This program is designed to quickly prepare students for entry-level careers in the growing field of small unmanned aircraft systems (sUAS) data collection. The program focuses on developing key competencies in the operation of sUAS for capturing and processing geospatial data. Students will gain hands-on experience with advanced active and passive sensors.

In addition to technical training, the program provides essential knowledge in image analysis, leveraging artificial intelligence, and ensuring data security. The curriculum is geared toward practical application, including off-campus fieldwork that allows students to apply their skills in real-world scenarios.

Students will be well-prepared to sit for the Federal Aviation Administration’s Unmanned Aircraft General – Small (UAG) examination, leading to the Remote Pilot Certificate with a Small Unmanned Aircraft Systems Rating, which permits commercial drone operations under 55 lbs. in the National Airspace System.

This intensive program is ideal for those seeking to quickly enter the workforce with specialized skills in sUAS data collection. Additionally, the courses completed in this program can be applied toward an Associate in Applied Science degree.

Upon completion of this program students will be able to:

• Pass the FAA Unmanned Aircraft General – Small (UAG) exam and apply the privileges of the Remote Pilot Certificate with a Small Unmanned Aircraft Systems Rating in professional settings;
• Execute and manage remote sensing missions using sUAS to collect geospatial data, demonstrating an understanding of the principles and techniques of remote sensing across various applications;
• Utilize GIS software to analyze, manage, and present spatial data collected from sUAS missions, integrating geospatial data into actionable insights;
• Analyze aerial imagery using advanced techniques, including artificial intelligence, to extract meaningful information and support decision-making processes;
• Implement advanced data collection methodologies using sUAS, including the operation of passive and active sensors for specialized data acquisition.

 For additional information, please contact faculty advisor, Anthony Esposito, or department chair, Dr. Otto Hernandez.

Program Requirements

(ZUAA - FALL 2025)