Georgia Institute of Technology College of Engineering 94 courses
All PhD programs must incorporate a standard set of Requirements for the Doctoral Degree. Students in the Ph.D. with a major in Industrial Engineering program choose a single track from: General Industrial Engineering, Supply Chain Engineering, Statistics, Economic Decision Analysis, and System Informatics & Control. Each track has specific course requirements. Students are expected to complete the course programs described below prior to candidacy, and many of the courses are recommended to be completed prior to the comprehensive examination. Students seeking to waive a program course requirement must receive permission from the Associate Chair for Graduate Studies. It is not our intent to have students repeat coursework that they may have already mastered during prior graduate degree programs, so please ask for appropriate waivers. Decided in consultation with advisor. Up to two technical electives may double-count toward satisfying the minor requirement The General Industrial Engineering comprehensive exam has two parts: Written exam: Students have to select any two courses from Group 1 methodology core of General Industrial Engineering track. They are required to solve one question each from these 2 topics. Both questions are to be solved in one three hour exam. Research paper: The research paper must be submitted by the day of the exam. The paper must be: Written 100% by the student. (The student may mention the name of faculty/student collaborator.) No more than 10 pages (excluding references), font size 11, margin at least 1 inch. The first page should contain the title, the research collaborators, and a short abstract. The introduction should be a broadly accessible to a non-expert and contain exposition of the main goals, ideas and techniques, including motivation and a clear literature survey (The entire paper can be a literature survey paper).
Methodology Core (4 courses)
Group 1 (at least 2 courses) Group 2
Domain Core (at least 3 courses)
Methodology Core (4 courses)
Group 1 (at least 2 courses) Group 2
Domain Core (3 courses)
Group 1 (at least 2 courses) Group 2
Computational Core (1 course)
| Code | Course Title | Credits |
|---|---|---|
| ISYE 6679 | Computational Methods in Optimization | 3 |
| CSE 6140 | Computational Science and Engineering Algorithms | 3 |
| CS 6550 | Design and Analysis of Algorithms | 3 |
Domain Core (3 courses)
| Code | Course Title | Credits |
|---|---|---|
| ISYE 6412 | Theoretical Statistics | 3 |
| ISYE 6416 | Computational Statistics | 3 |
| ISYE 7401 | Advanced Statistical Modeling | 3 |
Statistics Electives (5 courses)
Technical Electives (2 courses)
Operations Research Core (3 courses)
| Code | Course Title | Credits |
|---|---|---|
| ISYE 6661 | Linear Optimization | 3 |
| ISYE 6662 | Discrete Optimization | 3 |
| ISYE 6663 | Nonlinear Optimization | 3 |
| ISYE 6761 | Stochastic Processes I | 3 |
Economic Decision Analysis Core (3 courses)
Statistics Core (1 course)
| Code | Course Title | Credits |
|---|---|---|
| ISYE 6402 | Time Series Analysis | 3 |
| ISYE 6421 | Biostatistics | 3 |
Breadth Elective (at least 1 course)
Domain Core (3 courses)
Methods Core (3 courses)
Methods Breadth (4 or more courses)
Select courses from two or more of the six focus areas: Machine Learning and AI Stochastics and Simulation Statistics Computing and Algorithms Dynamics and Control Optimization Applications CS 7751 may also be replaced by CSE 7751.
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