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  1. Programs
  3. Software Systems Design

Software Systems Design

New Mexico Highlands University

Master's DegreeAcademic

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

Upon completing the program, Software Systems Design graduate students will have developed proficiency in a variety of programming languages and hardware solutions used by professionals in the fields of software development, web development, mobile development, game development, physical computing, and microcontrollers. Students synthesize their knowledge in a final field project or thesis.

Credits

38 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

  • New Mexico

    New Mexico

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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 15-1253.00

Skills

Reading ComprehensionSpeakingCritical ThinkingActive ListeningWritingProgrammingMonitoringComplex Problem Solving

Knowledge

Computers and ElectronicsEnglish LanguageMathematicsEngineering and TechnologyDesign

Abilities

Oral ComprehensionWritten ComprehensionOral ExpressionProblem SensitivityDeductive ReasoningInductive ReasoningWritten ExpressionInformation OrderingNear VisionSpeech Recognition

Tasks

  • 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

Technology

Word processing softwareDevelopment environment softwareObject or component oriented development softwareData base user interface and query softwareDocument management software

Tools

Application serversComputer network routersComputer serversDesktop computersDigital camerasDirectory serversFlash disksGraphics processing unit GPUIn circuit emulators ICELaptop computersLogic analyzersMainframe computersMainframe operating systemsMulti-core central processing unit CPUNotebook computers

Work Values

AchievementWorking ConditionsSupportIndependenceRecognitionRelationships
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: medium15-1253.00Software Quality Assurance Analysts and Testerstitle_inference$102,610 median$166,960 top+10.01%2,020
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)

  • Organization-wide QA strategy and quality governance framework — define and champion across all product lines, aligning testing standards with enterprise risk tolerance and business objectives.
  • Quality assurance capability roadmap — lead the development of, including adoption of emerging test automation, AI-assisted testing, and shift-left practices across engineering organizations.
  • Cross-functional QA processes and toolchain standards — establish and enforce, coordinating with development, product, DevOps, and security teams to embed quality throughout the SDLC.
  • Senior QA engineers and test architects — mentor and develop, setting performance expectations and creating career growth pathways within the quality assurance function.
  • Executive and stakeholder reporting on product quality, defect risk, and release readiness — deliver with strategic recommendations that influence go/no-go decisions at the portfolio level.
  • Industry best practices in systems analysis, quality control, and software engineering — synthesize and translate into organizational standards, training programs, and methodology updates.
  • QA team hiring, structure, and resource allocation — lead to build high-performing testing organizations capable of supporting large-scale, complex software delivery programs.
  • Regulatory compliance and quality audit requirements — interpret and operationalize within the QA function, ensuring all test documentation and processes satisfy external and internal mandates.
  • Enterprise-level test infrastructure investment decisions — evaluate and authorize, balancing cost, scalability, and capability improvements for current and future technology portfolios.
  • Culture of quality and continuous improvement — instill across engineering and product organizations by advocating for proactive defect prevention, rigorous standards, and shared accountability.

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