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  1. Programs
  3. Unmanned Aerial Systems Technology

Unmanned Aerial Systems Technology

Coastal Pines Technical College

CertificateAcademic

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

The Unmanned Aerial Systems Technology TCC provides students the opportunity to expand their Electrical and Computer Engineering training with the basic skills to repair and operate Unmanned Aerial Vehicles, also known as Drones. The completion of this certificate shows employers that progress has been made in the program and basic skills have been achieved.

Credits

17 credits

Format

In-Person

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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

  • Georgia

    Georgia

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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: developing (Level 2)(based on Certificate)

  • Aerial and satellite imagery acquisition — coordinate and execute using LiDAR, multispectral, and thermal sensor platforms with reduced oversight on routine mapping assignments.
  • Remote sensing image analysis system outputs — verify integrity and accuracy independently by applying quality assurance procedures and resolving common data anomalies.
  • Remotely sensed data layers — integrate with GIS datasets routinely by selecting appropriate coordinate reference systems and resampling methods in analytical software environments.
  • Image enhancement routines — select and apply within graphics and analytical software to optimize classification accuracy and visual interpretation for standard project deliverables.
  • Photo mosaics of moderate geographic extents — build by merging scanned image datasets using image processing software with attention to seamline quality and radiometric consistency.
  • Raw flight and sensor data — manipulate in-field or post-mission to correct for atmospheric effects and geometric distortions in support of client deliverable timelines.
  • Mapping project requirements — contribute to planning discussions by presenting technical assessments of sensor suitability and data coverage to project teams and scientists.
  • Interdisciplinary project stakeholders — consult with surveyors, cartographers, and engineers routinely to clarify data needs and resolve minor technical discrepancies on active projects.
  • Analytical and scientific software tools — apply to perform quantitative analysis of remotely sensed indices such as NDVI or land surface temperature in environmental study contexts.
  • Technical reports summarizing data acquisition and processing results — write clearly and accurately for review by senior scientists and project managers on multimonth deliverable cycles.

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

Auto-populated·from Scorecard + DOL
Completion Rate
71%
Placement Rate
24%