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My LER
My LER
  1. Programs
  3. M.S. in Computational Analysis and Public Policy

M.S. in Computational Analysis and Public Policy

University of Chicago

Master's DegreeCIP: 11.0299

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

No scholarships listed.

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Locations

Where this program is offered

  • Chicago, Illinois

    5801 S Ellis Ave, Chicago, Illinois, 60637

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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 15-1251.00

Skills

ProgrammingActive ListeningCritical ThinkingComplex Problem SolvingQuality Control AnalysisSystems AnalysisReading ComprehensionJudgment and Decision Making

Knowledge

Computers and ElectronicsMathematicsEngineering and TechnologyEnglish LanguageCustomer and Personal Service

Abilities

Written ComprehensionOral ComprehensionNear VisionProblem SensitivityDeductive ReasoningInductive ReasoningInformation OrderingOral ExpressionWritten ExpressionSpeech Recognition

Tasks

  • 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 softwareWeb platform development softwareWeb page creation and editing software

Tools

Computer serversDesktop computersMainframe computersMainframe operating systemsSerial port cards

Work Values

AchievementWorking ConditionsSupportIndependenceRecognitionRelationships
Career Pathways

Occupations this program prepares you for

  • 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 programming standards, coding conventions, and software development methodologies — establish and champion to ensure consistency, quality, and scalability across all development teams.
  • Strategic technical direction for large-scale software initiatives — set by synthesizing business objectives, engineering constraints, and emerging technology trends at the executive or principal level.
  • Junior and mid-level programmers — mentor and develop through structured code reviews, pair programming sessions, and individualized feedback within a professional development framework.
  • Enterprise software architecture decisions — lead by evaluating system-level trade-offs, directing feasibility analyses, and aligning technology choices with long-term organizational goals.
  • Cross-departmental technology consultations involving senior management and engineering leadership — facilitate to define program intent, surface systemic problems, and drive adoption of high-impact solutions.
  • Policies for documentation, version control, and program lifecycle management — author and enforce across the department to sustain institutional knowledge and reduce technical debt at scale.
  • Critical system failures and high-severity production incidents — direct diagnosis and resolution efforts, coordinating multiple programming teams under pressure and communicating status to executive stakeholders.
  • Innovation roadmaps for tooling, platforms, and development environments — define and prioritize by evaluating cloud-based, database, and web development technologies for long-range competitive advantage.
  • Organizational risk posture related to software quality, technical debt, and security — assess through advanced systems evaluation and advise senior leadership on mitigation strategies and investment priorities.
  • Workforce planning for programming talent including hiring criteria, onboarding curricula, and skills gap analyses — lead to build a high-performing development organization aligned to strategic business needs.

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