StudyQA — PhD: Industrial Engineering — System Informatics and Control Track

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Description Contents Requirements

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.