AI in Medicine
MSE Candidate Attributes
To be considered for admission, students should hold a bachelor’s degree in engineering or a basic science discipline. Other exceptional students may be considered for admission, but if admitted, may be required to take a number of courses to overcome deficiencies in their curriculum. Regardless of the specific degree, the applicant should have completed a balanced program in college-level physics, chemistry, mathematics, and biology.
With each applicant, the admissions committee considers the undergraduate academic record, letters of recommendation, results of Graduate Record Examinations (required), and overall motivation of the individual to pursue graduate studies. The average GPA of admitted students is typically 3.7 or higher (on a 4.0 scale), and research experience is an asset for selection into the thesis-track option (which takes place after a student is admitted to and enrolls in the program). All interested students are encouraged to apply.
Medical students, residents, and clinical trainees are eligible for the AI in Medicine focus area. GRE scores are not required for these candidates. Because medical trainees come from diverse educational backgrounds, the AI in Medicine curriculum provides the flexibility required to meet individualized needs.
Information on tuition, financial aid options, and living expenses are available by visiting Graduate & Postdoctoral Affairs. Incoming students are encouraged to seek student employment opportunities to offset the cost of attendance through Student Employment Services. BME-specific TA positions, if available, are announced throughout the year to incoming and current students.
Students who opt for the second year of research can apply for a limited number of tuition scholarships. These will be awarded on a competitive basis and the number of scholarships and the associated amounts are determined year-to-year. Additional support may be available through PI support. Students are encouraged to find labs with available funding. Potential support can include additional tuition support, health insurance coverage, and stipend. Funding is never guaranteed and is fully dependent on students finding labs that are able to provide financial support. Partial tuition remission may be available for current/former Johns Hopkins students.