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  1. Programs
  2. Bioinformatics

Bioinformatics

San Jose State University

Master's Degree

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

The MS Bioinformatics, offered by the Department of Computer Science, features an interdisciplinary curriculum in bioinformatics, biology, computer science, and mathematics. Questions in many areas of biology, including genomics, molecular biology, neuroscience, physiology, microbiology, ecology, and evolution, must now be answered using mathematical and computational methods. New techniques allow the acquisition of many thousands or millions of biological measurements, and the field of bioin...

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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

  • 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 19-1029.01

Skills

Reading ComprehensionCritical ThinkingComplex Problem SolvingActive ListeningSpeakingWritingScienceJudgment and Decision Making

Knowledge

BiologyComputers and ElectronicsMathematicsEnglish LanguageChemistry

Abilities

Written ComprehensionWritten ExpressionOral ComprehensionOral ExpressionProblem SensitivityDeductive ReasoningInductive ReasoningInformation OrderingFluency of IdeasMathematical Reasoning

Tasks

  • Develop new software applications or customize existing applications to meet specific scientific pro
  • Communicate research results through conference presentations, scientific publications, or project r
  • Create novel computational approaches and analytical tools as required by research goals.

Technology

Analytical or scientific softwareData base user interface and query softwareObject or component oriented development softwareData base management system softwarePortal server software

Tools

Computer data input scannersComputer laser printersDesktop computersLaptop computersPersonal computers

Work Values

IndependenceAchievementRecognitionWorking ConditionsSupportRelationships
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: medium19-1029.01Bioinformatics Scientiststitle_inference———
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)

  • Institutional bioinformatics research strategy — define and champion across departments, securing grant funding and shaping long-term scientific direction at organizational scale.
  • Novel analytical frameworks and computational methodologies — pioneer and publish as senior or principal author, establishing new standards of practice that influence the broader bioinformatics field.
  • Cross-functional research programs integrating computational biology, clinical genomics, and software engineering teams — lead by setting vision, resolving high-stakes scientific conflicts, and ensuring organizational alignment.
  • Junior scientists, postdoctoral fellows, and graduate students — mentor systematically by designing individualized learning strategies and providing structured feedback that accelerates career development in bioinformatics.
  • Enterprise-scale data infrastructure encompassing databases, HPC clusters, and cloud platforms — oversee architecture and governance decisions that enable institution-wide multi-omics research initiatives.
  • Scientific community engagement through keynote presentations, society leadership, and editorial roles — sustain as a recognized domain authority, disseminating organizational research impact at international conferences.
  • Strategic partnerships with pharmaceutical, clinical, and technology industry stakeholders — establish and steward by translating organizational bioinformatics capabilities into collaborative applied-research agreements.
  • Ethical, regulatory, and data-governance frameworks for large-scale genomic and patient-linked datasets — develop and enforce at the organizational level, ensuring compliance with institutional and federal standards.
  • Workforce capability in computational biology — assess organization-wide gaps and design training programs and hiring roadmaps that build sustained institutional expertise across all career levels.
  • Emerging technology landscapes spanning next-generation sequencing, AI-driven structural biology, and single-cell methods — evaluate strategically and determine organizational investment priorities that position the institution at the scientific frontier.

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
66.8%
Placement Rate
Not reported