Master of Science in Information Systems Engineering

at Shorelight Group - Johns Hopkins University USA

The Occupational and Environmental Hygiene, Master of Science program is accredited by the Accreditation Board for Engineering and Technology (ABET) Applied and Natural Science Accreditation Commission (ANSAC) and is designed to prepare students to pass the Certified Industrial Hygienist (CIH) examination administered by the American Board of Industrial Hygiene (ABIH).

All Occupational and Environmental Hygiene, Master of Science core curriculum courses are offered through the Bloomberg School of Public Health, so students will need to follow this academic calendar.

The Bloomberg School of Public Health operates on a term system rather than a semester system. There are 4 numbered terms in the regular academic year as well as a summer institute and a winter intersession. The academic terms are 8 weeks in length and the institutes/intersessions are 2 weeks each. Part-time/Online Occupational and Environmental Hygiene, Master of Science students are required to come to campus for courses that do not translate to an online format (laboratory and field trip-based courses). These courses are held during the summer institute and winter intersession. Students will attend 2 summer institutes and one winter intersession over the course of their degree program.

Students must be employed in the industrial hygiene or safety fields since all students are required to complete an independent professional project as part of their degree and in most instances, this is completed at the student’s place of employment.  

Prior education must include (1) an undergraduate degree from a regionally accredited four-year college or university, (2) successful completion of college-level courses in biology, chemistry, calculus and physics.

Applicants whose prior education does not include the prerequisites listed above may still enroll under provisional status, followed by full admission status once they have completed the missing prerequisites. Courses completed at a local community college are acceptable. 

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.

The financial mathematics master’s program at Johns Hopkins is offered through the Department of Applied Mathematics and Statistics as a Master’s of Science in Engineering (MSE) degree. The program takes three semesters to complete, with students starting in the later summer and finishing in mid-December. Students with a strong quantitative undergraduate background are encouraged to apply for admission to the program.

The Master’s program in Financial Mathematics will provide a solid foundation in applied mathematics, providing the basis for an understanding and appreciation of existing models commonly used in financial applications and inferential and computational tools for developing their solution.  The program will also furnish the appropriate insights in Finance where quantitative skills are most germane. The combination of these elements will create a springboard for addressing today’s quantitative challenges in finance as well as provide the preparation to meet the challenges of the future.

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 Master of Science in Geography and Environmental Engineering (MS) is housed in the Whiting School of Engineering (WSE) on the Homewood campus. Students in this Program have the unique opportunity to take classes on both the WSE Homewood and JHSPH East Baltimore campuses in order to complete their degree requirements.

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.

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.

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!

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.