المنصة العربية للدراسات المهنيةArab Platform for Professional Studies
العربية
Professional Mini-Master Data, AI, Digital, IT & Cybersecurity Data Governance and Quality

Professional Mini-Master in Enterprise Data Strategy and Governance

Professional Mini-Master in Enterprise Data Strategy and Governance is a free program on ARPS, the Arab Platform for Professional Studies. Develop professional judgment for a measurable enterprise data strategy and governance that operates in practice. The program connects data strategy to enterprise outcomes, decision rights, quality, metadata, access, operating model and value measurement.

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Estimated time
23 hours
subjects
5
lessons
15
Study language
Arabic and English

Optional certificate fee 50% launch discount

$120 instead of $240

441 AED or 450 SAR

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Program facts

Study fee
Free
subjects
5
lessons
15
Estimated time
23 hours
Content last reviewed
Access period
60 days
Study language
Arabic and English

About the program

The program connects data strategy to enterprise outcomes, decision rights, quality, metadata, access, operating model and value measurement. Across five advanced modules, you analyze fictional cases and produce decision maps, data-product contracts, quality cards, testable policies and a roadmap. More data or tooling is not assumed to be the answer; evidence must justify scaling, correction or stopping.

Practical relevance

The fictional cases contain sufficient data for every exercise. When transferring the method to work, use authorized de-identified information and check applicable local constraints.

Why this program

Data initiatives fail when governance becomes committees without authority, quality becomes a score without purpose, or a platform is purchased before definitions and accountability are addressed. The program connects strategic and operating trade-offs in one reviewable path.

Career relevance

Relevant to data, transformation, risk, operations and product leaders. It develops judgment and cross-functional communication without promising employment, promotion or regulated authority.

What you will learn

  • Formulate a data thesis that links an enterprise outcome to a decision, measure and falsifiable hypothesis.
  • Distinguish evaluation, direction and monitoring from planning and execution, assigning authority and escalation.
  • Define quality dimensions and thresholds by decision use, addressing root causes rather than repeated cleansing.
  • Choose capability distribution based on domain diversity, consistency needs, skills and coordination cost.
  • Build an evidence-based capability assessment and separate maturity from business outcomes.
Learning outcomes (5)
  1. Formulate a data thesis that links an enterprise outcome to a decision, measure and falsifiable hypothesis.
  2. Distinguish evaluation, direction and monitoring from planning and execution, assigning authority and escalation.
  3. Define quality dimensions and thresholds by decision use, addressing root causes rather than repeated cleansing.
  4. Choose capability distribution based on domain diversity, consistency needs, skills and coordination cost.
  5. Build an evidence-based capability assessment and separate maturity from business outcomes.

Who it is for

  • Data, transformation, risk, operations and product leaders with relevant foundational experience
  • Data governance leads, data stewards and data product managers who design operating models and policies.
  • Executives and data council members who make data investment decisions and need to link them to enterprise outcomes.
  • Digital transformation, risk and operations leaders with foundational data experience.

Prerequisites

  • Foundational experience with a data-dependent process, project or product
  • Ability to interpret performance, risk and trade-offs
  • Ability to read performance indicators and simple dashboards and to tell a measure from a target.
  • Comfort analysing written enterprise cases, comparing alternatives and writing a justified decision.
  • Willingness to set aside regular time for learning and the integrated assessment within the 60-day access window.

Curriculum

  1. Subject 1 Open for free

    Data Strategy, Value and the Data Portfolio

    The module integrates Data Strategy, Value and the Data Portfolio decisions into reviewable outputs.

    3 lessons · 4.5 hours

    1. Translate enterprise outcomes into data theses 1.5 hours
    2. Evaluate a portfolio of data domains and products 1.5 hours
    3. Build the investment case and stage funding 1.5 hours
  2. Subject 2

    Decision Rights, Accountability and Data Products

    The module integrates Decision Rights, Accountability and Data Products decisions into reviewable outputs.

    3 lessons · 4 hours

    1. Separate governance from management and assign decision rights 1.5 hours
    2. Design data ownership, stewardship and accountability 1.5 hours
    3. Manage data products and contracts across the lifecycle 1.5 hours
  3. Subject 3

    Quality, Metadata and Responsible Access

    The module integrates Quality, Metadata and Responsible Access decisions into reviewable outputs.

    3 lessons · 4 hours

    1. Design fitness-for-use quality and defect economics 1.5 hours
    2. Operationalize metadata, lineage and business terms 1.5 hours
    3. Govern access, sharing and retention by purpose 1.5 hours
  4. Subject 4

    Operating Model, Policy and Roadmap

    The module integrates Operating Model, Policy and Roadmap decisions into reviewable outputs.

    3 lessons · 4 hours

    1. Choose a centralized or federated operating model 1.5 hours
    2. Turn principles into testable policies and controls 1.5 hours
    3. Build a capability roadmap and behavioral change 1.5 hours
  5. Subject 5

    Measurement, Value and Enterprise Resilience

    The module integrates Measurement, Value and Enterprise Resilience decisions into reviewable outputs.

    3 lessons · 4 hours

    1. Measure maturity and performance without cosmetic scores 1.5 hours
    2. Demonstrate value and manage benefits and risk 1.5 hours
    3. Lead an integrated data-council case 1.5 hours

Subjects unlock in sequence as you progress.

Strengths

  • Enterprise decisions connecting strategy and operations
  • At least two worked applications and two exercises in every module
  • Integrated final and module transcript across five modules

Evidence basis

Concepts use scoped official pages from ISO, EDM Association, DAMA, NIST, OECD and ISACA. Reviewing a public description is not equivalent to reading a complete paid standard or obtaining publisher accreditation.

Reference organizations

  • ISO
  • EDM Association
  • DAMA International
  • NIST
  • OECD
  • ISACA

Frameworks used

  • DCAM — v3 public overview
  • NIST Privacy Framework — 1.0
Methodology

Concepts use scoped official pages from ISO, EDM Association, DAMA, NIST, OECD and ISACA. Reviewing a public description is not equivalent to reading a complete paid standard or obtaining publisher accreditation.

Program questions

Do I need programming?

No. You need basic familiarity with data, processes and measures; decisions focus on purpose, accountability, quality and value.

How do the modules connect?

They progress from strategy and portfolio to rights and products, then quality, metadata and access, operating model and roadmap, and finally measurement and an integrated case.

What will I produce?

Decision maps, quality cards, product contracts, access records, a testable policy and a gated roadmap.

How does the final work?

It samples twenty automatically graded case questions, four from each module, and does not include a human-scored essay project.

Is the credential externally accredited?

No. It is an optional internal completion credential, not a university degree or DAMA, DCAM or ISO certification. It includes a transcript of module-question results from the same qualifying final attempt, without a separate module pass decision.

Can I use workplace data?

Use fictional or authorized de-identified information. No task requires sending secrets or personal data to an external service.

Is Professional Mini-Master in Enterprise Data Strategy and Governance free, and do I get a certificate?

Yes. Professional Mini-Master in Enterprise Data Strategy and Governance is free on ARPS: every lesson, exercise and assessment is free, the first subject is open to read without an account, and the program is available in Arabic and English. Issuing a certificate is optional; it is a training completion certificate showing you passed the program's assessments, not a university degree, a professional licence or an endorsement by an external body.

What other names is Professional Mini-Master in Enterprise Data Strategy and Governance known by?

The subject of this program is also known as: data governance, enterprise data strategy, data management strategy. Learners usually find it by searching for: data governance course, learn enterprise data strategy, free data management program, building a data governance framework, online program with completion certificate.

Certificate

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Verification example: a real issued certificate

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