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
  2. Post-baccalaureate Certificate in Business Analytics

Post-baccalaureate Certificate in Business Analytics

Western Illinois University

Post-Baccalaureate CertificateCIP: 52.1302

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

No description available.

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

  • Macomb, Illinois

    1 University Circle, Macomb, Illinois, 61455

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

SpeakingReading ComprehensionCritical ThinkingActive ListeningActive LearningMathematicsWritingComplex Problem SolvingJudgment and Decision MakingInstructingLearning StrategiesMonitoringScience

Knowledge

MathematicsEnglish LanguageComputers and ElectronicsAdministration and ManagementCustomer and Personal ServiceEducation and TrainingMedicine and DentistryEconomics and AccountingSociology and AnthropologyEngineering and Technology

Abilities

Oral ExpressionOral ComprehensionWritten ComprehensionDeductive ReasoningWritten ExpressionInductive ReasoningMathematical ReasoningSpeech ClarityNear VisionInformation OrderingProblem SensitivityNumber FacilitySpeech RecognitionCategory Flexibility

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.
  • Prepare and deliver lectures to undergraduate or graduate students on topics such as financial accou
  • Initiate, facilitate, and moderate classroom discussions.
  • Conduct surveys and collect data, using methods such as interviews, questionnaires, focus groups, ma
  • Prepare and present summaries and analyses of survey data, including tables, graphs, and fact sheets
  • Consult with clients to identify survey needs and specific requirements, such as special samples.
  • 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

Technology

Data base user interface and query softwareAnalytical or scientific softwareObject or component oriented development softwareComputer based training softwareCalendar and scheduling softwareWord processing softwareWeb page creation and editing softwareBusiness intelligence and data analysis softwareData mining softwareInformation retrieval or search softwareElectronic mail softwareExpert system softwareMedical softwareCategorization or classification softwareAccess softwareData base reporting softwareDocument management softwareDevelopment environment softwareStorage networking softwareCloud-based management softwareProcedure management softwareOperating system softwareData base management system 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 projectorsLaser printersNotebook computersOptical character readersPersonal computersPersonal digital assistants PDAScannersTablet computersHandheld computersSmartphonesComputer serversData warehouse appliancesPhotocopiersStorage serversMainframe computers

Work Values

AchievementIndependenceRecognitionWorking ConditionsRelationshipsSupport
Career Pathways

Occupations this program prepares you for

  • Mathematical Science Teachers, Postsecondary25-1022.00
  • Business Teachers, Postsecondary25-1011.00
  • Survey Researchers19-3022.00
  • Clinical Data Managers15-2051.02
  • Business Intelligence Analysts15-2051.01
  • Data Scientists15-2051.00
  • Biostatisticians15-2041.01
  • Statisticians15-2041.00
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: proficient (Level 3)(based on Post-Baccalaureate Certificate)

  • 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