LER.me

Make All Learning Count.

Get Connected

  • What is a LER?
  • FAQs (opens in new tab)
  • Partner with Us
  • Visit EBSCOed (opens in new tab)

View our Policies

  • Accessibility (opens in new tab)
  • Standards (opens in new tab)
  • Terms of Use (opens in new tab)
  • Privacy Policy (opens in new tab)
  • Opt out (opens in new tab)

Get the app

Get it on Google PlayDownload on the App Store

© 2026 All rights reserved.

Powered by EBSCOed

Skip to main contentSkip to footer
  • Live Data
My LER
My LER
  1. Programs
  3. APPLIED MATHEMATICS AND DATA SCIENCE

APPLIED MATHEMATICS AND DATA SCIENCE

Shepherd University

Bachelor's DegreeCIP: 27.0301

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

No description available.

Dates

Since Jun 2024

Loading Skills & Competencies
Program Pathways

Credentials this program stacks toward

No program pathways.

Loading What You'll Learn
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.

Visit Program Website
Locations

Where this program is offered

  • Shepherdstown, West Virginia

    301 North King St, Shepherdstown, West Virginia, 25443

Loading Student Outcomes
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 ListeningComplex Problem SolvingWritingActive LearningJudgment and Decision MakingMathematicsMonitoringScienceInstructingLearning StrategiesSystems EvaluationTime ManagementCoordinationSocial Perceptiveness

Knowledge

English LanguageComputers and ElectronicsMathematicsCustomer and Personal ServiceEngineering and TechnologyMedicine and DentistryEducation and TrainingBiologyAdministration and ManagementPhysicsAdministrativeEconomics and AccountingLaw and GovernmentDesign

Abilities

Oral ExpressionOral ComprehensionWritten ComprehensionDeductive ReasoningWritten ExpressionInductive ReasoningInformation OrderingMathematical ReasoningProblem SensitivitySpeech ClarityNumber FacilityNear VisionCategory FlexibilitySpeech 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.
  • 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.
  • 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 softwareObject or component oriented development softwareDevelopment environment softwareDocument management softwareGraphics or photo imaging softwareAccess softwareData base management system softwareCategorization or classification softwareBusiness intelligence and data analysis softwareOperating system softwareData mining softwareGeographic information systemComputer based training softwareCalendar and scheduling softwareWord processing softwareFile versioning softwareEnterprise application integration softwareWeb platform development softwareMedical softwareData base reporting softwareWeb page creation and editing softwareStorage networking softwareCloud-based management softwareProcedure management softwareContent workflow softwareFinancial analysis softwareCompliance softwareElectronic mail 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 serversMainframe computers

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
  • Biostatisticians15-2041.01
  • Statisticians15-2041.00
  • Mathematicians15-2021.00
  • Actuaries15-2011.00
  • 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