Master of Science in Robotics (MSR)
Designing the Future
By emphasizing both theory and practice, the MSR program is designed to meet the needs of professionals seeking advanced training as well as scholars who want to explore robotics through structured, guided instruction. Graduates of the MSR program will understand the fundamentals of robotics and be prepared to develop and deploy robotic devices.
Welcome to the
Master of Science in Robotics
The MSR program consists of 30 credit hours of graduate level coursework, and offers a Masters thesis track or a course-based only track. The curriculum consists of a core of six (6) required courses, and four (4) electives. The latter are selected from an approved list of graduate courses and are designed to provide the opportunity for specialization in particular academic subareas such as control, estimation, optimization, or machine learning.
Students interested in our full-time campus experience are able to complete all degree requirements below, including the optional thesis, in as little as 18 to 24 months. See admission requirements and application information below.
1. The following six courses are required (18 credits):
MEEG 621 Linear Systems
CISC 621 Algorithm Design and Analysis
MEEG 671 Introduction to Robotics
MEEG 678 Introduction to Autonomous Driving
CISC 642 Introduction to Computer Vision
MAST 632 Environmental Field Robotics
2. Students must choose four graduate level engineering electives (12 credits). These are pre-approved:
CISC 681 Artificial Intelligence
CISC 684 Introduction to Machine Learning
MEEG 620 Intermediate Dynamics
MEEG 677 Introduction to State Estimation
MEEG 698 Stochastic Optimal Control
MEEG 829 Applied Nonlinear Control
MEEG 877 Sensing and Estimation in Robotics
MEEG 890 Nonlinear Programming
MEEG 894 Linear Feedback Control Design
MEEG 895 Game Theory & Mechanism Design
If pursuing the thesis option, two of the electives are substituted for Master’s thesis credits. Graduate-level independent study can substitute for up to six (6) graduate elective credits along a non-thesis degree track. Independent study activities can take place outside the campus, in the context of semester-long internships with approved industry or government partners, but always under the supervision and oversight of a faculty member from the participating academic units, who will be ultimately responsible for assigning a grade for the course.
Through their choice of technical electives, students in the MSR program have the option to select from one of five academic concentrations, each of which involves a set of three related fundamental courses:
MEEG 621 (Linear Systems); MEEG 698 (Stochastic Optimal Control) or MEEG 894 (Linear Feed-back Control Design); MEEG 829 (Applied Nonlinear Control)
MEEG 621 (Linear Systems); MEEG 677 (Introduction to State Estimation); MEEG 877 (Sensing and Estimation in Robotics)
- Artificial Intelligence:
CISC 621 (Algorithm Design and Analysis); CISC 684 (Intro to Machine Learning); CISC 642 (Computer Vision)
MEEG 620 (Dynamics); MEEG 671 (Intro to Robotics); MAST 632 (Environmental Field Robotics)
CISC 621 (Algorithms); MEEG 895 (Game Theory and Mechanism Design); MEEG 890 (Nonlinear Programming)
Panagiotis (Panos) Artemiadis
Associate Professor & Graduate Program Director
Terri Connor Kelly and John Kelly Career Development Associate Professor
The requirements for admission to the MSR program are the following:
- A baccalaureate degree in mechanical engineering or in a closely allied field of science or mathematics. Applicants with degrees in other disciplines may be admitted with provisional status and may be required to complete prerequisite courses that are deemed necessary for appropriate preparation for courses in the program.
- An undergraduate grade point average in engineering, science and mathematics courses of at least 3.0 on a 4.0 scale.
- The Graduate Record Examination (GRE) combined Quantitative and Verbal score of 308 (1200). Waivers may be considered on a case-by-case basis, with documented approval by the Department of Mechanical Engineering’s Admissions Committee.
- International applicants: The TOEFL with a minimum of 100 on the IBT and a speaking score of 20. IELTS with a minimum score of 6.5 with no individual sub-score below 6.0 on the IELTS alternative.
- Three letters of recommendation from former teachers or supervisors.
- Statement of Purpose
All items should be uploaded into your graduate application (https://grad-admissions.udel.edu/apply/). Admission is selective and competitive based on the number of well qualified applicants and the research opportunities available with the faculty. Meeting the stated minimum academic requirements does not guarantee admission.
Robotics applications, from drones to automated vehicles and more, are surging in popularity as robotic devices become more sophisticated and accessible than ever before. The University of Delaware’s interdisciplinary Master of Science in Robotics program is answering the societal, government, and industry need for specialized education in this field.
Tuition & Deadlines
Tuition rates of all programs can be seen on the Graduate Office’s Tuition webpage.
MSR Fall admission:
January 31: Priority consideration for admission
July 31: Final deadline to apply
MSR Spring admission:
October 31: Priority consideration for admission
December 31: Final deadline to apply