Concentration in Applied AI in Systems Medicine
The Concentration in Applied AI in Systems Medicine prepares students to enhance and expand the impact of systems medicine using artificial intelligence (AI) tools.
Systems medicine relies on large-scale data from various sources to gain a comprehensive understanding of the molecular mechanisms underlying complex diseases. AI has shown immense potential for analyzing and interpreting these multi-omics data, enabling the development of personalized and precision medicine approaches – while also raising new risks for clinicians and researchers. Students who master the use of AI will be ready to take the lead at the intersection of data-driven healthcare and biomedical research.
Georgetown’s Systems Medicine Program has a long history of collaboration and student internships with the research group of Dr. Nawar Shara, chief of research data science for the MedStar Health Research Institute and founding co-director Georgetown’s AI CoLab. Dr. Shara is a trailblazer in AI and health, having published several seminal papers on the application of AI to improve patient care. Students in our AI concentration are uniquely positioned to to get hands-on experience with real-world data through Dr. Shara’s group.
How to Apply
Apply for the M.S. in Systems Medicine: Applied AI in Systems Medicine Concentration via our master’s admissions page. You will designate the concentration option as part of your application.
Our students benefit from the services of the Biomedical Graduate Education career office, including one-on-one advising, skills workshops, leadership programs and more to help them take the next step in their professions.
View an example course schedule for the concentration on the Degree Plans page.
View prerequisites and available financial assistance, and begin your application.
View example two-semester course schedules for full-time students.
Browse required and elective courses for the Master of Science program.
Learn about our capstone internship experience.