Master of Science in Information Systems Engineering

at Shorelight Group - Johns Hopkins University USA

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.

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.

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

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!

Meet workforce demands with knowledge from Johns Hopkins Engineering’s challenging courses and a modern curriculum covering a broad range of topics in chemical and biomolecular engineering. From biotechnology to nanotechnology and the environment, studies in this master’s degree program will prepare you for leadership positions in multiple industries, including biopharma, energy, electronics, and green manufacturing for fuels and chemicals. Faculty are accomplished researchers, scientists, and practitioners. As a graduate, you will be well prepared to:

• Apply chemical engineering knowledge to solve pharmaceutical process problems, including understanding the constraints in regulatory requirements that affect drug development.
• Solve open-ended complex engineering problems in colloid and interfacial science.
• Demonstrate proficiency in using mathematical tools and formalism to problem solve.
• Take on advanced roles and progress as a leader in the field.

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 Systems Engineering program offers two degree distinctions—a Master of Science in Engineering (MSE) and a Master of Science (MS). There is no difference in the curriculum for the MSE and MS programs. Your undergraduate degree determines which degree you will earn.  In order to be admitted into the MSE program, you need a Bachelor of Science degree issued by a program accredited by the Engineering Accreditation Commission (EAC) of ABET.  If you do not meet this requirement (or you did not complete the prerequisites that met all of the EAC of ABET-accreditation requirements for attainment of student outcomes and for sufficient math, science, and engineering design at the Bachelor of Science level), you will earn a regionally accredited MS degree.

The flagship educational experience offered by Johns Hopkins University in the area of information security and assurance is represented by the Master of Science in Security Informatics (M.S.S.I.) degree. A wide range of courses is available in support of this unique and innovative graduate program.

The M.S.S.I. is a full-time day program offered on the Homewood Campus in North Baltimore. Most students complete the program in three full-time semesters though some graduate students may finish their degree part-time after completing the required two consecutive semesters of residency as a full-time student.

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.

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.