Industrial Engineering and Management Sciences PhD

Degree Requirements

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

Master's

Those students enrolled in the IEMS PhD program receive the MS as they progress toward the PhD. For students who are progressing to the PhD, the master's degree is generally awarded upon completion of the following:

Minimum GPA 3.0

Total Units Required: 12 

Course Title
First Year Core Courses
IEMS 401-0Applied Mathematical Statistics
IEMS 450-1Mathematical Optimization I
IEMS 460-1Stochastic Processes I
Two of the Following:
IEMS 402-0Statistical Learning
IEMS 450-2Mathematical Optimization II
IEMS 460-2Stochastic Processes II
IEMS 435-0Stochastic Simulation
7 other courses for credit
 

Other MS Degree Requirements

  • Successful performance on examination of a research paper at end of first year.

PhD

Total Units Required: 15

Course Title
First Year Core Courses
IEMS 401-0Applied Mathematical Statistics
IEMS 450-1Mathematical Optimization I
IEMS 460-1Stochastic Processes I
Two Research-Based Courses, IEMS 499 Independent Study
Two of the Following:
IEMS 402-0Statistical Learning
IEMS 450-2Mathematical Optimization II
IEMS 460-2Stochastic Processes II
IEMS 435-0Stochastic Simulation
Five Other Courses, taken from the list of advanced courses, application courses, and approved elective courses

Other PhD Degree Requirements

  • Examinations: candidacy examination on a research paper at end of first year.
  • Prospectus: Initial part of dissertation research, to be completed by the end of the third year in the program.
  • PhD Dissertation: based on independent research.
  • Final Evaluations: oral defense of dissertation.
  • Other: at least one experience as an instructor or teaching assistant; satisfy TGS English proficiency requirement.