MS Robotics and Autonomous Systems
Design next-generation technology with a Master of Science in Robotics and Autonomous Systems at UCF. Intelligent systems power our world, from self-driving cars and robots in manufacturing to unmanned aerial vehicles and robotic-assisted surgery. UCF’s Master of Science in Robotics and Autonomous Systems will help you analyze, design and develop emerging robotic and autonomous platforms that are increasingly becoming part of human society.
You’ll study technologies and concepts from multiple disciplines spanning electrical and electronic hardware, autonomous control, computer vision, machine learning, manipulation, mechatronics, autonomous vehicles and medical robotics.
The interdisciplinary degree program is powered by UCF’s tremendous expertise in its research centers. You’ll learn and conduct research with faculty from the Institute for Simulation and Training, Center for Research in Computer Vision, the Artificial Intelligence Initiative, Biionix and the Disability, Aging and Technology cluster.
Upon graduation, you’ll have a firm foundation in computer vision, machine learning and control systems and will be able to design the hardware and program the software for a mobile robot.
The Master of Science in Robotics and Autonomous Systems (MSRAS) offers the skills necessary to analyze, design and develop emerging robotic and autonomous platforms that are increasingly becoming part of human society. These platforms embody technologies and concepts from multiple disciplines spanning electrical and electronic hardware, autonomous control, computer vision, machine learning, manipulation, mechatronics, autonomous vehicles, and medical robotics. The MS degree is a 30-credit hour graduate program that offers a thesis option. Thesis students can replace 6 credit hours of technical electives with thesis credits. There are 4 required courses of 3 hours each from Perception, Cognition, Action, and Hardware areas (thus totaling 12 credit hours). The remaining 6 additional courses (18 credit hours) must be selected from a list of restricted electives, each of which is 3 credit hours. No thesis is required, but one can be completed and will count for 6 credit hours of restricted electives.
For admission, a 3.0 GPA and an undergraduate degree in Engineering, Computer Science, Mathematics, Statistics, or Physics is preferred.
Year
Semester
Course Number
Course Name
Credits
Prerequisites
1
Fall
CAP 5415
Computer Vision
3
COP 3503C, MAC 2312 and COT 3960.
1
Fall
CAP 5610
Machine Learning
3
CAP 4630 or C.I.
1
Spring
CAP 6671
Intelligent Systems: Robots, Agents, and Humans
3
CAP 5610 or C.I.
1
Spring
CAP 6411
Computer Vision System
3
CAP 5415
1
Summer
CAP 6908
Independent Study 1
3
2
Fall
EEL5669
Introduction to Robotics and Autonomous Vehicles
3
EEL 5173 or C.I.
2
Fall
CAP 6419
3D Computer Vision
3
CAP 5415 or EEL 5820 or C.I
2
Spring
EAS 5407C
Mechatronic Systems
3
EML 3034C
2
Spring
CAP 6614
Current Topics in Machine Learning
3
CAP 5610 or C.I.
2
Summer
CAP 6908
Independent Study 2
3
Design next-generation technology with a Master of Science in Robotics and Autonomous Systems at UCF. Intelligent systems power our world, from self-driving cars and robots in manufacturing to unmanned aerial vehicles and robotic-assisted surgery. UCF’s Master of Science in Robotics and Autonomous Systems will help you analyze, design and develop emerging robotic and autonomous platforms that are increasingly becoming part of human society.
You’ll study technologies and concepts from multiple disciplines spanning electrical and electronic hardware, autonomous control, computer vision, machine learning, manipulation, mechatronics, autonomous vehicles and medical robotics.
The interdisciplinary degree program is powered by UCF’s tremendous expertise in its research centers. You’ll learn and conduct research with faculty from the Institute for Simulation and Training, Center for Research in Computer Vision, the Artificial Intelligence Initiative, Biionix and the Disability, Aging and Technology cluster.
Upon graduation, you’ll have a firm foundation in computer vision, machine learning and control systems and will be able to design the hardware and program the software for a mobile robot.
The Master of Science in Robotics and Autonomous Systems (MSRAS) offers the skills necessary to analyze, design and develop emerging robotic and autonomous platforms that are increasingly becoming part of human society. These platforms embody technologies and concepts from multiple disciplines spanning electrical and electronic hardware, autonomous control, computer vision, machine learning, manipulation, mechatronics, autonomous vehicles, and medical robotics. The MS degree is a 30-credit hour graduate program that offers a thesis option. Thesis students can replace 6 credit hours of technical electives with thesis credits. There are 4 required courses of 3 hours each from Perception, Cognition, Action, and Hardware areas (thus totaling 12 credit hours). The remaining 6 additional courses (18 credit hours) must be selected from a list of restricted electives, each of which is 3 credit hours. No thesis is required, but one can be completed and will count for 6 credit hours of restricted electives.
For admission, a 3.0 GPA and an undergraduate degree in Engineering, Computer Science, Mathematics, Statistics, or Physics is preferred.
Year
Semester
Course Number
Course Name
Credits
Prerequisites
1
Fall
CAP 5415
Computer Vision
3
COP 3503C, MAC 2312 and COT 3960.
1
Fall
CAP 5610
Machine Learning
3
CAP 4630 or C.I.
1
Spring
CAP 6671
Intelligent Systems: Robots, Agents, and Humans
3
CAP 5610 or C.I.
1
Spring
CAP 6411
Computer Vision System
3
CAP 5415
1
Summer
CAP 6908
Independent Study 1
3
2
Fall
EEL5669
Introduction to Robotics and Autonomous Vehicles
3
EEL 5173 or C.I.
2
Fall
CAP 6419
3D Computer Vision
3
CAP 5415 or EEL 5820 or C.I
2
Spring
EAS 5407C
Mechatronic Systems
3
EML 3034C
2
Spring
CAP 6614
Current Topics in Machine Learning
3
CAP 5610 or C.I.
2
Summer
CAP 6908
Independent Study 2
3
