Career and Academic Opportunities

The Master of Science in Intelligent Robotic Systems is a multi-disciplinary degree that prepares students to work in automation, advanced manufacturing, and robotics.  The degree follows naturally from the Bachelor of Science in Electrical Engineering.  The accelerated pathway will give students a unique preparation for advanced positions, such as control system engineer, design engineer, or instrumentation engineer.

The Master of Science in Intelligent Robotic Systems is a multi-disciplinary degree that prepares students to work in automation, advanced manufacturing, and robotics.  The degree follows naturally from the Bachelor of Science in Electrical Engineering.  The program in Intelligent Robotic Systems teaches students advanced topics such as control of autonomous robotic arms, simulation, the Robot Operating System (ROS), machine learning, and computer vision.  Graduates can find jobs in robotics, automation, or biomedical systems.  The accelerated pathway will give students a unique preparation for advanced positions, such as control system engineer, design engineer, or instrumentation engineer.

Graduate Program Information

Salary and Career Information

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Admission Requirements


Double Owl Admission Requirements 
  • 成人直播 GPA of at least 3.20
  • 60 hours completed towards a bachelors degree
  • 12 hours completed in residence at 成人直播

Double Counted Courses

 

Suggested Timeline

成人直播 to Double Owl early in Junior year. 成人直播 to Graduate Program in Senior Year by posted graduate program deadline.

Accepted Double Owl students will need to apply to their Graduate Program by the posted deadline for the semester immediately following graduation with the bachelor鈥檚 degree.

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Contact Information

Undergraduate Information

Contact Information
msrobotics@kennesaw.edu

Undergraduate Degree
Electrical Engineering, BS

Department/College
Department of Electrical and Computer Engineering

Advising contact
Yousef Mahmoud, associate professor
ymahmoud@kennesaw.edu

Graduate Information

Graduate Degree
Intelligent Robotic Systems, MS

Department / College
Department of Robotics and Mechatronics Engineering

Advising Contact
Matt Marshall, professor
mqm@kennesaw.edu