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  1. Programs
  3. Artificial Intelligence in Marketing

Artificial Intelligence in Marketing

University of Wisconsin-Whitewater

CertificateAcademic

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

No description available.

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

  • Wisconsin

    Wisconsin

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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 15-2051.00

Skills

Critical ThinkingReading ComprehensionActive ListeningSpeakingActive LearningComplex Problem SolvingJudgment and Decision MakingWritingSocial PerceptivenessMonitoringPersuasion

Knowledge

English LanguageCustomer and Personal ServiceComputers and ElectronicsMathematicsEngineering and TechnologySales and MarketingAdministration and ManagementCommunications and Media

Abilities

Oral ComprehensionWritten ComprehensionOral ExpressionWritten ExpressionDeductive ReasoningFluency of IdeasInductive ReasoningSpeech ClarityOriginalityProblem Sensitivity

Tasks

  • 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
  • Identify, develop, or evaluate marketing strategy, based on knowledge of establishment objectives, m
  • Formulate, direct, or coordinate marketing activities or policies to promote products or services, w
  • Evaluate the financial aspects of product development, such as budgets, expenditures, research and d

Technology

Business intelligence and data analysis softwareData base user interface and query softwareStorage networking softwareCloud-based management softwareProcedure management softwareDocument management softwareDevelopment environment softwareVideo creation and editing softwareGraphics or photo imaging softwareWeb page creation and editing software

Tools

Desktop computersLaser facsimile machinesNotebook computersPersonal computersPersonal digital assistants PDAPhotocopiersScannersTablet computers

Work Values

Working ConditionsAchievementRelationshipsIndependenceRecognitionSupport
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: high15-2051.00Data Scientiststitle_inference$112,590 median$194,410 top+33.51%8,250
Match confidence: medium11-2021.00Marketing Managerstitle_inference$161,030 median+6.56%2,670
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

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

  • Recurring data pipeline malfunctions — diagnose and resolve with reduced oversight by applying systematic debugging techniques in production environments.
  • Business problems involving integrated data sources — analyze independently using business intelligence software to develop actionable solution recommendations.
  • Computer programs and automated workflows — test, maintain, and monitor on a scheduled basis, adapting procedures when standard approaches prove insufficient.
  • Staff and end-user data-related inquiries — address by providing clear, accurate assistance on database tools and analytical software in a service-oriented setting.
  • Moderately complex datasets from multiple systems — join, transform, and model using SQL and scripted environments to support departmental decision-making.
  • Project timelines and analytical deliverables — manage using project management software, coordinating tasks with cross-functional stakeholders independently.
  • Analytical findings and methodology — document in written technical reports that meet organizational standards for clarity and reproducibility.
  • Statistical and machine learning models — build and validate in familiar problem contexts, adjusting hyperparameters based on performance metrics.
  • Data storage and cloud infrastructure configurations — maintain and troubleshoot using storage networking and cloud-based management software with limited supervision.
  • Emerging tools and analytical techniques — evaluate through active learning and apply selectively to improve existing workflows within established team practices.

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