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  1. Programs
  3. Business Intelligence

Business Intelligence

University of North Florida

Bachelor's DegreeCIP: 52.1201

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

Combines business and data analytics to prepare students to gather, analyze, and interpret data for organizational decision-making.

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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

  • Jacksonville, Florida

    1 UNF Drive, Jacksonville, Florida, 32224-7699

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 25-1021.00

Skills

Reading ComprehensionCritical ThinkingActive ListeningSpeakingJudgment and Decision MakingProgrammingComplex Problem SolvingSystems AnalysisWritingInstructingActive LearningLearning StrategiesQuality Control AnalysisMonitoringCoordination

Knowledge

Computers and ElectronicsEnglish LanguageMathematicsCustomer and Personal ServiceEngineering and TechnologyDesignEducation and TrainingAdministration and Management

Abilities

Oral ComprehensionOral ExpressionWritten ComprehensionDeductive ReasoningInductive ReasoningInformation OrderingNear VisionWritten ExpressionProblem SensitivitySpeech ClaritySpeech RecognitionCategory Flexibility

Tasks

  • Prepare course materials, such as syllabi, homework assignments, and handouts.
  • Compile, administer, and grade examinations or assign this work to others.
  • Prepare and deliver lectures to undergraduate or graduate students on topics such as programming, da
  • Write, analyze, review, and rewrite programs, using workflow chart and diagram, and applying knowled
  • Correct errors by making appropriate changes and rechecking the program to ensure that the desired r
  • Perform or direct revision, repair, or expansion of existing programs to increase operating efficien
  • 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.
  • Develop and document database architectures.
  • Collaborate with system architects, software architects, design analysts, and others to understand b
  • Develop database architectural strategies at the modeling, design and implementation stages to addre
  • Direct daily operations of department, analyzing workflow, establishing priorities, developing stand
  • Meet with department heads, managers, supervisors, vendors, and others, to solicit cooperation and r
  • Review project plans to plan and coordinate project activity.

Technology

Development environment softwareObject or component oriented development softwareWeb page creation and editing softwareData base user interface and query softwareWeb platform development softwareData base management system softwareGraphics or photo imaging softwareVideo creation and editing softwareComputer based training softwareDocument management softwareMetadata management softwareWord processing softwareEnterprise resource planning ERP softwareAccess softwareBackup or archival softwareCustomer relationship management CRM softwareDesktop publishing software

Tools

Carousel slide projectorsCompact digital camerasCompact disk CD playersComputer data input scannersComputer laser printersComputer projectorsConference telephonesDesktop computersDigital calculatorsDigital video disk DVD playersDigital video editorsHandheld microphonesHandheld videocamerasInteractive whiteboard controllersInteractive whiteboardsComputer serversMainframe computersMainframe operating systemsSerial port cardsData warehouse appliancesLaptop computersMulti-line telephone systemsPersonal computersStorage serversCopy machinesHard disk drivesLaser facsimile machinesLoad balancersNotebook computersRedundant array of independent disks RAID systems

Work Values

AchievementIndependenceWorking ConditionsRecognitionRelationshipsSupport
Career Pathways

Occupations this program prepares you for

  • Computer Science Teachers, Postsecondary25-1021.00
  • Computer Programmers15-1251.00
  • Data Warehousing Specialists15-1243.01
  • Database Architects15-1243.00
  • Computer and Information Systems Managers11-3021.00
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: proficient (Level 3)(based on Bachelor's Degree)

  • Comprehensive course materials including syllabi, project scaffolding, and assessment instruments — autonomously design and continuously refine for both undergraduate and graduate computer science programs.
  • Advanced lectures on specialized topics such as machine learning, systems architecture, or distributed computing — prepare and deliver with pedagogical sophistication to mixed undergraduate and graduate audiences.
  • Complex student work including research papers, capstone projects, and graduate theses — evaluate rigorously and provide substantive developmental feedback aligned with professional and scholarly standards.
  • Full examination cycles — independently compile, administer, statistically analyze, and use results to inform iterative improvements to course design in a postsecondary CS department.
  • Multiyear student academic records and longitudinal grade data — manage with precision, using institutional data systems to identify patterns and support student success interventions.
  • Curricula and course content across multiple CS courses — systematically evaluate and revise using evidence-based instructional strategies and alignment with accreditation standards such as ABET.
  • Structured advisement and mentorship — provide to undergraduate and graduate students navigating research pathways, internship opportunities, and career trajectories in computing fields.
  • Applied computing tools including object-oriented development environments, database interfaces, and video creation software — integrate purposefully into course delivery to model professional practice.
  • Non-routine pedagogical challenges such as diverse learner needs or rapidly evolving technology topics — diagnose and resolve using adaptive instructional strategies in a live university classroom.
  • Contributions to departmental scholarship — sustain through active participation in peer-reviewed publication, grant development, or applied research projects relevant to computer science education.

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