Program and Curriculum

The Data Science in Biomedicine MS provides foundational training in all areas of data sciences including machine learning, statistics, data mining and analytics in combination with training in the analysis of biomedical data including electronic health records, medical images and genomic data.

A minimum of 36 units (the equivalent of nine courses) are required to complete the degree.   The degree will require 5 core courses, including a capstone course, plus 4 electives.  Each core and elective course is four units, with one possible exception: a student may take a capstone course for up to 8 units. See the Capstone Requirement page for more details.   

Students will typically take one course (four units) per quarter and will finish the program in two years plus one quarter, including summers.  Students have the option of enrolling in more courses per quarter, reducing their time to degree, or may take summers off and graduating in three years.

Online and Hybrid options

Most of the students will take all of their courses remotely.  However, students who are interested in spending some time on campus have the option to attend the “hybrid” courses and work on their capstone project in person.  Please ask the SAO for more information.

Prerequisite course

Most students will take the DSB 200 Foundations in Data Science course which is a prerequisite for the remaining core courses.  Students who already have a mastery of the topics covered in DSB 200 can request a course waiver and instead take an additional elective course.