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.
ESE 403, ESE 425, ESE 427, ESE 513, ESE 514, ESE 523, ESE 526, ESE 544, ESE 545, ESE 551, ESE 553, ESE 584
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
The following courses are NOT approved by the department as electives.
Any Undergraduate Research, Independent Study, Senior Design, or Capstone Course
Requests for exceptions to this policy may be submitted to the department chair with the approval of the academic advisor of the student.