Postgraduate Diploma in Data Quality and Billing Integration
Online 800-hour Postgraduate Diploma in Data Quality and Billing Integration. 8 modules covering IEC 61968-9 (meter reading and control interfaces), ISO 8000 (data quality) and SQL. Assigned tutor and open enrolment.
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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 flow of measurement data in distribution.
Design validation rules for measurement data.
Apply methods for estimating and filling in readings.
Integrate measurement data with billing systems.
Implement a data governance model.
Define data quality control indicators.
Plan system migrations while preserving data quality.
Who it's for
- Measurement data analyst wishing to specialise in Data Quality and Billing Integration.
- Data quality manager wishing to specialise in Data Quality and Billing Integration.
- Billing systems consultant wishing to specialise in Data Quality and Billing Integration.
- MDM engineer wishing to specialise in Data Quality and Billing Integration.
- Energy sector data steward wishing to specialise in Data Quality and Billing Integration.
- Commercialisation process analyst wishing to specialise in Data Quality and Billing Integration.
- Graduates in engineering or sciences seeking to join electricity distribution companies.
What you'll work with
- IEC 61968-9 (interfaces for meter reading and control)
- ISO 8000 (data quality)
- ISO/IEC 25012 (data quality model)
- Real Decreto 1110/2007 (measurement points regulation)
- Reglamento (UE) 2016/679 (RGPD)
- Directiva (UE) 2019/944 (internal electricity market)
8 modules · 800 h
1.1Data chain from the meter to the invoice1.2MDM systems for measurement data management1.3Types of measurement points and their regulation1.4Hourly and quarter-hourly curves1.5Readings, closings and billing records1.6Measurement points regulation in Spain1.7Regulatory deadlines for sending data1.8File exchange with retailers1.9Measurement quality indicators1.10Case study: tracing a reading to the invoice
2.1VEE rules for validation, estimation and editing2.2Range and consistency checks2.3Detection of jumps and gaps2.4Validation of curves against closings2.5Meter change verification2.6Detection of out-of-sync clocks2.7Meter events and their interpretation2.8Prioritisation of exceptions2.9Rule automation2.10Laboratory: implementing VEE rules in Python
3.1Historical estimation methods3.2Estimation using consumption profiles3.3Interpolation of short gaps3.4Estimation during prolonged outages3.5REE profiles for consumers without a curve3.6Subsequent regularisations3.7Traceability of estimated data3.8Impact on billing and complaints3.9Estimation percentage indicators3.10Practice: comparing estimation methods
4.1MDM, CIS and billing architecture4.2Exchange interfaces and APIs4.3Measurement file formats4.4Reconciliation of energy and power4.5Access tariffs and time periods4.6Billing for self-consumption and surplus energy4.7Management of supplier changes4.8Billing of reactive energy surcharges4.9Common integration errors4.10Workshop: reconciling a batch of invoices
5.1Data governance models in utilities5.2Roles: owner, custodian and user5.3Data dictionary and metadata5.4Data quality according to ISO 80005.5Lineage and traceability5.6Master data management for supply points5.7Data protection and GDPR5.8Consumer access to their data5.9Data quality audits5.10Case study: measurement data dictionary
6.1Measurement quality dashboards6.2Anomaly detection with machine learning6.3Energy balances by transformer substation6.4Detection of topology errors6.5Monitoring of readings not received6.6Smart metering performance indicators6.7Root cause analysis of errors6.8Continuous process improvement6.9Benchmarking between distribution companies6.10Laboratory: data quality control dashboard
7.1Market MDM platforms7.2Legacy system migration7.3Billing regression testing7.4Managing large data volumes7.5Cloud architectures7.6Scalability for quarter-hourly curves7.7Business continuity and backups7.8Technology supplier management7.9Cybersecurity of measurement data7.10Practice: test plan for an MDM migration
8.1Diagnosis of the data chain8.2Definition of quality indicators8.3VEE rule design8.4Estimation design8.5Billing integration8.6Data governance model8.7Dashboard and monitoring8.8Implementation plan8.9Report and presentation8.10Final review with the tutor
How you'll learn
Training 100 % online on the SEIUM campus, with downloadable material, recorded classes and assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is SQL, Python (pandas), SAP IS-U, Power BI, in free, academic or evaluation versions. Tests are studied using real procedures for VEE validation rules on load curves, measurement-to-billing reconciliation and data governance audits. Assessment is continuous per module plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Describe the flow of measurement data in distribution.
Design validation rules for measurement data.
Apply methods for estimating and filling in readings.
Integrate measurement data with billing systems.
Implement a data governance model.
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 Spanish to follow technical regulatory reading.
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 comprises 800 total hours spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.
You will work with SQL, Python (pandas), SAP IS-U and Power BI. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM diploma upon passing the continuous assessment and the integrating project. This is in-house training, not an official Ministry qualification.
Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the advanced programme. Check the recognition policy when you enrol.
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