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  1. Programs
  3. Robotics

Robotics

University of Utah

Doctoral DegreeAcademic

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

The Robotics PhD program will allow students to build upon qualified undergraduate or master's degrees and is designed for students pursuing engineering and science degrees. The Robotic PhD degree will provide knowledge for integrating hardware and software with algorithms to create the next generation of intelligent machines. Robotics researchers are employed in a wide range of occupations that are creating the next generation of technological devices.

Credits

47 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

  • Utah

    Utah

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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 17-2199.08

Skills

Critical ThinkingMonitoringComplex Problem SolvingReading ComprehensionActive ListeningJudgment and Decision MakingSystems AnalysisWriting

Knowledge

Engineering and TechnologyDesignComputers and ElectronicsMechanicalMathematics

Abilities

Problem SensitivityOral ComprehensionWritten ComprehensionDeductive ReasoningInductive ReasoningInformation OrderingOral ExpressionWritten ExpressionFluency of IdeasOriginality

Tasks

  • Review or approve designs, calculations, or cost estimates.
  • Process or interpret signals or sensor data.
  • Debug robotics programs.

Technology

Data base user interface and query softwareContent workflow softwareComputer aided design CAD softwareIndustrial control softwareDevelopment environment software

Tools

Bar code readersDesktop computersDigital video camerasFunction generatorsLaptop computersLaser scannersMultimetersOscilloscopesProgrammable logic controllers PLCSignal conditionersSonar ringsTorque metersVision systemsWelding gun torches

Work Values

Working ConditionsIndependenceAchievementRecognitionSupportRelationships
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: medium17-2199.08Robotics Engineerstitle_inference———
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: advanced (Level 4)(based on Doctoral Degree)

  • Organizational robotics strategy and technology roadmap — define and champion, aligning autonomous systems development priorities with enterprise-level business objectives and long-range investment plans.
  • Robotic system design frameworks and review processes — establish and institutionalize, setting engineering standards for calculations, cost estimation, and approval workflows across multiple project teams.
  • Emerging sensing, telematics, and autonomous platform architectures — evaluate and direct adoption of, translating novel research into scalable robotic product lines at organizational scale.
  • Cross-functional engineering teams — lead and develop, mentoring robotics engineers at all levels while coordinating deliverables across mechanical, software, and controls disciplines.
  • Enterprise-wide technical support and reliability programs — architect and govern, defining escalation protocols, knowledge-base systems, and continuous improvement metrics for robotic fleet operations.
  • Complex problem-solving methodologies and systems analysis practices — model and disseminate across the organization, raising the collective capability to resolve high-impact, multi-system robotics failures.
  • End-of-arm tooling and robotic platform design standards — author and own, ensuring consistent application of safety regulations, IP protection strategies, and manufacturing best practices firm-wide.
  • Judgment and decision-making frameworks for high-risk robotics deployments — develop and apply, advising executive stakeholders on risk trade-offs in autonomous vehicle, advanced display, and industrial automation programs.
  • Innovation culture and intellectual curiosity — cultivate deliberately within engineering teams, sponsoring research initiatives, patent activities, and external collaboration that advance the state of robotics practice.
  • Organizational knowledge assets including program libraries, design databases, and training curricula — build and steward, ensuring institutional robotics expertise is preserved, accessible, and continuously updated.

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
Not reported
Placement Rate
47%