7. 3.7Reading reliability
  8. 3.8Communications diagnostics
  9. 3.9Communications security
  10. 3.10Practical exercise: DLMS/COSEM frame analysis
  1. 4.1Architecture of an MDMS
  2. 4.2Reading collection
  3. 4.3VEE validation process
  4. 4.4Reading estimation
  5. 4.5Event management
  6. 4.6Integration with billing
  7. 4.7Integration with grid systems
  8. 4.8MDMS scalability
  9. 4.9Historical storage of readings
  10. 4.10Lab: VEE workflow for hourly readings
  1. 5.1Dimensions of data quality
  2. 5.2Completeness of readings
  3. 5.3Accuracy and consistency
  4. 5.4Treatment of outliers
  5. 5.5Automatic validation rules
  6. 5.6Gap estimation
  7. 5.7Quality indicators
  8. 5.8Data incident management
  9. 5.9Continuous quality improvement
  10. 5.10Practical exercise: quality indicators for a meter population
  1. 6.1Data governance in utilities
  2. 6.2Data ownership
  3. 6.3Consumer access
  4. 6.4Personal data protection
  5. 6.5Data hubs and exchange platforms
  6. 6.6Data exchange with retailers
  7. 6.7Exchange formats
  8. 6.8Lineage and traceability
  9. 6.9Auditing data processing
  10. 6.10Workshop: metering data access policy
  1. 7.1Consumption profiles
  2. 7.2Customer segmentation
  3. 7.3Demand forecasting
  4. 7.4Fraud detection
  5. 7.5Phase identification
  6. 7.6Low-voltage energy balance
  7. 7.7Detection of undeclared self-consumption
  8. 7.8Voltage quality
  9. 7.9Data visualisation
  10. 7.10Lab: energy balance per secondary substation
  1. 8.1Low-voltage monitoring
  2. 8.2Fault detection
  3. 8.3Outage management
  4. 8.4Grid planning
  5. 8.5Integration with ADMS
  6. 8.6EV charging management
  7. 8.7Overload detection
  8. 8.8Voltage control
  9. 8.9Advanced use cases
  10. 8.10Practical exercise: broken neutral detection with AMI data
  1. 9.1Consumer information
  2. 9.2Dynamic and time-of-use tariffs
  3. 9.3Demand response
  4. 9.4Self-consumption and net metering
  5. 9.5Data for energy communities
  6. 9.6Efficiency applications
  7. 9.7Detection of energy poverty
  8. 9.8HAN interface with the home
  9. 9.9User experience
  10. 9.10Case study: consumption information service
  1. 10.1Threats to AMI
  2. 10.2Key management in meters
  3. 10.3Security in the DLMS protocol
  4. 10.4MDMS security
  5. 10.5Privacy by design
  6. 10.6GDPR applied to metering
  7. 10.7Impact assessment
  8. 10.8Security audits
  9. 10.9Incident response
  10. 10.10Practical exercise: privacy impact assessment
  1. 11.1Roll-out planning
  2. 11.2Installation logistics
  3. 11.3Supplier management
  4. 11.4Interoperability testing
  5. 11.5System operation
  6. 11.6Equipment maintenance
  7. 11.7Operational indicators
  8. 11.8Meter replacement
  9. 11.9Lessons learned from roll-outs
  10. 11.10Workshop: meter replacement plan
  1. 12.1Problem definition
  2. 12.2Infrastructure analysis
  3. 12.3Data quality assessment
  4. 12.4Design of improvement processes
  5. 12.5Development of the analytical solution
  6. 12.6Validation of results
  7. 12.7Implementation plan
  8. 12.8Impact assessment
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

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 you can combine the programme with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python with pandas, Siemens EnergyIP, Itron Enterprise Edition, Power BI and Gurux DLMS, in free, academic or evaluation versions. Practical work is based on real procedures for metrological verification of meters, validation of readings with VEE rules and data quality analysis of meter populations. Assessment is continuous for each module, plus the final Master's Thesis.

Standards covered: IEC 62056 (DLMS/COSEM), Directive 2014/32/EU on measuring instruments, Recommendation 2012/148/EU on smart metering, EN 50470-3, ITU-T G.9904 (PRIME), Regulation (EU) 2016/679 (GDPR), Spanish Royal Decree 1110/2007 and IEC 62052-11.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of IEC 62056 (DLMS/COSEM), Directive 2014/32/EU and the GDPR applied to real cases, not as a theoretical annex.
Industry software:Python with pandas, Siemens EnergyIP, Itron Enterprise Edition, Power BI and Gurux DLMS, in free, academic or evaluation versions.
Master's Thesis with defence:A data quality and analytics solution for a real AMI deployment, from infrastructure analysis and quality assessment to improvement processes, validation and implementation plan, defended before a panel.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Infrastructure analysis
Analyse the AMI architecture, communications and MDMS of a meter population.
Data quality assessment
Measure completeness, accuracy and consistency with quality indicators.
Improvement processes
Design VEE rules and data incident management processes.
Analytical solution
Develop and validate an analytics use case such as LV energy balance or fraud detection.
Master's Thesis
Present the solution with its implementation plan and impact assessment, defended before a panel.
Career opportunities

Where this takes you

AMI systems engineerMetering data quality analystRemote meter management engineerMetering data managerEnergy data analystUtility data protection officer
Admissions & scholarships

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.

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FAQ

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 Python with pandas, Siemens EnergyIP, Itron Enterprise Edition, Power BI and Gurux DLMS, 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 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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