An interdepartmental program, the Master of Science in Robotics (MSR) is a 12-15 month, full-time graduate program that equips students with the tools required of a robotics engineer. Robotics is a cutting-edge field that is forecasted to grow substantially over the next 20 years. It is also a broad field requiring engineers to have expertise in computer science, mechanical engineering, electrical engineering, biomedical engineering, and mathematics. However, most undergraduate programs focus on only one of these areas. This program is designed to provide intense, hands-on training to bridge the knowledge and experience gap between an undergraduate engineering degree and a career in robotics.
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- Program Duration
- The Cohort Model
- Who Should Apply
- Industrial Collaboration and Internships
- Project Portfolios
The program requires four quarters of enrollment in four course units each quarter for a total of sixteen units. The program can be completed on either a 12- or 15-month schedule, depending on whether the student chooses to participate in an internship during the summer quarter.
The Cohort Model
The MSR program operates following a cohort model, in which all of the students begin the program in the fall, and then work closely with each other and the program administration on coursework, projects, and professional development.
Benefits of the cohort model
- The program is able to adapt to the individual interests and needs of each of the students while appropriately matching students with projects based on their interests and skills.
- Having a small group who are all on the same schedule allows the MSR director and assistant director to have weekly meetings with the cohort focused on developing both professional and technical skills.
- Students build a strong professional network with their peers while in the program.
- The cohort model also helps to foster positive social interactions. Some cohorts have held weekly, self-organized meetings in which the students give presentations aimed at educating their peers about their life experiences and areas of expertise. The cohort has organized intramural sports teams and a range of other extracurricular activities in and around Evanston and Chicago.
Who Should Apply
The program is aimed at outstanding students who have already completed a bachelor of science in engineering or a related field and are seeking a career in robotics. While some students enter the program with years of work experience in a range of industries, many students join directly after finishing their undergraduate education. Possible undergraduate majors include computer science, as well as mechanical, electrical, or biomedical engineering. Students are strongly encouraged, but not required, to have programming experience in C, C++, and Python prior to enrolling. Programming experience will facilitate participation in upper-division courses in the Department of Electrical Engineering and Computer Science that have programming prerequisites. Students with less programming background will be presented with supplementary instruction during the fall term.
The program features a combination of traditional courses and in-depth, project-based work.
Course subject areas
- automatic control
- kinematics and dynamics
- machine learning
- path planning
- human-machine interfaces
- biomedical engineering
- robotic rehabilitation
Robotics research projects
The program features a series of open-ended, project-oriented experiences provided by faculty-led, independent research work and through courses such as Embedded Systems in Robotics. Students will have the opportunity to participate in a diverse set of robotics research projects with faculty from all over Northwestern, in addition to working with the Neuroscience and Robotics Laboratory, a world leader in robotics, haptic interfaces, and biomedical engineering. Project areas include multi-robot systems, robotic manipulation, haptics, simulation and control of multibody systems, swarm robotics, bio-inspired sensing and control, and prosthetics engineering.
Industrial collaboration and internships
Industrial ties are an essential part of the program. The program features seminars, networking events, and projects from leading industrial partners. Additionally students will be encouraged to participate in industrial internships.
Students will create an online project portfolio detailing the projects they complete as part of the program. These portfolios may be used for evaluating student performance in courses, and will provide the student with an ideal tool to showcase their work for potential employers or PhD schools.
The faculty associated with the MSR program come from a range of departments at Northwestern and are active in relevant areas such as machine learning, haptics, simulation, control, rehabilitation robotics, and bio-inspired robotics. The faculty both teach program courses and act as potential advisers for the Final Project.