Bridge Two Worlds
Whether you are a clinician or health system professional looking to develop real data science and AI skills or a data scientist who wants to truly understand healthcare, our curriculum is meant to meet you where you are and build toward the same destination: the ability to excel across both worlds.
The University of Rochester’s close connection to its medical center means that interdisciplinary is built into the environment itself, with technical rigor from the Goergen Institute for Data Science and Artificial Intelligence (GIDS-AI) and direct exposure to real-world clinical perspectives through the UR Health Lab.
Programmed for You
Our flexible program is built with working professionals and students needs in mind.
Duration
Full-time students can complete the program in two semesters (one year) by taking four courses each semester. Part-time students can complete the program in:
- Four semesters by taking two courses each semester
- Eight semesters by taking one course each semester
Courses are offered over the fall, spring, and summer semesters, allowing part-time students to complete their program in as little as 15 months. Students can also flex between one to two courses each semester.
Remote Learning
All lectures and interactions will take place over zoom and an online learning platform called Blackboard. Lectures and class meetings will take place at fixed days and times during the semester. Lectures will also be recorded for offline viewing and review, but we strongly encourage students to attend the synchronous lectures to maximize their learning.
Costs
The Healthcare Data Science and AI MS program charges tuition at the Hajim School graduate program rate. You can view current tuition and fee schedules on the Bursar’s Office website. Students will take a total of 32 credits for the entire program.
Applicants are automatically considered for tuition discounts and fellowships based on their application. No separate application or request process is needed.
