Statistics Degree Requirements

The following requirements are in addition to, or further elaborate upon, those requirements outlined in The Graduate School Policy Guide.


Courses: Units

  • STAT 325 Survey Sampling: 1
  • STAT 350 Regression Analysis: 1
  • STAT 351 Design and Analysis of Experiments: 1
  • STAT 420-1,2,3 Advanced Statistics: Introduction to Statistical Theory and Methodology: 3
  • MATH 450-1 Probability Theory: 1
  • MATH 450-2 Probability Theory: 1
    IEMS 460-1,2 Stochastic Models: 2
  • Two of those below: 2
    • STAT 448 Multivariate Statistical Methods
    • STAT 453 Survival Analysis
    • STAT 454 Time-Series Analysis
    • STAT 455 Advanced Analysis of Qualitative Data
  • Electives (300- and 400-level; from Related Courses, or others with department approval): 1-4

Total Required Units: 12-15

Other PhD Degree Requirements

  • Examinations: Qualifying examination taken at the beginning of the second year; prospectus completed by the end of third year
  • Research/Projects: none specified
  • PhD Dissertation: based on independent research
  • Final Evaluations: oral defense of dissertation


Optional MS degree for Statistics PhD Students

Students admitted to the PhD program can obtain an optional MS (Master of Science) degree en route. The MS degree requires 12 courses. For particularly well-qualified students, this requirement may be reduced by as many as 3 courses. Students choose from 300 and 400 level courses offered by the statistics department or offered by other departments and approved by the Statistics Department. Required are Survey Sampling (325), Regression Analysis (350), Design and Analysis of Experiments (351), Introduction to Statistical Theory and Methodology I, II, III (420-1,2,3), and two courses from among other 400 level statistics courses. Of the 12 courses required, no more than 3 may be taken outside the Statistics Department. The MS degree requires a comprehensive exam but no thesis. Students normally complete the requirements in four quarters, but well-qualified students can complete the requirements in three quarters.

MS Degree for PhD Students outside of Statistics

The Department offers an MS degree in Statistics for doctoral students in other majors including (but not limited to) Economics, Political Science, Sociology, Psychology, Learning Sciences, and Human Development & Social Policy who wish to establish their qualifications in statistics and quantitative research methodology. Students will be expected to take a total of 9 courses in a program to be approved by the program director. Two of these courses (STAT 320-1, 2) will ordinarily be required for all students to provide a foundation in statistical theory. Students should also complete 7 other courses selected with the advice and approval of the program director, at least two of which must be taught in the Department of Statistics. Note that the program may be completed entirely from courses taught in the Statistics Department, but may include up to 4 courses from departments other than Statistics with the approval of the program director. Students who wish to pursue this option must first follow the procedure for requesting permission to pursue and ad hoc combined degree