Robotics (MS)

Program Educational Goals:

The objective of the graduate Master of Science in Robotics program at the University of Delaware is to produce graduates with a strong foundation in the science of robotics and autonomous systems, enabling them to lead successful careers, to pursue advanced degrees, and to contribute to the profession and the society at large, by advancing the quality of life and work through robotic technologies.

Graduates of the Master of Science in Robotics program will be able to:

• Design, develop and control robotic and autonomous systems found in application areas such as manufacturing, transportation, aerospace, defense, and healthcare.
• Apply fundamental knowledge of dynamics, perception, machine learning, decision and control in semi-autonomous and fully autonomous systems found in a variety of applications shaping the future of life and work.
• Contribute to engineering knowledge, the profession, and the community through original research, technology development, and service in the areas of robotics and autonomous systems.
• Work effectively on multidisciplinary teams to solve complex engineering problems related to control systems, perception, autonomy and robotic technologies.

Required Courses:

The MSR program requires thirty (30) credit hours of graduate level coursework, and offer a Master Thesis or a course-based only track. Under the Master Thesis track, six (6) of the thirty (30) total credits must be Master’s Thesis credits. Coursework must be completed with a grade point average of 3.0 or higher.

The program curriculum includes six (6) required courses (18 credits). Students pursuing the thesis option can request to count 6 credits of Master’s Thesis towards the required course credits.

• CISC 621 - Algorithm Design and Analysis Credit(s): 3
• CISC 642 - Introduction to Computer Vision Credit(s): 3
• MAST 632 - Environmental Field Robotics Credit(s): 4
• MEEG 621 - Linear Systems Credit(s): 3
• MEEG 671 - Introduction to Robotics Credit(s): 3
• MEEG 678 - Introduction to Autonomous Driving Credit(s): 3

Elective Courses:

Twelve credits from the following:

• CISC 681 - Artificial Intelligence Credit(s): 3
• CISC 684 - Introduction to Machine Learning Credit(s): 3
• MEEG 620 - Intermediate Dynamics Credit(s): 3
• MEEG 677 - Introduction to State Estimation Credit(s): 3
• MEEG 698 - Stochastic Optimal Control Credit(s): 3
• MEEG 829 - Applied Nonlinear Control Credit(s): 3
• MEEG 877 - Sensing and Estimation in Robotics Credit(s): 3
• MEEG 890 - Nonlinear Programming Credit(s): 3
• MEEG 894 - Linear Feedback Control Design Credit(s): 3
• MEEG 895 - Game Theory & Mechanism Design Credit(s): 3

Last Revised for 2020-2021 Academic Year