Data Science MS

Applicants whose prior education does not include the courses listed above may still enroll under provisional status, followed by full admission status once they have completed the missing courses. Missing courses may be completed with Johns Hopkins Engineering (all prerequisites are available) or at another regionally accredited institution. Admitted students typically have earned a grade point average of at least 3.0 on a 4.0 scale (B or above) in the latter half of their undergraduate studies. All official transcripts from all college studies must be submitted. When reviewing an application, the candidate’s academic and professional background will be considered.

en courses (30 credits) must be completed within five years. Students are required to choose a focus area. The curriculum consists of two core courses (6 credits), five required courses (15 credits), and three courses (9 credits) from the selected focus area of which at least two must be 700-level. Focus areas do not appear as official designations on a student’s transcript or diploma.

Students with core or required course waivers may take up to two electives selected from other EP programs. Course selections outside of the lists of courses below are subject to advisor approval. Transfer courses will be considered electives. 

Non-degree students in Data Science should consult with their ad­visor to determine which courses must be successfully completed before 600- or 700-level Data Science courses may be taken.