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  1. Programs
  2. Computational Linguistics

Computational Linguistics

San Jose State University

Master's Degree

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

Linguistics, the scientific study of human language, explores what language is, how it works, and which properties human languages have in common. Our curriculum focuses on understanding how different aspects of language work and on how the languages of the world work and on how this understanding can be applied to support our culturally diverse society. Students in the Department of Linguistics and Language Development (LLD) are part of an ethnically and linguistically diverse student body, ...

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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

  • San Jose, California

    One Washington Square, San Jose, California, 95192-0001

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Related Programs

Programs related to this one

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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: advanced (Level 4)(based on Master's Degree)

  • Organizational research strategy and computing innovation roadmap — define and champion by translating long-range scientific vision into funded, executable R&D programs.
  • New computational paradigms and breakthrough technologies — pioneer by directing teams of researchers to apply original theoretical frameworks to previously intractable problems.
  • Enterprise-level systems architecture decisions — make with full accountability, balancing technical rigor, resource constraints, and organizational mission at executive scale.
  • Multidisciplinary research portfolios spanning AI, robotics, and human-computer interaction — oversee and integrate to ensure coherent scientific progress and cross-domain synergy.
  • Organizational talent and competency development — lead by mentoring junior scientists, designing research apprenticeships, and building institutional knowledge within the discipline.
  • Strategic partnerships with industry, government, and academic institutions — cultivate and govern to secure resources, expand research influence, and accelerate technology transfer.
  • Peer-review and editorial leadership in high-impact scientific venues — exercise to shape the direction of the field and uphold rigorous standards for computational research.
  • Feasibility and investment decisions on large-scale technology initiatives — render by synthesizing inductive and deductive reasoning across complex technical, financial, and policy dimensions.
  • Organizational innovation culture — foster by setting norms of intellectual curiosity, dependability, and evidence-based experimentation across research divisions.
  • Policy and standards contributions at national or international level — lead by representing organizational expertise in computing research to shape regulatory and technical frameworks.

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
55%
Placement Rate
55%