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  1. Programs
  3. Semiconductor Engineering

Semiconductor Engineering

Missouri University of Science and Technology

Bachelor's DegreeAcademic

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

For the Bachelor of Science degree in Semiconductor Engineering a minimum of 127 credit hours (Semiconductor Device Engineering emphasis area) or 128 credit hours (Semiconductor Process Engineering emphasis area) is required. A cumulative grade point average of at least

Credits

127 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.

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Locations

Where this program is offered

  • Missouri

    Missouri

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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 25-1032.00

Skills

SpeakingInstructingLearning StrategiesReading ComprehensionActive ListeningWritingMathematicsCritical Thinking

Knowledge

Engineering and TechnologyDesignComputers and ElectronicsMathematicsEnglish Language

Abilities

Oral ExpressionSpeech ClarityWritten ComprehensionOral ComprehensionWritten ExpressionDeductive ReasoningInductive ReasoningInformation OrderingCategory FlexibilityMathematical Reasoning

Tasks

  • Conduct research in a particular field of knowledge and publish findings in professional journals, b
  • Prepare course materials, such as syllabi, homework assignments, and handouts.
  • Evaluate and grade students' class work, laboratory work, assignments, and papers.

Technology

Computer aided design CAD softwareComputer based training softwareObject or component oriented development softwareCalendar and scheduling softwareWord processing software

Tools

Carousel slide projectorsCompact digital camerasCompact disk CD playersComputer data input scannersComputer laser printersComputer numerical control CNC lathesComputer numerical control CNC millsComputer projectorsConference telephonesDesktop computersDigital calculatorsDigital video camerasDigital video disk DVD playersHandheld microphonesInteractive whiteboard controllers

Work Values

AchievementRecognitionIndependenceWorking ConditionsRelationshipsSupport
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: medium25-1032.00Engineering Teachers, Postsecondarytitle_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)

  • Graduate-level curricula in advanced engineering topics — design, continuously refine, and deliver autonomously across a sustained portfolio of courses at a doctoral-granting institution.
  • Doctoral student research programs — supervise end-to-end, from dissertation proposal through defense, within a university engineering department.
  • Original research investigations — lead independently, producing peer-reviewed publications and presentations that advance knowledge in a defined engineering subdiscipline.
  • Competitive federal and industry grant proposals — author and submit as principal investigator, securing multi-year external funding for laboratory operations and graduate support.
  • Complex, non-routine engineering problems — diagnose and resolve by applying deductive and inductive reasoning across intersecting domains including physics, mathematics, and systems analysis.
  • Undergraduate and graduate course learning outcomes — evaluate through systematic assessment data, revising instructional methods to demonstrably improve student achievement.
  • Interdisciplinary engineering systems — analyze and critically evaluate using computational modeling tools, integrating findings into both research and classroom instruction.
  • Emerging technologies and engineering standards — monitor continuously through literature review and professional engagement, translating advances directly into updated course content.
  • Collaborative research partnerships — establish and manage with industry or government laboratories, coordinating student involvement and ensuring regulatory compliance.
  • Engineering design and manufacturing software ecosystems — leverage at an expert level to support research workflows and authentic project-based learning experiences.

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