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  1. Programs
  3. Artificial Intelligence

Artificial Intelligence

Murray State University

CertificateCIP: 11.0102

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

No description available.

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Program Pathways

Credentials this program stacks toward

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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

  • Murray, Kentucky

    218 Wells Hall, Murray, Kentucky, 42071-3318

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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 LearningActive ListeningWritingSpeakingJudgment and Decision MakingComplex Problem SolvingMathematicsProgrammingSystems AnalysisSystems EvaluationInstructingLearning StrategiesMonitoring

Knowledge

Computers and ElectronicsEnglish LanguageMathematicsCustomer and Personal ServiceAdministration and ManagementEngineering and TechnologyEducation and TrainingMedicine and Dentistry

Abilities

Oral ComprehensionOral ExpressionWritten ComprehensionWritten ExpressionDeductive ReasoningInductive ReasoningInformation OrderingProblem SensitivityNear VisionCategory FlexibilitySpeech ClaritySpeech RecognitionMathematical ReasoningFluency of Ideas

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
  • Design and validate clinical databases, including designing or testing logic checks.
  • Process clinical data, including receipt, entry, verification, or filing of information.
  • Generate data queries, based on validation checks or errors and omissions identified during data ent
  • Generate standard or custom reports summarizing business, financial, or economic data for review by
  • Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
  • Manage timely flow of business intelligence information to users.
  • Troubleshoot program and system malfunctions to restore normal functioning.
  • Provide staff and users with assistance solving computer-related problems, such as malfunctions and
  • Test, maintain, and monitor computer programs and systems, including coordinating the installation o
  • Analyze user needs and software requirements to determine feasibility of design within time and cost
  • Develop or direct software system testing or validation procedures, programming, or documentation.
  • Confer with systems analysts, engineers, programmers and others to design systems and to obtain info
  • Analyze problems to develop solutions involving computer hardware and software.
  • Apply theoretical expertise and innovation to create or apply new technology, such as adapting princ
  • Assign or schedule tasks to meet work priorities and goals.

Technology

Data base user interface and query softwareObject or component oriented development softwareDevelopment environment softwareWeb page creation and editing softwareGraphics or photo imaging softwareDocument management softwareVideo creation and editing softwareComputer based training softwareMedical softwareCategorization or classification softwareAccess softwareData base reporting softwareBusiness intelligence and data analysis softwareStorage networking softwareCloud-based management softwareProcedure management softwareWord processing softwareAnalytical or scientific softwareData base management system 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 whiteboardsHandheld computersLaptop computersSmartphonesComputer serversData warehouse appliancesLaser facsimile machinesPhotocopiersScannersStorage serversApplication serversDigital camerasDirectory serversFlash disksGraphics processing unit GPUIn circuit emulators ICE

Work Values

AchievementIndependenceWorking ConditionsRecognitionRelationshipsSupport
Career Pathways

Occupations this program prepares you for

  • Computer Science Teachers, Postsecondary25-1021.00
  • Clinical Data Managers15-2051.02
  • Business Intelligence Analysts15-2051.01
  • Data Scientists15-2051.00
  • Software Developers15-1252.00
  • Computer and Information Research Scientists15-1221.00
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: developing (Level 2)(based on Certificate)

  • Course syllabi, assignment sequences, and handouts — independently design and revise for undergraduate and introductory graduate computer science courses aligned with learning outcomes.
  • Lectures on intermediate topics such as algorithms, software engineering, and database systems — prepare and deliver with minimal oversight to undergraduate cohorts in a university setting.
  • Student class work, laboratory submissions, and written papers — evaluate using self-developed rubrics that reflect current disciplinary standards in computer science.
  • Examinations covering multiple course modules — compile, administer, and grade independently, ensuring alignment with stated course objectives and institutional academic integrity policies.
  • Grade books, attendance logs, and required departmental records — maintain consistently and submit on schedule through institutional administrative systems.
  • Professional conferences and peer-reviewed journals — engage with regularly to incorporate emerging computing technologies and pedagogical methods into course delivery.
  • Office hours and advising appointments — conduct on a scheduled basis, offering substantive guidance on academic progress and project development to undergraduate students.
  • Computer-based training software and development environment tools — integrate into laboratory instruction to provide students with authentic coding and debugging experiences.
  • Instructional methods and course pacing — adapt in response to formative assessment data and observed student performance trends across a semester.
  • Collaborative course planning discussions — contribute constructively with departmental colleagues to align course sequencing and prerequisite structures within the CS curriculum.

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

Auto-populated·from Scorecard + DOL
Completion Rate
60%
Placement Rate
15%