Master of Science in Engineering - Robotics

at Shorelight Group - Johns Hopkins University USA

Johns Hopkins Engineering for Professionals Electrical and Computer Engineering online, part-time master’s program is one of the largest in the country. And our highly regarded program is one of the best, ranked #5 by U.S. News & World Report.

We value the opportunity to create a hands-on experience. That’s why each student can remotely connect to equipment on campus to conduct measurements. We offer a wide breadth of courses to align with your area of expertise and interests, from computer engineering to satellite communications (instructed by a professor involved in NASA’s New Horizons Pluto mission) to systems and controls.

From a thorough grounding in foundational topics such as electromagnetics, electronic devices, and systems theory, to building the hardware and software architectures of next-generation mobile platforms, students gain valuable skills and knowledge and will be able to:

• Demonstrate the ability to apply advanced electrical and computer engineering theory and methods to translate functional system descriptions into component-level designs and structures.
• Demonstrate the ability to design and conduct experiments or simulations, as well as analyze and interpret the results.
• Demonstrate proficiency in the use of advanced mathematical and analytical techniques and modern engineering tools necessary for engineering practice.

Each graduate student will normally have one or more faculty advisors. Students who are entering the M.S.E. program and plan to pursue a degree without an essay will be assigned an academic advisor. Students who are entering the M.S.E. program and plan to pursue a degree with an essay will be advised by their research advisor. Students who are entering the Ph.D. program will be advised by their research advisor. Students with a research advisor in another department will be assigned an internal academic advisor from among the full-time faculty in the department. Student progress will be assessed regularly by the faculty advisor(s) and the Graduate Program Committee. Students are expected to remain in regular communication with their faculty advisor(s).

Each student’s progress will be reviewed annually by the Graduate Program Committee, in consultation with the student’s advisor(s). To assist in this evaluation, students are required to submit a form (available from the academic program coordinator) detailing progress toward completion of the degree requirements. This form must be signed by the student’s advisor(s) and filed with the Graduate Program Committee each year. The department must be convinced that all academic requirements have been satisfied by the candidate before a recommendation to confer a graduate degree is passed on to the University Graduate Board.

Grade requirements for graduate course work differ according to the degree program, as described below. All graduate students are required to maintain an overall grade point average (GPA) of 3.0 or higher; failure to do so will ordinarily be cause for dismissal from the program. Independent research courses will not be counted toward completion of course requirements.

The department believes that teaching experience is important to professional growth; therefore, a student may be required to serve as a teaching assistant during his or her academic career.

A track must be chosen for this program:  Applied Biomedical Engineering; Applied and Computational Mathematics; Applied Physics; Civil Engineering; Computer Science; Cybersecurity; Data Science; Electrical and Computer Engineering; Healthcare Systems Engineering, Information Systems Engineering; Materials Science and Engineering; Mechanical Engineering; Space Systems Engineering; Structural Engineering; Systems Engineering; and Technical Leadership.        

The part-time Engineering Management program prepares ethically grounded, technically competent professional leaders with the technical, managerial, and leadership skills to produce innovative solutions to technical organizations’ challenges. While management courses serve as the core of the program at Johns Hopkins Engineering for Professionals, students work within specialty tracks that span various engineering disciplines or within a technical leadership track. The tracks provide for graduate-level work giving students a unique opportunity to mix their chosen track with engineering management perspectives.For students pursuing a career in the systems acquisition, systems development, or a production domain as a project manager, program manager, or aspirations for general management, the Technical Leadership track is oriented for you. For the functional manager who wants to further develop a mix of management and technical skills, the specialty tracks advance technical skills in your chosen area while enhancing your ability to manage and supervise technical personnel. The curriculum provides a unique opportunity to build both technical and leaderships skills in order to contribute to a multi-disciplinary engineering management team. Instructors are experienced technical leaders and executives who discuss real-world challenges in formats that are convenient for professionals working at the nation’s top engineering firms and R&D organizations.

Courses are offered in person at the Applied Physics Laboratory as well as in the distant learning environment.

Customize your online master’s degree in management information systems as part of the Johns Hopkins Engineering for Professionals program and select from focus areas that span multiple disciplines. Narrow your focus to information systems, including Human-Computer Interaction, Information Management, and Software Engineering. With senior executives from the Johns Hopkins Physics Lab and other industry leaders as key faculty members, prepare to:

• Develop processes and components of large-scale information systems
• Transform information to discover relationships and insights into complex data sets
• Integrate theory and application in your current and future job responsibilities
• Learn on your terms and select a flexible course schedule in a format that works best for you

The Center for Bioengineering Innovation and Design (CBID), housed in the Department of Biomedical Engineering, focuses on the design aspect of Biomedical Engineering. This exciting program gives students opportunities to design, develop, build, and test devices that solve some of the most pressing problems facing clinicians today.

The mission of CBID is to:

• Improve human health by developing medical devices that solve important clinical problems
• Educate a new generation of medical device engineers and fellows
• Facilitate technology transfer and industry collaboration

In the graduate program CBID students will learn to identify clinical needs and innovate a novel solution to solve that clinical problem. Working in teams, students work closely with engineering faculty and physicians throughout the medical institution to come up with device ideas, build prototypes, research intellectual property, learn about the regulatory process, write business plans, and present their designs to fellow students, faculty, and outside advisors.

Undergraduate students in BME can also become involved in medical device design by joining an undergraduate design team which works on solving clinical problems by designing innovative devices.

Incorporated in all the BME design curriculum is a focus on technology commercialization. All students, graduate and undergraduate, will interact with clinical and corporate sponsors and have experiences that promote the development of leadership, communications, and marketing skills, thus helping to ensure our graduates’ professional success.

Students may elect to work toward the master of science in engineering (M.S.E.) degree in applied mathematics and statistics. All master’s degrees in the Department of Applied Mathematics and Statistics ordinarily require a minimum of two semesters of registration as a full-time resident graduate student.

he Master of Science in Engineering in Robotics (Robotics MSE) program at Johns Hopkins University is designed to advance interdisciplinary robotics knowledge in students coming from a wide variety of engineering, scientific, and mathematical backgrounds.

Johns Hopkins University recognizes the growing need in industry for engineers with the broad multi-disciplinary training and fundamental knowledge needed to develop and deploy advanced robotics systems that function effectively in the real world.

Johns Hopkins University’s broad interdisciplinary approach to robotics research makes it uniquely situated to offer such a comprehensive program. The Laboratory for Computational Sensing and Robotics (LCSR), with its reputation as one of the top robotics research sites in the world, particularly in the area of medical robotics, is pleased to offer this MSE in Robotics

Our Master of Science and Engineering (M.S.E.) Programs develop a sound understanding of the scientific principles upon which engineering research and practice are based. Different aspects of learning are integrated through classroom, laboratory instruction, and independent study experiences. Graduates of the programs possess critical thinking skills, the ability for both independent and team problem-solving, and a sense of the excitement of engineering creativity and design. The programs also develop communication skills necessary for the graduates to function in teams and to deal with other professions in public and private arenas. Their progressive education furthers student understanding of the context in which engineering is practiced in modern society. Our Master’s programs combine fundamental training with real-world experience. Thus, the programs educate leaders for tomorrow, providing the tools and perspectives for a lifetime of learning, opportunities, and professional advancement. Build your knowledge base with coursework in systems, mechanics, structures, computational methods, and uncertainty quantification. Apply that knowledge in our externship program while you network with professional engineers and gain valuable experience with your dream employer.

CaSE currently offers two MSE degree options:

• Civil Engineering –  focus on mechanics of materials, probabilistic methods, fire engineering, earthquake engineering, infrastructure design for resilience
• Systems Engineering – focus on network modeling, mathematical modeling, optimization, analysis of complex infrastructure systems, public health, urban resilience

Typically limited financial support is available for M.S.E. students. Funding decisions will be made on an individual basis by the Department of Civil and Systems Engineering and will be communicated during the admissions process.

The Data Science Master’s degree at the Johns Hopkins University will provide the training in applied mathematics, statistics and computer science to serve as the basis for an understanding, and appreciation, of existing data science tools.  Our program aims to produce the next generation of leaders in data science by emphasizing mastery of the skills needed to translate real-world data-driven problems in mathematical ones, and then solving these problems by using a diverse collection of scientific tools

The final Capstone Experience in Data Science (EN.553.806) is a research-oriented project which must be approved by the research supervisor, academic advisor and the Internal Oversight Committee.  The Capstone Experience can be taken in multiple semesters, but the total number of credits required for successful completion is six (6). The goal of the final course and written paper is to allow the student to apply data analysis techniques learned in the program, and possibly to extend those ideas to more general settings or to new application areas.  Lastly, the paper will be summarized in a poster session organized at the end of each semester.

The department offers a variety of options to earn the master's degree, known as the Masters of Science and Engineering degree in Mechanical Engineering.

Essay Option
Students writing an essay will successfully complete a coordinated sequence of eight courses and graduate research, and submit a master’s essay (sometimes known as a “thesis”). The degree typically requires three to four semesters of study.

There are two options to complete the essay:

• Conduct Laboratory Research
  • Work with world-renowned engineering professors by conducting original research to produce an essay worthy of publication.
  • Learn more about the Research option here!
• Work in a Cooperative Educational Environment (Co-Op)
  • To broaden the practical training for master’s students, the Institute for Nanobiotechnology (INBT) teams with companies to provide an immersive master’s industry “co-op” experience in a professional working environment. Goals and objectives are developed for the student in conjunction with faculty and INBT academic advisors, which will be used to complete the master’s essay.
  • Learn more about the Co-Op program here!