BECOMING A BIOMEDICAL DATA SCIENTIST
Learn how to conduct research as an interdisciplinary scientist at the interface of biomedical sciences and data science. Consider the diverse career trajectories available to an individual scientist. Gain an overview of problems in the field, approaches and practices in biomedical research, and different examples of approaches and paths taken from conceptualization to implementation of computational/statistical/data science tools to address specific biomedical research problems.
Prerequisites & course information
Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Explain the breadth of research in biomedical data science. Audience: Graduate 2. Describe the approaches, resources and environment available to conduct interdisciplinary research at UW. Audience: Graduate 3. Describe the high-level goals of research programs of individual faculty trainers in the Biomedical Data Science program. Audience: Graduate Learning Outcomes: 1. Explain the breadth of research in biomedical data science. Audience: Graduate 2. Describe the approaches, resources and environment available to conduct interdisciplinary research at UW. Audience: Graduate 3. Describe the high-level goals of research programs of individual faculty trainers in the Biomedical Data Science program. Audience: Graduate
Sources
- Course catalogue ↗2026-2027