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  1. Programs
  3. M.S. in Game Programming

M.S. in Game Programming

DePaul University

Master's DegreeCIP: 11.0202

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

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

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Locations

Where this program is offered

  • Chicago, Illinois

    1 E Jackson Blvd, Chicago, Illinois, 60604

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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 15-1253.00

Skills

Reading ComprehensionCritical ThinkingProgrammingComplex Problem SolvingActive ListeningJudgment and Decision MakingSystems AnalysisSpeakingWritingMonitoringActive LearningSystems EvaluationQuality Control Analysis

Knowledge

Computers and ElectronicsEnglish LanguageMathematicsEngineering and TechnologyCustomer and Personal ServiceDesign

Abilities

Oral ComprehensionWritten ComprehensionOral ExpressionProblem SensitivityDeductive ReasoningInductive ReasoningWritten ExpressionInformation OrderingNear VisionSpeech RecognitionCategory Flexibility

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
  • 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
  • Write, analyze, review, and rewrite programs, using workflow chart and diagram, and applying knowled
  • Correct errors by making appropriate changes and rechecking the program to ensure that the desired r
  • Perform or direct revision, repair, or expansion of existing programs to increase operating efficien

Technology

Development environment softwareObject or component oriented development softwareDocument management softwareWord processing softwareData base user interface and query softwareWeb platform development softwareWeb page creation and editing 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 computersSerial port cards

Work Values

AchievementWorking ConditionsSupportIndependenceRecognitionRelationships
Career Pathways

Occupations this program prepares you for

  • Software Quality Assurance Analysts and Testers15-1253.00
  • Software Developers15-1252.00
  • Computer Programmers15-1251.00
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