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Postgraduate Certification Program in Data Governance

Lead the future of trusted data. As AI, cloud and compliance reshape every industry, organisations urgently need professionals who keep data trusted, traceable and secure.

Live + LMS delivery80+ hours3 days a week or weekendsCapstone readySolidatus and Microsoft Purview
500+Hiring companies
60%Average salary hike
167.4 LPAHighest salary
1:1Career coaching

Outcomes

What you will learn

Governance is the foundation of responsible innovation — build the skills to make enterprise data accurate, auditable and AI-ready.

Design governance frameworks, operating models, councils and stewardship structures
Build business glossaries, data dictionaries and enterprise metadata assets
Map data lineage end to end and run impact analysis across pipelines
Define Critical Data Elements and map them to authoritative sources
Apply data quality rules and classify sensitive data for GDPR, HIPAA and DORA
Get hands-on with Solidatus and Microsoft Purview — tools trusted by Fortune 500s

Career Outcomes

Roles this program prepares you for

Build a profile that maps to the roles hiring teams are actively recruiting for.

Data Governance AnalystData StewardData Quality AnalystMetadata AnalystData Governance ManagerInformation Governance SpecialistData Privacy and Compliance OfficerMDM ConsultantLineage and Cataloging SpecialistData Governance LeadLineage ArchitectCDO Advisor

Curriculum

10 modules, from fundamentals to mastery

Every module blends live teaching, practice and feedback — open each one to see exactly what you will cover.

01

Introduction to Data Governance

Understand the purpose and principles of data governance, its business value, and why it is foundational to modern, data-driven enterprises.

  • Understand governance principles and business value
  • Identify governance roles and responsibilities

Topics Covered

Data GovernanceBusiness ValueRoles and ResponsibilitiesAccountabilityTrust in DataGovernance vs ManagementStrategic DriversOrganizational Alignment
02

Governance Frameworks and Roles

Explore governance frameworks, operating models and role structures to build scalable, cross-functional data governance programs.

  • Design governance operating models and frameworks
  • Establish escalation paths and stewardship hierarchy

Topics Covered

Operating ModelsGovernance CouncilsEscalation PathsPolicy StructureRACI MatrixRole DefinitionGovernance CharterStewardship Models
03

Metadata and Data Glossary

Develop enterprise glossaries and metadata assets that improve data understanding, accessibility and business alignment.

  • Create business glossaries and data dictionaries
  • Link metadata to systems and reports

Topics Covered

Business GlossaryData DictionaryTechnical MetadataBusiness MetadataControlled VocabularyAttribute MappingSystem TagsContextual Clarity
04

Data Lineage and Impact Analysis

Visualize how data moves and transforms across systems, and use impact analysis to drive better change management.

  • Create and interpret lineage maps
  • Conduct impact analysis across data pipelines

Topics Covered

Upstream LineageDownstream LineageSource to ReportData PipelinesTransformation LogicAudit TrailsImpact AssessmentVisualization Tools
05

CDEs and Authoritative Sources

Identify high-value data elements and map them to their most reliable, trusted sources for consistent reporting and compliance.

  • Define and document Critical Data Elements
  • Assign Authoritative Data Sources

Topics Covered

CDE IdentificationADS MappingKPI AlignmentReporting TrustBusiness RelevanceSource AccuracyOwnership MappingField-Level Granularity
06

Data Quality and Classification

Apply rules and frameworks to monitor data quality, and classify data based on security and compliance requirements.

  • Define and apply data quality rules
  • Classify sensitive data for protection

Topics Covered

Completeness RulesAccuracy ChecksValidity StandardsTimeliness MetricsSensitivity LabelsData MaskingClassification MatrixRegulatory Tags
07

Data Sharing Agreements and Compliance

Draft and manage compliant Data Sharing Agreements that define how, why and with whom data is shared.

  • Create DSAs with legal and governance components
  • Align data sharing with GDPR, HIPAA and DORA

Topics Covered

Data Sharing TermsDSA TemplatesConsent ManagementUsage PoliciesAccess ControlExternal SharingLegal ClausesRegulatory Alignment
08

Tool Clinics — Solidatus, Purview and More

Hands-on experience with industry-leading governance tools: create lineage, map metadata and manage governance assets at enterprise scale.

  • Use Solidatus for lineage and metadata modelling
  • Operate Microsoft Purview for cataloging and scanning

Topics Covered

Tool SetupLineage ModellingMetadata ScanData CatalogingSystem IntegrationVisualizationAsset TrackingTool Comparison
09

Capstone Project

Apply end-to-end governance practice to a real-world retail sales dataset — build the glossary, dictionary, CDEs, lineage, DSA and quality rules, then present your strategy.

  • Solve a governance use case using real frameworks
  • Present lineage, CDEs and DSAs with full documentation

Capstone Journey

Dataset ScopingCDE DocumentationLineage MappingDSA DraftingSecurity TagsQuality RulesFinal PresentationStakeholder Review
10

Career Support and Mentoring

Get career-ready with expert guidance on resumes, interviews and building your data governance personal brand.

  • Build a job-ready resume and LinkedIn profile
  • Practice for interviews in governance roles

Topics Covered

Resume WritingLinkedIn BrandingMock InterviewsRole ExplorationSkill MappingPersonal PitchIndustry InsightsJob Strategy

Portfolio

Hands-on projects you will build

Real datasets, real business questions — every project becomes part of your professional portfolio.

Build a Business Glossary

Define key terms like Net Sales, Gross Sales, Discount and Region — aligned with the analytics team’s reporting logic.

Create a Data Dictionary

Document technical metadata for fields from Excel, SQL and API sources: name, datatype, description, format, origin.

Identify Critical Data Elements

Flag fields like Transaction Date, Customer ID and Invoice Amount as CDEs and justify their risk and compliance value.

Apply Security Classification

Tag Customer ID, Email and Region as Confidential or PII, with access-control recommendations.

Map Authoritative Data Sources

Determine the trusted source for each field and surface discrepancies between Excel and SQL versions.

Visualize Data Lineage

Map how sales data flows from store-level sheets into the SQL warehouse and on to Power BI dashboards.

Draft a Data Sharing Agreement

Simulate a DSA for sharing sales data with marketing and external suppliers — purpose, fields, retention, controls.

Evaluate Data Quality

Create quality rules, catch nulls and invalid amounts, and propose remediation for common issues.

Career Services

Support that goes beyond the classroom

A dedicated career advisor works with you from first class to final interview.

1:1 Career Mentoring

Personalised guidance on your goals, gaps and the fastest path to your target role.

Resume and Profile Building

A resume that works, plus LinkedIn and GitHub profiles that reflect your skills credibly.

Mock Interviews

Practice real interview scenarios with expert feedback until you walk in confident.

Job Opportunity Access

Curated openings aligned to your skill set, with guidance on positioning your profile.

Eligibility

Who is this program for?

Fresh Graduates and Postgraduates

Individuals with at least 50% marks in graduation, seeking a strong launchpad into the data industry.

Working Professionals (0–8 Years)

Early- to mid-career professionals looking for a career transition, skill upgrade or salary growth in data-driven roles.

Evaluation

How you are evaluated

Assessment is continuous and practical — you always know where you stand and what to improve next.

01

Module Quizzes

Every module ends with a 10-question quiz. Score 70% to pass, with unlimited retakes and explanations for every answer.

02

Hands-on Assignments

Practical labs after each module, reviewed with mentor feedback so skills stick beyond theory.

03

Capstone Evaluation

Your capstone is evaluated by faculty on approach, execution and a stakeholder-style final presentation.

04

Final Assessment

A comprehensive overall quiz spanning all modules — 50 questions, 70% to pass — confirms you are certification-ready.

Certificate criteria: complete all modules and assignments, pass every module quiz, clear the final assessment, and present your capstone project.

Try It

Sample quiz — test your instincts

A taste of the module quizzes inside the program. Click an answer to check yourself — instant feedback, no signup needed.

Q1. A business glossary primarily provides…

SQL code snippets
Agreed definitions of business terms
Server configurations
Dashboard templates

A glossary aligns the whole organisation on what terms like Net Sales actually mean — the foundation of trust in data.

Q2. Data lineage shows…

Who owns each server
How data moves and transforms across systems
Data quality scores only
Table storage sizes

Lineage maps the journey from source to report, enabling impact analysis and audit readiness.

Q3. A Critical Data Element (CDE) is…

Any database column
A data element critical to reporting, risk or compliance
An encrypted field
A primary key

CDEs like Customer ID or Invoice Amount get priority governance because errors in them carry real business risk.

Q4. Which tool is used for metadata scanning and data cataloging?

Microsoft Purview
Photoshop
Jenkins
Excel

Purview scans sources, builds the catalog and maps classification — a core governance platform in this program.

Q5. A Data Sharing Agreement (DSA) defines…

Server access passwords
How, why and with whom data is shared
Code review rules
Backup schedules

DSAs make sharing lawful and controlled: purpose, fields, retention and security expectations, agreed in writing.

🎓

Certification

Postgraduate Certificate in Data Governance

An industry-recognised credential from Skill Expresso Edu Solutions that enhances your professional profile and accelerates your career growth.

Admissions

A simple, guided admission process

Submit Application

Complete the online application form with your basic details and background.

Profile Review

Our admissions team evaluates your academic and professional suitability.

Counselling Call

A one-on-one discussion to clarify goals, learning path and expectations.

Confirmation

Receive your confirmation of selection and payment instructions.

Enrolment

Complete payment, receive LMS access and begin your learning journey.

Ready to move your career forward?

Talk to a counsellor, get your questions answered, and find out if this program is the right fit — no pressure, no obligation.

Apply Now ↗Book Free Counselling
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