Columbus State University offers a Master of Science in Robotics Engineering designed for students seeking advanced expertise in intelligent systems, automation, and robotics. The interdisciplinary program provides a strong theoretical foundation and hands-on experience in areas such as image processing, artificial intelligence, machine learning, computer vision, robotic manipulator design and control, parallel robotics, medical robotics, unmanned aerial vehicles (UAVs), autonomous mobile robots, aerial manipulators, formation control, embedded systems, and microelectronics.

Students collaborate closely with faculty, including Associate Professor Mohammad Jafari, Professor Abiye Seifu, and Assistant Professor Qi Zou, on applied research and real-world engineering challenges. The curriculum includes foundational courses in computer vision, machine intelligence, kinematics and dynamics, microelectronic circuits, and embedded systems, with options for thesis or non-thesis research tracks. The program prepares graduates for careers in the robotics industry, further doctoral studies, or research roles in academia and industry.

Admission requires a Bachelor’s degree in Engineering, Physics, or a related field with a minimum CGPA of 3.0/4.0. Applicants must submit transcripts, a CV, and a statement of purpose, with optional recommendation letters and GRE scores. General graduate school requirements also apply. International applicants should consult the university’s international admissions guidelines.

Funding opportunities include a limited number of Graduate Teaching and Research Assistantships, awarded competitively based on merit and departmental needs. Some students may also qualify for tuition waivers. Assistantships are not guaranteed and funding details may vary.

The application deadline for Fall admission is June 30, 2026. Prospective students should apply online through the Columbus State University Graduate Admissions portal and ensure all required documents are submitted by the deadline. For more information, visit the program and faculty pages or contact the department directly.

Keywords: Robotics Engineering, Intelligent Systems, Automation, Artificial Intelligence, Machine Learning, Computer Vision, Embedded Systems, Microelectronics, UAVs, Autonomous Mobile Robots.