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Master of Science in Applied Statistics

Prerequisites

1. A bachelor's degree from an accredited college or university.

2. A grade of "B" or better in MATH 247, MATH 380, and STAT 381 or their equivalents.

Advancement to Candidacy

In addition to University requirements, the student must have completed all prerequisite courses listed above, with no grade less than "B". Students must have satisfied the Graduation Writing Assessment Requirement (GWAR) and should file for Advancement upon completion of at least six units (and no more than nine units) of the Program, with at least a 3.0 GPA. Program of study must be approved by the appropriate Graduate Advisor, Department of Mathematics and Statistics Chair and Associate Dean in the College of Natural Sciences and Mathematics or designee.

Requirements

1. A minimum of 30 graduate and 400 level units in statistics (STAT) and could include upper division/graduate non-statistics units approved by the statistics graduate advisor, and including:

  • A. STAT 510, STAT 520, STAT 530.
  • B. Four additional courses selected from 500 level STAT courses or 400 level STAT courses.
  • C. A minimum of 21 units at the 500/600 level, including at least 15 units of graduate courses in statistics (STAT) other than STAT 697 or STAT 698.

2. Complete one of the following:

  • A. Pass two comprehensive written examinations in Statistical Inference (STAT 520) and Experimental Design (STAT 530).
  • B. Subject to the approval of the Statistics Committee in the Department of Mathematics and Statistics, write a thesis in statistics and defend it orally.
  • C. Subject to the approval of the Statistics Committee in the Department of Mathematics and Statistics, complete a non-propriatary statistical project with an industrial company under the guidance of a faculty advisor in statistics. Write a final report and give an oral presentation of the project and its outcomes to the department. Specific requirements for completion of the project can be found on the department's statistics webpage at www.csulb.edu/depts/math.

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