Data Science in Biomedicine Supervised Project

4 to 8 units · Graduate courses (200-299)

Lecture, four hours; discussion, two hours. Requisite: course 200 or equivalent. Hands-on applied analytics project that helps prepare students for a career in data science in biomedicine by testing their ability to solve complex data science problems in real-world settings. Students hone their communication skills and delve deeply into areas of interest beyond the classroom. Satisfies capstone requirement. May be repeated twice for credit. Letter grading.