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  1. Programs
  3. Computer Science: Software Development

Computer Science: Software Development

Kutztown University of Pennsylvania

Master's DegreeAcademic

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

The Master of Science in Computer Science focuses on the core concepts in computer science and software engineering, allowing students to build a foundation, thus having the capability to learn any new technology. The classes are varied and exciting utilizing a wide array of programming languages: Network Programming, Data Mining, Big Data, Game Development, Human Computer Interaction, Robotics, Artificial Intelligence and Software Engineering.

Credits

30 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.

Kutztown University of PennsylvaniaVisit Program Website
Locations

Where this program is offered

  • Pennsylvania

    Pennsylvania

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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 15-1252.00

Skills

ProgrammingCritical ThinkingJudgment and Decision MakingReading ComprehensionSystems AnalysisActive LearningSystems EvaluationComplex Problem Solving

Knowledge

Computers and ElectronicsMathematicsCustomer and Personal ServiceEnglish Language

Abilities

Oral ComprehensionWritten ComprehensionOral ExpressionProblem SensitivityDeductive ReasoningNear VisionInformation OrderingWritten ExpressionInductive ReasoningCategory Flexibility

Tasks

  • 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

Technology

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

Tools

Application serversComputer serversDesktop computersDigital camerasDirectory serversFlash disksGraphics processing unit GPUIn circuit emulators ICELogic analyzersMainframe computersMulti-core central processing unit CPUNotebook computers
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: high15-1252.00Software Developerstitle_inference$133,080 median$211,450 top+15.8%26,770
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)

  • System architecture across multiple services — design, evolve, and defend across the org.
  • Engineering standards and platform direction — set, document, and uphold across teams.
  • High-stakes incidents and recovery — lead response, root-cause, and structural follow-up.
  • Technical strategy multi-quarter — define and align with product, leadership, and adjacent teams.
  • Engineering hiring and leveling — shape rubrics, calibrate decisions, and grow the bar org-wide.
  • Senior engineer development — mentor, sponsor, and grow across the engineering organization.
  • Critical build-vs-buy and platform decisions — frame, evaluate, and drive to closure.
  • External technical representation — speak credibly in customer, partner, and community contexts.
  • Cross-functional initiatives — lead with product, design, and operations on company-level outcomes.
  • Engineering culture and practices — shape through patterns, rituals, and standards across teams.

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