University of Washington

Overview

The Master of Science (M.S.) in Biomedical Informatics and Medical Education at the University of Washington is designed to equip students with the skills necessary to create, assess, and implement data-driven solutions in the fields of biomedical and health informatics. This thesis-based program emphasizes research methodologies, fundamental informatics principles, and their applications in clinical care and educational settings.

What you'll study

The curriculum is structured around a comprehensive set of core courses in biomedical and health informatics, complemented by additional coursework and a thesis. Students will complete the required core courses and have the opportunity to customize their education through electives and dedicated thesis research.

Core coursework

• Biomedical & Health Informatics
• Health and Informatics
• Biology and Informatics
• Clinical Care and Informatics
• Informatics Research and Evaluation Methods
• Knowledge Representation and Applications
• Biomedical Information Interactions and Design
• Consumer Health and Informatics
• Applied Biostatistics

Electives and related coursework

Students may select additional courses from programs affiliated with Biomedical and Health Informatics, as well as from the broader University of Washington catalog. These elective options can enhance knowledge in areas such as clinical informatics, health technology design, evaluation methods, and data-driven health research.

Thesis

The program culminates in a thesis that addresses a specific research problem within biomedical and health informatics. This component demonstrates the student’s ability to conduct research effectively, apply appropriate methodologies, and articulate their findings clearly.

Optional specialization

Students may have the opportunity to pursue a Data Science Specialization alongside their M.S. degree, subject to availability and specific program requirements.

Entry requirements

Applicants are typically expected to have a minimum GPA of 3.0. This metric serves as a general guideline for academic performance, although specific requirements may vary. Prospective students should verify the most current admission criteria directly with the program.

Career prospects