Master of Science in Engineering - Chemical and Biomolecular Engineering

at Shorelight Group - Johns Hopkins University USA

The Master of Arts (MA) in Geography and Environmental Engineering 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.

The MA in Geography and Environmental Engineering is a degree program open to students with undergraduate degrees in social sciences or the humanities. Three semesters of coursework are typically required to complete the degree and MA students have the option to complete an independent research project, submitted as a formal essay. Students can focus on one of the Department’s areas of interest or construct their own program that complements and expands their undergraduate experience.

Each individual’s program of study is planned by the student in consultation with department faculty and must be approved by the faculty adviser.

The MA degree is open to students with undergraduate degrees in social sciences or the humanities.

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.

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!

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.

Students in this degree program may follow requirements for a concentration in Nanotechnology or may choose electives to focus their studies in areas such as Biotechnology or Nanomaterials. However, a concentration or a focus area is not required for the program. Students can fulfill degree requirements taking courses in the Materials Science and Engineering Program along with materials-related courses from other Engineering for Professionals programs.

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 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 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.