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:

Total Units Required: 12

Course Title
First Year Core Courses
IEMS 401-0Applied Mathematical Statistics
IEMS 435-0Stochastic Simulation
IEMS 450-1Mathematical Optimization I
IEMS 450-2Mathematical Optimization II
IEMS 460-1Stochastic Processes I
OPNS 516-0Stochastic Foundations
Electives (6)
 

Other MS Degree Requirements

  • Examination on a research paper at end of first year

PhD

Total Units Required: 17

Course Title
First Year Core Courses
IEMS 401-0Applied Mathematical Statistics
IEMS 435-0Stochastic Simulation
IEMS 450-1Mathematical Optimization I
IEMS 450-2Mathematical Optimization II
IEMS 460-1Stochastic Processes I
OPNS 516-0Stochastic Foundations
Other Required Courses
IEMS 481-0Logistics
IEMS 482-0Operations
Program of Coursework
Courses in major area (at least four)
Courses in two minor areas (two each)
IEMS 4xx Elective Course
 

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