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My LER
  1. Programs
  2. B.S. in Applied and Computation Mathematics and Statistics

B.S. in Applied and Computation Mathematics and Statistics

University of Notre Dame

Bachelor's DegreeCIP: 27.9999

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

  • Notre Dame, Indiana

    400 Main Building, Notre Dame, Indiana, 46556

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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 25-1022.00

Skills

Reading ComprehensionCritical ThinkingSpeakingActive ListeningWritingComplex Problem SolvingActive LearningJudgment and Decision MakingMathematicsMonitoringScienceInstructingLearning StrategiesTime ManagementCoordinationSocial Perceptiveness

Knowledge

English LanguageComputers and ElectronicsMathematicsCustomer and Personal ServiceEngineering and TechnologyEducation and TrainingBiologyMedicine and DentistryAdministration and ManagementPhysicsAdministrativeDesign

Abilities

Oral ExpressionOral ComprehensionWritten ComprehensionDeductive ReasoningWritten ExpressionInductive ReasoningInformation OrderingSpeech ClarityProblem SensitivityMathematical ReasoningNear VisionCategory FlexibilityNumber FacilitySpeech RecognitionSelective Attention

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.
  • Analyze or manipulate bioinformatics data using software packages, statistical applications, or data
  • Extend existing software programs, web-based interactive tools, or database queries as sequence mana
  • Maintain awareness of new and emerging computational methods and technologies.
  • 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
  • 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.
  • 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
  • Perform hydrologic, hydraulic, or water quality modeling.
  • Analyze storm water systems to identify opportunities for water resource improvements.
  • Conduct, or oversee the conduct of, investigations on matters such as water storage, wastewater disc
  • Schedule subjects for appointments, procedures, or inpatient stays as required by study protocols.
  • Perform specific protocol procedures such as interviewing subjects, taking vital signs, and performi
  • Assess eligibility of potential subjects through methods such as screening interviews, reviews of me
  • Hire, supervise, or evaluate engineers, technicians, researchers, or other staff.
  • Design or coordinate successive phases of problem analysis, solution proposals, or testing.
  • Plan or direct research, development, or production activities.

Technology

Data base user interface and query softwareAnalytical or scientific softwareDevelopment environment softwareDocument management softwareGraphics or photo imaging softwareAccess softwareCategorization or classification softwareObject or component oriented development softwareGeographic information systemComputer based training softwareCalendar and scheduling softwareWord processing softwareFile versioning softwareEnterprise application integration softwareWeb platform development softwareData base management system softwareMedical softwareData base reporting softwareWeb page creation and editing softwareBusiness intelligence and data analysis softwareStorage networking softwareCloud-based management softwareProcedure management softwareOperating system softwareContent workflow softwareComputer aided design CAD softwareCustomer relationship management CRM softwareAccounting softwareVideo conferencing softwareSpreadsheet 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 machinesComputer clustersComputer workstation setupsHigh throughput screening HTS systemsNetwork file serversNuclear magnetic resonance NMR spectrometersSemiconductor-based sequencersWeb serversHandheld computersSmartphonesComputer serversData warehouse appliancesPhotocopiersScannersStorage serversGraphing calculators

Work Values

AchievementIndependenceRecognitionWorking ConditionsRelationshipsSupport
Career Pathways

Occupations this program prepares you for

  • Mathematical Science Teachers, Postsecondary25-1022.00
  • Bioinformatics Technicians15-2099.01
  • Mathematical Science Occupations, All Other15-2099.00
  • Clinical Data Managers15-2051.02
  • Business Intelligence Analysts15-2051.01
  • Data Scientists15-2051.00
  • Mathematicians15-2021.00
  • Water Resource Specialists11-9121.02
  • Clinical Research Coordinators11-9121.01
  • Natural Sciences Managers11-9121.00
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: proficient (Level 3)(based on Bachelor's Degree)

  • Graduate and upper-division undergraduate lectures — autonomously design and deliver advanced instruction on topics such as real analysis, abstract algebra, or topology, adapting content to diverse learner backgrounds in a doctoral-granting department.
  • Comprehensive assessment systems — independently develop, administer, and evaluate a full suite of examinations, projects, and written papers that measure both procedural fluency and mathematical reasoning in a postsecondary context.
  • Non-routine student work — assess and provide substantive written feedback on graduate-level proofs, theses chapters, and research expositions, applying expert judgment about mathematical validity and communication quality.
  • Curriculum design and revision — independently lead the planning, evaluation, and revision of course content and instructional methods for a mathematics program sequence, incorporating current disciplinary and pedagogical research.
  • Interdisciplinary course materials — develop innovative syllabi and handouts that integrate computational tools, real-world applications, and primary literature to enhance student engagement and disciplinary depth.
  • Student academic advising — provide sustained mentorship and guidance to undergraduate and graduate students during office hours and advising sessions, supporting degree planning and research development in a university mathematics department.
  • Classroom discourse management — facilitate high-level seminar discussions that require students to construct, critique, and refine mathematical arguments autonomously in graduate-level course environments.
  • Learning strategy differentiation — apply evidence-based instructional approaches to address varied levels of mathematical preparation and learning needs across a heterogeneous student population.
  • Analytical and scientific software integration — incorporate tools such as Mathematica, R, or Python seamlessly into course delivery and assessment to support computational mathematics pedagogy.
  • Systems evaluation — assess the effectiveness of instructional methods and course structures by analyzing student performance trends and implementing data-informed improvements across a full academic year.

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