Curriculum Overview

The Master of Science in Machine Learning and Data Science program is a full-time, on-campus program spanning five consecutive quarters, beginning in the fall quarter and ending in the subsequent fall quarter. The first three quarters are spent on campus taking required courses and working on an overarching Practicum project in collaboration with fellow cohort members. During the summer quarter, students complete an industry internship or other, similarly rigorous experiential learning opportunity. Finally, students return for their second fall quarter to complete the last of their coursework and engage in their Capstone projects before grading.

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Experiential Learning Requirement

Every MLDS student must complete an experiential learning requirement, with the highest recommended and most common option being a full-time, ten-week internship during the summer quarter. Students are strongly encouraged to pursue this option to ensure time and focus remain on coursework during the academic year. We recognize, however, that meaningful experiential opportunities take many forms and don't always fit neatly into a single ten-week summer window. Students may fulfill the requirement through any substantive, supervised experience that meets program standards, completed at any point during their MLDS studies.