Diploma in Operational Data Governance and Data Quality
Online postgraduate diploma of 800 hours in operational data governance and data quality. 8 modules covering governance operating models, metadata and catalogues, data quality dimensions (ISO 8000, ISO/IEC 25012), monitoring, master data management, remediation and compliance, with an assigned technical tutor.
Diploma in Operational Data Governance and Data Quality — studying from Ireland
Ireland has a modest automotive footprint, with activity centred on component supply, automotive electronics, testing and aftermarket services rather than vehicle assembly. Motorsport and performance engineering are represented by teams, specialist workshops and engineering consultancies, often linked to the Irish motorsport community. Engineers in this area work on powertrain components, vehicle dynamics, sensor integration and testing for both established manufacturers and suppliers. Regulatory oversight for road vehicles comes from national and European type-approval bodies, while industry collaboration is coordinated through automotive and engineering associations.
Fees for Ireland: €895 (Euro), with instalments and employer sponsorship available.
Relevant bodies in Ireland
Typical roles
Questions from Ireland
Which Irish bodies are relevant for recognising automotive engineering qualifications?
In Ireland, Engineers Ireland is the principal professional body for engineers and runs chartered engineer registration. Automotive vehicle standards and roadworthiness fall under the Road Safety Authority and the National Car Test system. SEIUM's qualifications are private and not accredited by any national body, so their recognition is for employers or the relevant body to decide. Confirm this with them before enrolling if it matters for your career.
Where do automotive and motorsport engineers typically work in Ireland, and do employers value online study?
Ireland has automotive supply chain and engineering activity, along with motorsport and vehicle-related design roles, though it is a smaller market than larger European countries. Employers usually weigh practical experience and proven skills heavily. An online private qualification can complement a CV, but whether it is valued depends on each employer, and no outcome can be guaranteed.
How do I fit this programme around work and what language level is needed?
Study is fully online and taught in English, so you need a good working command of English for technical reading and written assignments. Master's programmes are 1,900 hours, postgraduate diplomas 800 hours and specialist courses 300 hours. Each student receives an assigned technical tutor. Fees can be paid in instalments, and employer sponsorship may be possible, so raise that with your employer 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
Design an operating model for data governance.
Implement data catalogues and business glossaries.
Define data quality dimensions and rules.
Monitor quality in processes and pipelines.
Manage master data consistently.
Remediate quality issues at their root cause.
Align data governance with regulatory compliance.
Who it's for
- Data stewards.
- Data governance managers.
- Data quality analysts.
- Master data architects.
- Chief Data Officers building an operational governance function.
- Data management consultants.
- Engineering or science graduates looking to enter banking and insurance.
What you'll work with
- ISO 8000 (data quality)
- ISO/IEC 25012 (data quality model)
- DAMA-DMBOK 2 (data management body of knowledge)
- Regulation (EU) 2016/679 GDPR (personal data protection)
- Regulation (EU) 2023/2854 Data Act (access to and use of data)
- BCBS 239 (principles for risk data aggregation and reporting)
- ISO/IEC 38505 (governance of data)
- Collibra
- Informatica Data Quality
- Great Expectations
- Microsoft Purview
- dbt
8 modules
1.1Differences between data governance and data management1.2The DAMA-DMBOK reference framework1.3Roles: owner, custodian and data steward1.4The data governance council1.5Data policies and standards1.6Centralised or federated operating model1.7Data mesh and domain ownership1.8Business cases for governance1.9Data governance maturity1.10Case study: operating model for a transport company
2.1Types of metadata2.2Business glossary2.3Data dictionary2.4Data catalogue and discovery2.5Technical and business lineage2.6Classification of sensitive data2.7Automating metadata capture2.8Catalogue adoption2.9Usage indicators2.10Workshop: business glossary for a customer domain
3.1Accuracy, completeness and consistency3.2Timeliness and validity3.3Uniqueness and duplicates3.4The ISO 8000 standard3.5The ISO/IEC 25012 model3.6Business quality rules3.7Thresholds and tolerances3.8The cost of poor quality3.9Prioritising critical data3.10Practical exercise: quality rules for a product master
4.1Data profiling4.2Data quality tools4.3Validation in pipelines4.4Data observability4.5Alerts and thresholds4.6Quality dashboards4.7Data service level agreements4.8Data contracts4.9Anomaly detection4.10Laboratory: validations with Great Expectations
5.1The concept of master data5.2MDM implementation styles5.3Matching and deduplication5.4Survivorship rules5.5Hierarchies and relationships5.6Integration with ERP and CRM5.7Approval workflows5.8Quality at source5.9Reference data governance5.10Case study: consolidating a supplier master
6.1Root cause analysis6.2Correction at source versus at destination6.3Data incident management workflows6.4Improving data capture processes6.5User training6.6Continuous improvement cycle6.7Measuring impact6.8Communicating achievements6.9Sustaining improvements6.10Workshop: customer data remediation plan
7.1GDPR and data quality7.2The European Data Act7.3Retention and archiving7.4Classification and access control7.5Masking and anonymisation7.6Data governance audits7.7BCBS 239 regulatory reporting7.8Data governance for artificial intelligence7.9Data ethics7.10Practical exercise: classification and access matrix
8.1Selecting the data domain8.2Maturity assessment8.3Roles model8.4Catalogue and glossary8.5Quality rules8.6Designing continuous monitoring8.7Remediation plan8.8Roadmap8.9Report and presentation8.10Final project: final review with your 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 fits around your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Collibra, Informatica Data Quality, Great Expectations, Microsoft Purview and dbt, in free, academic or evaluation versions. Practical work is based on real procedures: profiling a customer master, implementing quality rules in a pipeline and assessing data governance maturity. Assessment is continuous by module plus the final project.
Standards covered: ISO 8000, ISO/IEC 25012, DAMA-DMBOK 2, Regulation (EU) 2016/679 GDPR, Regulation (EU) 2023/2854 Data Act, BCBS 239, ISO/IEC 38505.
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.
- An 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 Collibra, Informatica Data Quality, Great Expectations, Microsoft Purview and dbt, 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 suitable computer 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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