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  1. Programs
  3. Data Management

Data Management

University of Nebraska at Omaha

Post-Baccalaureate CertificateAcademic

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

Data management focuses on the processes and techniques to manage data as a valuable organizational and societal asset throughout the data lifecycle. The certificate will give students theoretical and practical training in database design and development, database administration, data integration, data engineering, and data governance. Students will be exposed to a variety of data types and different kind of databases such as relational database, data warehouse, and NoSQL and big data databases.

Credits

15 credits

Format

In-Person

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Program Pathways

Credentials this program stacks toward

No program pathways.

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Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.

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Locations

Where this program is offered

  • Nebraska

    Nebraska

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Related Programs

Programs related to this one

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Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 15-1243.01

Skills

Reading ComprehensionCritical ThinkingProgrammingComplex Problem SolvingSystems AnalysisActive ListeningJudgment and Decision MakingSpeaking

Knowledge

Computers and ElectronicsMathematicsEnglish LanguageDesign

Abilities

Written ComprehensionInformation OrderingOral ComprehensionDeductive ReasoningInductive ReasoningNear VisionOral ExpressionWritten ExpressionCategory FlexibilitySpeech Recognition

Tasks

  • Develop data warehouse process models, including sourcing, loading, transformation, and extraction.
  • Verify the structure, accuracy, or quality of warehouse data.
  • Map data between source systems, data warehouses, and data marts.

Technology

Metadata management softwareDevelopment environment softwareObject or component oriented development softwareData base management system softwareData base user interface and query software

Tools

Computer serversData warehouse appliancesDesktop computersLaptop computersMainframe computersMulti-line telephone systemsPersonal computersStorage servers

Work Values

AchievementWorking ConditionsIndependenceRecognitionSupportRelationships
Career Pathways

Occupations this program prepares you for

Auto-populated·from O*NET + BLS
Occupations matched to this program, with median wage, top wage, growth, and openings
SOCOccupationMethodWageGrowthOpenings
Match confidence: medium15-1243.01Data Warehousing Specialiststitle_inference———
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: proficient (Level 3)(based on Post-Baccalaureate Certificate)

  • Data warehouse process models — architect comprehensive end-to-end process models spanning sourcing, transformation, loading, and extraction layers across complex, multi-domain enterprise environments.
  • Data quality assurance — design and execute advanced validation frameworks that detect structural defects, referential integrity failures, and semantic inconsistencies across the full warehouse scope.
  • Cross-system data mapping — lead the creation of authoritative mapping specifications integrating heterogeneous source systems, enterprise data warehouses, and subject-area data marts.
  • Extraction procedure engineering — engineer robust, high-performance data extraction solutions from diverse operational systems, incorporating error handling and incremental load strategies.
  • Warehouse database architecture — design scalable star and snowflake schemas, partitioning strategies, and indexing plans optimized for analytical query performance in large-scale environments.
  • Standards governance — develop and enforce enterprise-wide data warehouse design standards covering architectures, models, tooling selection, and database nomenclature.
  • Troubleshooting leadership — independently diagnose and resolve complex, non-routine data warehouse incidents including performance degradation, data corruption, and pipeline failures.
  • Advanced programming — write, optimize, and refactor complex ETL programs and stored procedures using current languages and technologies to meet evolving customer and system requirements.
  • Systems evaluation — assess warehouse platform performance, scalability, and fitness-for-purpose against business objectives, recommending architectural improvements based on evidence.
  • Critical problem solving — apply deductive and inductive reasoning to resolve ambiguous data integration challenges that span multiple business domains and technology stacks.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Completion Rate
Not reported
Placement Rate
Not reported