The MS in Data Analytics and Statistics (MSDAS) is an academic master's degree designed for students interested in learning statistical techniques necessary to make informed decisions based on data analysis.
Requirements for Degree
Refer to the University Bulletin for the specific requirements for this degree.
- The MSDAS degree requires 30 units, which may include optionally 6 units for thesis.
The following courses are approved by the department as electives.
From ESE: Any of these, ESE 415, ESE 516, ESE 518, ESE 519 not used towards the requirements, and
ESE 403, ESE 425, ESE 427, ESE 513, ESE 514, ESE 523, ESE 526, ESE 544, ESE 545, ESE 551, ESE 553, ESE 584
From CSE: Any of these, CSE 514A, CSE 517A, CSE 530S, CSE 543T not used towards the requirements, and
CSE 417T, CSE 427S, CSE 502N, CSE 503S, CSE 510-519, CSE 541T, CSE 557A, CSE 581T, CSE 585T, CSE 586A
Math 408, Math 420, Math 439, Math 4392, Math 459, Math 461, Math 475, Math 493, Math 5061, Math 5062, Math 533, Math 534
Requests for exceptions to this policy may be submitted to the department chair with the approval of the academic advisor of the student.