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  1. Programs
  2. Statistics and Operations Research

Statistics and Operations Research

University of North Carolina at Chapel Hill

Doctoral ResearchCIP: 27.0502

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

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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

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Locations

Where this program is offered

  • Chapel Hill, North Carolina

    103 South Bldg Cb 9100, Chapel Hill, North Carolina, 27599

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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 25-1022.00

Skills

Reading ComprehensionCritical ThinkingMathematicsSpeakingActive ListeningActive LearningWritingJudgment and Decision MakingComplex Problem SolvingMonitoringScienceInstructingLearning StrategiesSystems Evaluation

Knowledge

MathematicsEnglish LanguageComputers and ElectronicsCustomer and Personal ServiceEducation and TrainingMedicine and DentistryAdministration and ManagementEngineering and TechnologyPhysicsEconomics and AccountingLaw and Government

Abilities

Oral ExpressionOral ComprehensionWritten ComprehensionDeductive ReasoningWritten ExpressionInductive ReasoningMathematical ReasoningInformation OrderingNumber FacilitySpeech ClarityNear VisionProblem SensitivityCategory FlexibilitySpeech Recognition

Tasks

  • Compile, administer, and grade examinations, or assign this work to others.
  • Evaluate and grade students' class work, assignments, and papers.
  • Prepare and deliver lectures to undergraduate or graduate students on topics such as linear algebra,
  • Hire adjunct faculty.
  • Design and validate clinical databases, including designing or testing logic checks.
  • Process clinical data, including receipt, entry, verification, or filing of information.
  • Generate data queries, based on validation checks or errors and omissions identified during data ent
  • Generate standard or custom reports summarizing business, financial, or economic data for review by
  • Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
  • Manage timely flow of business intelligence information to users.
  • Troubleshoot program and system malfunctions to restore normal functioning.
  • Provide staff and users with assistance solving computer-related problems, such as malfunctions and
  • Test, maintain, and monitor computer programs and systems, including coordinating the installation o
  • Draw conclusions or make predictions, based on data summaries or statistical analyses.
  • Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-e
  • Write detailed analysis plans and descriptions of analyses and findings for research protocols or re
  • Analyze and interpret statistical data to identify significant differences in relationships among so
  • Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicabilit
  • Report results of statistical analyses, including information in the form of graphs, charts, and tab
  • Mentor others on mathematical techniques.
  • Maintain knowledge in the field by reading professional journals, talking with other mathematicians,
  • Develop new principles and new relationships between existing mathematical principles to advance mat
  • Ascertain premium rates required and cash reserves and liabilities necessary to ensure payment of fu
  • Collaborate with programmers, underwriters, accounts, claims experts, and senior management to help
  • Analyze statistical information to estimate mortality, accident, sickness, disability, and retiremen
  • Analyze data to determine premium rates required and cash reserves and liabilities necessary to ensure payment of future benefits.

Technology

Data base user interface and query softwareAnalytical or scientific softwareObject or component oriented development softwareDevelopment environment softwareBusiness intelligence and data analysis softwareOperating system softwareData mining softwareComputer based training softwareCalendar and scheduling softwareWord processing softwareMedical softwareCategorization or classification softwareAccess softwareData base reporting softwareDocument management softwareWeb page creation and editing softwareStorage networking softwareCloud-based management softwareProcedure management softwareData base management system softwareGraphics or photo imaging softwareContent workflow softwareFinancial analysis softwareCompliance softwareElectronic mail software

Tools

Carousel slide projectorsCompact digital camerasCompact disk CD playersComputer data input scannersComputer laser printersConference telephonesDesktop computersDigital calculatorsDigital video camerasDigital video disk DVD playersHandheld microphonesInteractive whiteboard controllersInteractive whiteboardsLaptop computersLaser facsimile machinesHandheld computersSmartphonesComputer serversData warehouse appliancesPhotocopiersScannersStorage serversMainframe computersPersonal computersPlottersGraphing calculatorsOptical disk drivesSupercomputersUniversal serial bus USB flash drives10-key calculators

Work Values

AchievementIndependenceRecognitionWorking ConditionsRelationshipsSupport
Career Pathways

Occupations this program prepares you for

  • Mathematical Science Teachers, Postsecondary25-1022.00
  • Clinical Data Managers15-2051.02
  • Business Intelligence Analysts15-2051.01
  • Data Scientists15-2051.00
  • Biostatisticians15-2041.01
  • Statisticians15-2041.00
  • Mathematicians15-2021.00
  • Actuaries15-2011.00
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: advanced (Level 4)(based on Doctoral Research)

  • Mathematics program curriculum — lead the comprehensive design, evaluation, and reform of undergraduate and graduate mathematics curricula at the departmental or college level, aligning content with national standards and institutional strategic goals.
  • Faculty instructional development — mentor junior faculty and graduate teaching assistants in evidence-based pedagogical methods, providing structured feedback on teaching practice within a university mathematics department.
  • Examination and assessment policy — establish departmental standards and policies for assessment design, grading equity, and academic integrity across all course levels and instructors.
  • Scholarly course materials and textbooks — author or edit advanced instructional resources, including textbooks, open-access course notes, and problem sets, that contribute to the broader mathematical education community.
  • Graduate student mentorship — direct the academic and professional development of doctoral students, overseeing dissertation research, qualifying examinations, and career preparation in a research-intensive postsecondary environment.
  • Institutional curriculum governance — represent the mathematics department on university curriculum committees, advocating for program priorities and leading cross-disciplinary course articulation and policy decisions.
  • High-level classroom discourse — design and model transformative seminar and lecture formats that cultivate independent mathematical inquiry and scholarly habits of mind among advanced graduate students.
  • Strategic advising and outreach — build advising frameworks and student-support initiatives that improve retention and degree completion across the mathematics program, coordinating with institutional student success offices.
  • Technology and learning environment strategy — lead departmental adoption of analytical software platforms, online learning tools, and database systems to modernize mathematics instruction at scale.
  • Disciplinary leadership and knowledge dissemination — present pedagogical and mathematical research at national conferences, publish in peer-reviewed venues, and serve in editorial or leadership roles that advance the field of mathematical science education.

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