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  1. Programs
  3. Computational Linguistics

Computational Linguistics

University of Nevada-Reno

Bachelor's Degree

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

No description available.

Dates

Since Dec 2021

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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

  • Reno, Nevada

    1664 North Virginia Street, Reno, Nevada, 89557

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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 15-1221.00

Skills

Judgment and Decision MakingCritical ThinkingComplex Problem SolvingReading ComprehensionActive ListeningSystems AnalysisProgrammingSystems Evaluation

Knowledge

Computers and ElectronicsMathematicsEngineering and TechnologyEnglish LanguageAdministration and Management

Abilities

Deductive ReasoningInductive ReasoningOral ComprehensionOral ExpressionWritten ComprehensionFluency of IdeasProblem SensitivityWritten ExpressionInformation OrderingCategory Flexibility

Tasks

  • 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

Graphics or photo imaging softwareDevelopment environment softwareAnalytical or scientific softwareData base management system softwareData base user interface and query software

Tools

Articulated robotsCluster systemsComputer laser printersComputer scannersDigital camerasDigital video camerasDistributed heterogeneous computersFile serversFree-field speakersGraphics workstationsHard disk drivesHigh end computer serversHigh-performance cluster HPC computersHigh-speed networking testbedsImage capture devices

Work Values

AchievementWorking ConditionsRecognitionIndependenceSupportRelationships
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: medium15-1221.00Computer and Information Research Scientiststitle_inference$140,910 median$232,120 top+19.85%790
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)

  • Novel hardware architectures and software systems — design end-to-end by synthesizing theoretical innovation and applied engineering judgment across the full research lifecycle.
  • Complex multidisciplinary problems in areas such as virtual reality or robotics — analyze and resolve autonomously by formulating original computational models and experimental designs.
  • Theoretical expertise — apply to create new technologies or adapt computing principles to previously unsolved problems in high-stakes research or industry environments.
  • Systems evaluation frameworks — develop and execute to assess whether deployed technologies meet scientific, operational, and organizational performance criteria.
  • Non-routine feasibility and risk analyses — conduct on research proposals and project plans, delivering authoritative recommendations to senior leadership and funding bodies.
  • Expert system and business intelligence software — architect and leverage to extract insights from large-scale data in support of strategic research objectives.
  • Logical analyses of business, scientific, and engineering problems — lead independently by constructing rigorous mathematical representations suitable for computational solution.
  • Stakeholder consultations with executives, partners, and regulatory bodies — manage to secure cooperation, resolve technical disputes, and maintain project alignment.
  • Cloud-based and distributed computing environments — design and optimize to support high-performance research workloads requiring scalability and resilience.
  • Advanced programming and technology design solutions — produce and publish as original intellectual contributions that extend the state of the art in the field.

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