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  1. Programs
  2. UNMANNED AIRCRAFT SYSTEMS

UNMANNED AIRCRAFT SYSTEMS

Kansas State University

Post-Baccalaureate Certificate

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

  • Manhattan, Kansas

    919 Mid-Campus Drive, Anderson Hall, Manhattan, Kansas, 66506

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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 19-4099.03

Skills

Critical ThinkingReading ComprehensionSpeakingMathematicsActive ListeningMonitoringSystems AnalysisJudgment and Decision Making

Knowledge

GeographyComputers and ElectronicsMathematicsCustomer and Personal ServiceEngineering and Technology

Abilities

Problem SensitivityDeductive ReasoningInformation OrderingOral ComprehensionOral ExpressionInductive ReasoningNear VisionWritten ComprehensionWritten ExpressionSpeech Clarity

Tasks

  • Collect geospatial data, using technologies such as aerial photography, light and radio wave detecti
  • Verify integrity and accuracy of data contained in remote sensing image analysis systems.
  • Integrate remotely sensed data with other geospatial data.
  • Operate remote sensing equipment on drones to collect data in areas that are difficult to access or require high-resolution imagery.

Technology

Graphics or photo imaging softwareCharting softwareAnalytical or scientific softwareProject management softwareWeb platform development software

Tools

Airfield lighting equipmentAnemometersDJI GS ProDesktop computersDigital camerasDroneDeployField computersFixed wing unmanned aerial vehicles UAVGamma ray scintillometersGeophysical magnetometersGlobal positioning system GPS devicesGlobal positioning system GPS receiversGround control targetsHyperspectral imaging equipmentLanding pad

Work Values

SupportWorking ConditionsAchievementIndependenceRelationshipsRecognition
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: medium19-4099.03Remote Sensing Technicianstitle_inference———
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)

  • Complex geospatial data collection campaigns — plan and execute autonomously across multiple sensor modalities including SAR, hyperspectral, and thermal systems in diverse field and aerial environments.
  • End-to-end data integrity validation pipelines — design and conduct across full remote sensing image analysis workflows, resolving non-routine errors in large-scale or time-sensitive projects.
  • Multi-source geospatial data fusion — perform independently by integrating satellite, airborne, and ground-truth datasets using advanced analytical software to produce authoritative spatial products.
  • Non-standard image processing challenges — diagnose and resolve by selecting and customizing processing routines within expert system and analytical software environments on high-complexity deliverables.
  • Large-area photo mosaics spanning regional extents — construct and quality-control by managing radiometric normalization, feathering, and seamline optimization across high-volume image datasets.
  • In-flight and ground-level raw data manipulation — execute with full autonomy to correct sensor artifacts and environmental interference, maintaining data fidelity under variable field conditions.
  • Mapping project architectures — develop from scope through delivery by defining sensor selection, flight planning parameters, processing workflows, and output specifications for interdisciplinary teams.
  • Remote sensing scientists, engineers, and external clients — consult with and advise proactively to align technical capabilities with project objectives, resolving scope and data quality conflicts.
  • Systems analysis of geospatial technology stacks — perform to evaluate performance gaps, recommend software or hardware upgrades, and optimize data pipelines across organizational projects.
  • Critical technical findings and methodology recommendations — communicate through written reports and oral presentations to scientific and non-technical audiences in regulatory or commercial project contexts.

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