Biomedical Engineering | University of Minnesota-Twin Cities

Skills & Competencies

Skills developed through this program

Auto-populatedfrom 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-populatedfrom O*NET + BLS

Occupations matched to this program, with median wage, top wage, growth, and openings
SOC	Occupation	Method	Wage	Growth	Openings
Match confidence: high17-2031.00	Bioengineers and Biomedical Engineers	title_inference	—	—	—

Program Pathways

Credentials this program stacks toward

No program pathways.

What You'll Learn

Key competencies developed through this program

Auto-populatedfrom 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.

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.