Postgraduate DiplomaAutomotive & Motorsport Applications open

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.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

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

  • Department of Transport
  • Motor Industry Ireland (MII)
  • Engineers Ireland
  • Motorsport Ireland

Typical roles

  • Automotive Engineer
  • Vehicle Dynamics Engineer
  • Powertrain Test Engineer
  • Motorsport Performance Engineer

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.

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Learning outcomes

What you will be able to do

01

Design an operating model for data governance.

02

Implement data catalogues and business glossaries.

03

Define data quality dimensions and rules.

04

Monitor quality in processes and pipelines.

05

Manage master data consistently.

06

Remediate quality issues at their root cause.

07

Align data governance with regulatory compliance.

Profile

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.
Standards & tools

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
Syllabus

8 modules

  1. 1.1Differences between data governance and data management
  2. 1.2The DAMA-DMBOK reference framework
  3. 1.3Roles: owner, custodian and data steward
  4. 1.4The data governance council
  5. 1.5Data policies and standards
  6. 1.6Centralised or federated operating model
  7. 1.7Data mesh and domain ownership
  8. 1.8Business cases for governance
  9. 1.9Data governance maturity
  10. 1.10Case study: operating model for a transport company
  1. 2.1Types of metadata
  2. 2.2Business glossary
  3. 2.3Data dictionary
  4. 2.4Data catalogue and discovery
  5. 2.5Technical and business lineage
  6. 2.6Classification of sensitive data
  7. 2.7Automating metadata capture
  8. 2.8Catalogue adoption
  9. 2.9Usage indicators
  10. 2.10Workshop: business glossary for a customer domain
  1. 3.1Accuracy, completeness and consistency
  2. 3.2Timeliness and validity
  3. 3.3Uniqueness and duplicates
  4. 3.4The ISO 8000 standard
  5. 3.5The ISO/IEC 25012 model
  6. 3.6Business quality rules
  7. 3.7Thresholds and tolerances
  8. 3.8The cost of poor quality
  9. 3.9Prioritising critical data
  10. 3.10Practical exercise: quality rules for a product master
  1. 4.1Data profiling
  2. 4.2Data quality tools
  3. 4.3Validation in pipelines
  4. 4.4Data observability
  5. 4.5Alerts and thresholds
  6. 4.6Quality dashboards
  7. 4.7Data service level agreements
  8. 4.8Data contracts
  9. 4.9Anomaly detection
  10. 4.10Laboratory: validations with Great Expectations
  1. 5.1The concept of master data
  2. 5.2MDM implementation styles
  3. 5.3Matching and deduplication
  4. 5.4Survivorship rules
  5. 5.5Hierarchies and relationships
  6. 5.6Integration with ERP and CRM
  7. 5.7Approval workflows
  8. 5.8Quality at source
  9. 5.9Reference data governance
  10. 5.10Case study: consolidating a supplier master
  1. 6.1Root cause analysis
  2. 6.2Correction at source versus at destination
  3. 6.3Data incident management workflows
  4. 6.4Improving data capture processes
  5. 6.5User training
  6. 6.6Continuous improvement cycle
  7. 6.7Measuring impact
  8. 6.8Communicating achievements
  9. 6.9Sustaining improvements
  10. 6.10Workshop: customer data remediation plan
  1. 7.1GDPR and data quality
  2. 7.2The European Data Act
  3. 7.3Retention and archiving
  4. 7.4Classification and access control
  5. 7.5Masking and anonymisation
  6. 7.6Data governance audits
  7. 7.7BCBS 239 regulatory reporting
  8. 7.8Data governance for artificial intelligence
  9. 7.9Data ethics
  10. 7.10Practical exercise: classification and access matrix
  1. 8.1Selecting the data domain
  2. 8.2Maturity assessment
  3. 8.3Roles model
  4. 8.4Catalogue and glossary
  5. 8.5Quality rules
  6. 8.6Designing continuous monitoring
  7. 8.7Remediation plan
  8. 8.8Roadmap
  9. 8.9Report and presentation
  10. 8.10Final project: final review with your tutor
Methodology, software & labs

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.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 8000, ISO/IEC 25012, DAMA-DMBOK 2 and BCBS 239 applied to real cases, not as a theoretical annex.
Industry software:Collibra, Informatica Data Quality, Great Expectations, Microsoft Purview and dbt, in free, academic or evaluation versions.
Final project:an operational data governance project for a data domain, with maturity assessment, roles, catalogue, quality rules, monitoring and remediation plan, reviewed by your tutor.
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.

Maturity assessment
Assess the data governance maturity of the selected domain.
Roles and glossary
Define the roles model and build the domain's business glossary and catalogue.
Quality rules
Define and implement data quality rules in a pipeline.
Monitoring and remediation
Design continuous monitoring and a remediation plan for the critical data.
Final project
A complete operational data governance project with roadmap, reviewed by your tutor.
Career opportunities

Where this takes you

Data StewardData Governance ManagerData Quality AnalystMaster Data ArchitectChief Data OfficerData Management Consultant
Admissions & scholarships

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.

FAQ

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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