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  1. Programs
  3. Biomedical Engineering

Biomedical Engineering

Arizona State University Campus Immersion

Bachelor's DegreeAcademic

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

The Bachelor of Science in Engineering program in biomedical engineering provides students with in-depth knowledge to translate an idea for a health solution into a viable prototype of a biomedical device. With knowledge gained from courses that cover engineering and life sciences and that tie the two together, students are able to apply their skills in an ethical and sustainable manner to make contributions that address societal and individual needs.

Credits

120 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.

Visit Program Website
Locations

Where this program is offered

  • Arizona

    Arizona

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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 17-2031.00

Skills

WritingReading ComprehensionActive ListeningSpeakingComplex Problem SolvingCritical ThinkingJudgment and Decision MakingMathematics

Knowledge

Engineering and TechnologyComputers and ElectronicsMathematicsDesignPhysics

Abilities

Inductive ReasoningOral ComprehensionWritten ComprehensionOral ExpressionWritten ExpressionProblem SensitivityDeductive ReasoningInformation OrderingNear VisionFluency of Ideas

Tasks

  • Evaluate the safety, efficiency, and effectiveness of biomedical equipment.
  • Prepare technical reports, data summary documents, or research articles for scientific publication,
  • Design or develop medical diagnostic or clinical instrumentation, equipment, or procedures, using th

Technology

Enterprise resource planning ERP softwareDevelopment environment softwareMedical softwareGraphics or photo imaging softwareAnalytical or scientific software

Tools

3T scannersAccelerometersAcoustic measurement systemsAcousto-optic modulatorsActivity monitoring devicesAerosol analyzersAerosol generatorsAnalytical balancesAnthropometersArbitrary waveform generatorsAutoclavesAutomated particle countersAutomatic titratorsAutosamplersAxial-torsional testing systems

Work Values

IndependenceAchievementWorking ConditionsRecognitionRelationshipsSupport
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: high17-2031.00Bioengineers and Biomedical Engineerstitle_inference———
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)

  • Biomedical equipment safety and efficacy — conduct comprehensive, autonomous evaluations across diverse device classes and recommend corrective actions in clinical or manufacturing environments.
  • Research articles and patent applications — independently author, revise, and finalize technical documents for scientific publication, regulatory bodies, and intellectual property filings.
  • Novel medical diagnostic and clinical instrumentation — lead full design and development cycles from concept through validation, integrating engineering and biobehavioral science principles.
  • Cross-disciplinary research initiatives — drive the engineering contribution to complex biological-systems studies alongside medical scientists, managing scope and methodology independently.
  • Medical hardware and software systems — architect and develop purpose-built computational solutions for advanced diagnostic or therapeutic applications without routine oversight.
  • Research data infrastructure — design scalable database architectures, establish data governance practices, and perform advanced querying to support multi-study programs.
  • Advanced statistical models and simulations — build, calibrate, and interpret sophisticated simulation frameworks that inform critical design or clinical decisions.
  • Scientific literature synthesis — critically evaluate and integrate findings from diverse sources to identify knowledge gaps and shape research or product strategy.
  • Systems evaluation — analyze full-system performance against engineering and clinical requirements, recommend design changes, and verify outcomes across non-routine scenarios.
  • Technology design — specify and prototype innovative biomedical technologies by selecting and integrating appropriate engineering methods, materials, and computational tools.

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
100%
Placement Rate
Not reported