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The degree Doctor of Philosophy (Ph.D.) in Industrial Engineering recognizes students with demonstrated proficiency and high achievement in research within the disciplines represented in the School faculty. Students earning the Ph.D. in IE focus on critical challenges in key systems, including supply chains, healthcare, manufacturing, information technology, and energy. After adequate preparation, the successful Ph.D. candidate must complete an authoritative investigation of a special area in their chosen field, culminating in a written dissertation describing the unique contributions created by that investigation.
The Ph.D. in Industrial Engineering degree offers four different specializations, and each student must select one prior to the Comprehensive Examination.
Domain Core | ||
ISYE 6810 | Sys Montr&Prognostics | 3 |
ISYE 7201 | Prod&Service Sys Engg | 3 |
ISYE 7204 | Info Prod & Ser Sys | 3 |
Methods Core | ||
Select three of the following: | 9 | |
ISYE 6661 |
Linear Optimization | |
ISYE 6761 |
Stochastic Processes I | |
ISYE 7406 |
Data Mining&Stat Learn | |
ECE 6550 |
Linear Sys and Controls | |
Methods Breadth | ||
Select at least three courses from at least two of the areas: | 9 | |
Stochastics and Simulation | ||
ISYE 6644 |
Simulation | |
ISYE 6831 |
Advanced Simulation | |
ISYE 6656 |
Queueing Theory | |
ISYE 6762 |
Stochastic Processes II | |
Statistics | ||
ISYE 6402 |
Time Series Analysis | |
ISYE 6405 |
Statistical Meth-Mfg Dgn | |
ISYE 6412 |
Theoretical Statistics | |
ISYE 6413 |
Dsgn & Analy-Experiments | |
ISYE 6420 |
Bayesian Statistics | |
ISYE 7401 |
Adv Statistical Modeling | |
ISYE 7405 |
Multivariate Data Analy | |
ECE 6555 |
Optimal Estimation | |
Computing and Algorithms | ||
ISYE 6679 |
Computational Methods | |
ISYE 6416 |
Computational Statistics | |
CS 6650 |
||
Dynamics and Control | ||
ECE 6559 |
Adv Linear Systems | |
ECE 6552 |
Nonlinear Systems | |
ECE 6553 |
Optimal Control | |
ECE 6554 |
Adaptive Control | |
ECE 6551 |
Digital Control | |
ECE 6556 |
Intelligent Control | |
ECE 6120 |
Automata Theory | |
ME 6401 |
Linear Control Systems | |
ME 6402 |
Nonlinear Control System | |
ME 6443 |
Variational Methods | |
ME 6403 |
Digital Control Systems | |
ME 6404 |
Adv Ctrl Dsgn Implement | |
Optimization | ||
ISYE 6664 |
Stochastic Optimization | |
ISYE 6662 |
Discrete Optimization | |
ISYE 6663 |
Nonlinear Optimization | |
Elective | ||
Approved Methodology Course |
||
Seminar | ||
ISYE 8014 | Topics in SIAC | 1 |
Applications | ||
Select at least one of the following: | 3 | |
ISYE 6201 |
Manufacturing Systems | |
ISYE 6202 |
Warehousing Systems | |
ISYE 6203 |
Transp&Supply Chain Sys | |
ECE 6557 |
Manufacturing Sys Design | |
ME 6222 |
Mfg Processes & Systems | |
ME 6223 |
Auto Mfg Process Plan | |
ME 6225 |
Metrology & Measure Sys | |
ME 6754 |
Engr Database Mgt System | |
Total Credit Hours | 31 |
It is recommended that students complete the domain and methods core courses before they sit for the comprehensive examination.
A student is not admitted to candidacy until all of the stated course requirements in the Program of Study have been completed.
Requirements
Ph.D. students are admitted for each Fall semester only, and the admissions process is coordinated by the Associate Chair for Graduate Studies. Decisions on applicants to our various Ph.D. programs are determined jointly by a committee of faculty members, potential faculty research advisors, and the Associate Chair. All applicants must select and apply to a specific degree program, although it is possible in some cases to switch programs after enrollment.
A prior Master's degree is not a requirement for admission into our Ph.D. programs, and students can earn an M.S. degree typically within the first two years of Ph.D. study. For those unsure about applying to a Master's program versus a Ph.D. program, please note that students in our Master's programs are not guaranteed admission into a Ph.D. program here; we do offer a simplified application scheme. If you are interested in research and a Ph.D. degree, you should apply to a Ph.D. program directly.
Application Requirements:
- Transcripts: Transcripts of prior academic work are required, as is evidence of an earned Bachelor's degree. Applicant transcripts should demonstrate strong academic preparation and capability, especially in advanced mathematics and computing coursework. Those with less preparation in mathematics and engineering are expected to use coursework at Georgia Tech to quickly establish proficiency.
- Graduate Record Examination (GRE): Scores from the general test are required, and strong performance on the quantitative section is expected. Scores from the Mathematics Subject Test are not required, but can help a student demonstrate proficiency in advanced mathematics.
- Statement of Purpose: The written statement of purpose should describe clearly why the applicant wishes to pursue the Ph.D., including research and career goals. While the statement should describe past experiences, it should also identify clearly the research area of interest to the applicant and the members of our faculty that might serve as research advisor(s).
- Resume: A resume outlining academic experience, research experience and accomplishments, industry experience, specific skills, and outside interests of the applicant is required.
- Letters of Reference: Three (3) credible letters of reference are required that attest to the preparation of the applicant and the likelihood for success in a Ph.D. program. At least two (2) letters should be from faculty members.
Each year, we receive many more applications from qualified students than we have the capacity to admit into our programs. To help admitted students learn more about our programs and meet potential research advisors, we hold an invitation-only Ph.D. Applicant Visit Day annually in early March.
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