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  1. Programs
  3. Computer Science Systems Engineering

Computer Science Systems Engineering

University of Denver

Post-Baccalaureate CertificateCIP: 14.0903

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

No description available.

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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

  • Denver, Colorado

    2199 S. University Blvd, Denver, Colorado, 80208

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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 25-1032.00

Skills

Reading ComprehensionCritical ThinkingSpeakingComplex Problem SolvingActive ListeningJudgment and Decision MakingWritingProgrammingSystems AnalysisMathematicsSystems EvaluationInstructingLearning StrategiesMonitoringActive Learning

Knowledge

MathematicsEnglish LanguageEngineering and TechnologyDesignComputers and ElectronicsCustomer and Personal ServiceChemistryProduction and ProcessingAdministration and Management

Abilities

Oral ExpressionWritten ComprehensionOral ComprehensionDeductive ReasoningInductive ReasoningWritten ExpressionInformation OrderingCategory FlexibilityProblem SensitivityNear VisionSpeech ClarityMathematical ReasoningSpeech RecognitionOriginalityFluency of Ideas

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.
  • Identify, analyze, and document problems with program function, output, online screen, or content.
  • Document software defects, using a bug tracking system, and report defects to software developers.
  • Develop testing programs that address areas such as database impacts, software scenarios, regression
  • Analyze user needs and software requirements to determine feasibility of design within time and cost
  • Develop or direct software system testing or validation procedures, programming, or documentation.
  • Confer with systems analysts, engineers, programmers and others to design systems and to obtain info
  • Develop data warehouse process models, including sourcing, loading, transformation, and extraction.
  • Verify the structure, accuracy, or quality of warehouse data.
  • Map data between source systems, data warehouses, and data marts.
  • Develop and document database architectures.
  • Collaborate with system architects, software architects, design analysts, and others to understand b
  • Develop database architectural strategies at the modeling, design and implementation stages to addre
  • Design or conduct applied biodiesel or biofuels research projects on topics, such as transport, ther
  • Analyze data from biofuels studies, such as fluid dynamics, water treatments, or solvent extraction
  • Prepare, or oversee the preparation of, experimental plans for biofuels research or development.
  • Manage the coordination and overall integration of technical activities in architecture or engineeri
  • Direct, review, or approve project design changes.
  • Consult or negotiate with clients to prepare project specifications.

Technology

Object or component oriented development softwareWord processing softwareDevelopment environment softwareData base user interface and query softwareDocument management softwareEnterprise resource planning ERP softwareComputer aided design CAD softwareData base management system softwareComputer based training softwareCalendar and scheduling softwareMetadata management softwareAccess softwareBackup or archival softwareGraphics or photo imaging softwareAnalytical or scientific softwareComputer aided manufacturing CAM softwareExpert system 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 controllersApplication serversComputer network routersComputer serversDigital camerasDirectory serversFlash disksGraphics processing unit GPUIn circuit emulators ICELaptop computersLogic analyzersMainframe computersMainframe operating systemsMulti-core central processing unit CPUNotebook computersData warehouse appliances

Work Values

AchievementRecognitionIndependenceWorking ConditionsRelationshipsSupport
Career Pathways

Occupations this program prepares you for

  • Engineering Teachers, Postsecondary25-1032.00
  • Software Quality Assurance Analysts and Testers15-1253.00
  • Software Developers15-1252.00
  • Data Warehousing Specialists15-1243.01
  • Database Architects15-1243.00
  • Biofuels/Biodiesel Technology and Product Development Managers11-9041.01
  • Architectural and Engineering Managers11-9041.00
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: proficient (Level 3)(based on Post-Baccalaureate Certificate)

  • 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

Auto-populated·from Scorecard + DOL
Completion Rate
14%
Placement Rate
26%