M.S. in Artificial Intelligence Engineering - Biomedical Engineering - Research (MSAIE-BME-Research)
Artificial Intelligence (AI) has become a critical part of physical technologies in healthcare, transportation, communication, manufacturing and more. In Biomedical Engineering, AI has the potential to transform healthcare with a wide range of applications. Biomedical AI can help a doctor diagnose a disease, determine its optimal treatment, and predict the patient’s prognosis. Biomedical technologies such as neuroprosthetics and medical imaging have been enriched by the application of AI and machine learning (ML) to biological signal processing and image analysis, and new applications are being discovered each day. This has enabled scientists and clinicians to accomplish tasks and reach conclusions that were never before possible. Biomedical AI can thus be used to improve the quality and length of life.
Our MS in Artificial Intelligence Engineering in Biomedical Engineering - Research program prepares students for the burgeoning opportunities presented by AI applications in clinical settings and biomedical research. This 21-months program offers students the opportunity to gain mastery of AI and Biomedical Engineering domain expertise while learning how to integrate AI/ML approaches with engineering design and system analysis to develop effective solutions in biomedical engineering. The course-based academic training is supplemented by an in-depth, original research experience with CMU faculty or collaborators at clinical and research institutes such as Mayo Clinic, University of Pittsburgh Medical Center (UPMC), and Allegheny Health Network (AHN).
Fall-entry application opens in October.
For more information, please visit the graduate admissions overview page.
Career Preparation and Opportunity
As the first program of its kind in the nation, graduates of this program will be uniquely positioned for high demand careers in this burgeoning field of Biomedical Engineering.

CMU-Mayo Clinic, Pathology AI Immersion Program
This program provides MS AIE in BME – Research students with the opportunity to work alongside Mayo Clinic’s Department of Laboratory Medicine and Pathology team, contribute to the development of pathology AI platforms aimed at improving diagnostic workflows in healthcare, and receive a stipend in the last year of the program to help support their education.
Participation in this program is highly competitive, with a limited number of spots available. Interested students may apply to this collaborative program through the CMU-BME department only. Details on the application process can be found here.
Reasearch Areas
Follow up with Maryia Rakach, Director of Graduate Programs, to learn about research projects led by faculty members actively seeking student collaborators. Explore research areas and ongoing projects within the Biomedical Engineering Department, and discover opportunities to contribute to cutting-edge innovations.
Biomaterials & Nanotechnology | Biomechanics | Biomedical Imaging | Cardiopulmonary Engineering | Cell & Tissue Engineering | Computational Biomedical Engineering | Medical Devices & Robotics | Neural Engineering
Program requirements
This 21-months program is designed for students with undergraduate degrees in engineering or related disciplines and interests in advanced education in artificial intelligence, machine learning, and their applications in the domain of biomedical engineering. There are four main background areas that are required for this degree program: mathematics, computer programming, scientific and quantitative reasoning, and engineering. The mathematics background should include some exposure to probability and statistics and linear algebra. The computer programming background should include exposure to algorithms and, ideally, some level of application development.