Industrial Engineering — System Informatics and Control Track

Study mode:On campus Study type:Full-time Languages: English
Foreign:$ 27.9 k / Year(s) Deadline: Dec 15, 2024
38 place StudyQA ranking:4863 Duration:

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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


ISYE 6831

Advanced Simulation  

ISYE 6656

Queueing Theory  

ISYE 6762

Stochastic Processes II  

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  

ISYE 6664

Stochastic Optimization  

ISYE 6662

Discrete Optimization  

ISYE 6663

Nonlinear Optimization  

Approved Methodology Course

ISYE 8014 Topics in SIAC 1
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.


 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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