A Neuroengineering Ph.D. student will follow one of two tracks:

• Sequential Curriculum - The students fulfill their life/biological sciences requirement by taking the first year medical school courses. They fulfill the math/engineering requirements in the second year. This curriculum is well suited for the students who want to obtain strong life science and clinical science perspective.
• Blended Curriculum - The students take a mix of math/engineering and life science courses throughout the first two years. This curriculum is well suited for the students who want to maintain strong engineering or basic science perspective.

Students enrolled in either track will be expected to take courses for two years, provide teaching assistance services in the third and the fourth years (funded by the departments) and do research from years 2 and until completion of the thesis.

NeuroEngineering Core Curricula

We propose to establish a core curriculum for the students in the Neuroengineering Training Program. Until now, we have relied on general guidelines for the program with emphasis on 1) neuroscience coursework or medical school coursework, 2) expectation of mathematical training, and 3) concentration or topic area courses defined and recommended by the advisors. We recognize that to provide stronger foundations and focus for the program, a core curriculum consisting of ~one third of the courses (i.e. rather than the math and area engineering electives) would be very desirable. Hence, we have developed a core curriculum tabulated below that provides sufficient rigor and uniformity along with flexibility that prepares the students for the different concentration areas; in each area there are two recommended course sequences.

Objective	Course Titles	Course Number
Introductory Courses in Neuroscience (Cellular, Molecular & Systems)	Neuroscience and Cognition I Neuroscience and Cognition II Or Models of the Neuron 1st Year Medical School Sequence: Molecules and Cells, Immunology, Neuroscience, and Physiology (Do not have to take all)	ME440.811 ME440.812 EN580.639
Statistics and Applied Math	School of Applied Math & Statistics: Introduction to Probability Introduction to Stochastic Processes Introduction to Statistics Applied Statistics and Data Analysis OR JHU School of Public Health - BioStats Biostatistics: Statistical Theory OR JHU School of Engineering Applied Math for Engineering
Neuroengineering Concentration Areas	Numerous Classes Offered From the Departments of: Biomedical Engineering Neuroscience Medicine Otarlaryngology Electrical Engineering Chemical & Biomolecular Engineering Material Science & Engineering etc... Medical Imaging Systems Theoretical Neuroscience Cellular & Molecular Instrumentation Learning Theory Microfabrication Systems Neuroscience Computational Neuroengineering Clinical Neuroengineering

PhD Schedule

The table below depicts a typical flowchart of milestones in the PhD process at Johns Hopkins University.

Year(s)	Academic Responsibilities
1-2	Course Requirements in Neuroengineering; Basic Science Courses (16 hrs) Engineering Courses (16 hrs) Up to 3 research rotations, including one clinical rotation Participation in at least one national conference each year
2	Graduate Board Orals (GBO; Prelims) (summer) Presentation at annual retreat NIH style grant (between year 2-3) Fellowship application(s) Lab Research
3-4	Independent Lab Research Thesis proposal Presentation at a national conference
5-6 (avg duration is 5.8)	Research completion; thesis defense Publication of research

Additional details regarding Neuroengineering curriculum & program can be found here.