Three semesters and a summer internship.
30 credits
70% face-to-face, with some hybrid and online learning.
Master of Science (M.S.) Degree
Bachelor's degree with minimum GPA of 2.5/4 (GRE not required).
Statement of intent.
Two interviews: one with the Graduate School Multidisiplinary Program coordinator and one with the curriciulum adviser.
Preparatory material: basic statistics and programming (if needed, the curriculum adviser will provide assistance).
General graduate admission requirements of the college still apply.
This program is designed for professionals seeking career advancement, or college graduates from any field, who want to master practical, essential skills in data science and analytics which are in high demand by employers in today's data revolution.
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Develop specialized, marketable skills for any industry by:
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Our business partners collaborate with the DS&A program by providing our students with internships, advising on curricular changes, giving presentations, and teaching course modules.
