Statistics, M.Sc.

MS in Statistics: Data Science
Starting in Fall 2013 a Stats MS Data Science subplan is offered as a focused track within the current MS program in Statistics and ICME (Stanford Institute for Computational and Mathematical Engineering). See the Data Science page for more details, and curriculum requirements.
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MS in Statistics Program Summary
The department requires that the student take 45 units of work from offerings in the Department of Statistics or from authorized courses in other departments. Of these 45 units, eight statistics courses from the list of required courses must be taken for a letter grade. The mathematics and programming requirements must also be taken for a letter grade*. The Statistics elective courses may be taken for a letter grade or Credit/No Credit. There is no thesis requirement.
Units for a given course may not be counted to meet the requirements of more than one degree (GAP 3.2), that is, no units may be double-counted (for example, students who have already taken STATS 116 and have counted it toward their undergraduate or another Master's degree should discuss with their advisor a choice of a suitable replacement course). An overall 3.0* grade point average (GPA) is required. Additional courses from the list of authorized electives may be used to complete the unit requirement. Because departments often change their offerings, please contact one of the master's advisors for approval of courses not on this list.
Submission of approved Master's Program Proposal, signed by the master's adviser, to the student services specialist by the end of the first quarter of the master's degree program. A revised program proposal is required to be filed whenever there are changes to a student's previously approved program proposal.