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. M.B.A. in Finance ** M.B.A. in Applied Data Analytics ** M.B.A. in Global Supply Chain

M.B.A. in Finance ** M.B.A. in Applied Data Analytics ** M.B.A. in Global Supply Chain

University of Indianapolis

Master's DegreeCIP: 52.1399

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

  • Indianapolis, Indiana

    1400 E Hanna Ave, Indianapolis, Indiana, 46227-3697

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 15-2051.00

Skills

Reading ComprehensionActive ListeningSpeakingJudgment and Decision MakingCritical ThinkingComplex Problem SolvingWritingActive LearningTime ManagementCoordinationMonitoringSystems Evaluation

Knowledge

English LanguageCustomer and Personal ServiceComputers and ElectronicsMathematicsEngineering and TechnologyTransportationAdministration and ManagementEconomics and Accounting

Abilities

Oral ComprehensionWritten ComprehensionOral ExpressionWritten ExpressionProblem SensitivityDeductive ReasoningInductive ReasoningInformation OrderingCategory FlexibilitySpeech Clarity

Tasks

  • 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
  • Determine appropriate equipment and staffing levels to load, unload, move, or store materials.
  • Manage activities related to strategic or tactical purchasing, material requirements planning, contr
  • Select transportation routes to maximize economy by combining shipments or consolidating warehousing

Technology

Business intelligence and data analysis softwareData base user interface and query softwareStorage networking softwareCloud-based management softwareProcedure management softwareMaterials requirements planning logistics and supply chain softwareObject or component oriented development softwareGraphics or photo imaging softwareInventory management softwareCalendar and scheduling software

Tools

Laptop computersLaser facsimile machinesPersonal computersRadio frequency identification RFID scanners

Work Values

IndependenceWorking ConditionsSupportAchievementRecognitionRelationships
Career Pathways

Occupations this program prepares you for

Auto-populated·from O*NET + BLS
Occupations matched to this program, with median wage, top wage, growth, and openings
SOCOccupationMethodWageGrowthOpenings
Match confidence: high15-2051.00Data Scientiststitle_inference$112,590 median$194,410 top+33.51%8,250
Match confidence: medium11-3071.04Supply Chain Managerstitle_inference———
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)

  • Enterprise-wide data science strategy and capability roadmap — define and champion, aligning analytical investments with long-term organizational objectives across all business units.
  • Organizational standards for model development, validation, and governance — establish and enforce, setting the technical direction that all data science practitioners follow.
  • Senior data scientists and cross-disciplinary teams — mentor and develop through structured coaching, performance feedback, and deliberate career growth planning.
  • Novel methodological approaches and innovative tool adoption — lead evaluation and institutionalization of, driving competitive differentiation through intellectual curiosity and calculated risk-taking.
  • Executive leadership and board-level stakeholders — advise by synthesizing complex analytical insights into strategic narratives that directly inform high-impact business decisions.
  • Partnerships with engineering, product, and domain leadership — orchestrate to embed data science solutions into core operational and product development workflows at scale.
  • Organizational risk posture for data, privacy, and algorithmic accountability — shape by developing policies and oversight mechanisms grounded in integrity and regulatory compliance.
  • Large-scale system overhauls and data platform modernizations — sponsor and govern, ensuring technical excellence and business continuity throughout multi-year transformation programs.
  • Talent acquisition pipelines and workforce development programs for data science — design and lead, ensuring the organization attracts and retains top-tier analytical professionals.
  • Firm-wide culture of evidence-based decision-making — cultivate by modeling rigorous critical thinking and championing data-driven practices at every level of the organization.

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