Doctor of Philosophy with a major in Industrial Engineering

Doctor of Philosophy with a Major in Industrial Engineering - Applied Statistics Track

The emphasis in this track is on the use of statistics as a science that is employed in a technological environment. Within this context, a student takes fundamental coursework in mathematics, probability and statistics suitable to conduct advanced work and research in a variety of application domains. Among these are quality systems, manufacturing, production, and simulation.

Doctor of Philosophy with a Major in Industrial Engineering - Supply Chain Engineering Track

This program focuses on the design and analysis of manufacturing, distribution, and transportation systems. Students take fundamental coursework in optimization, stochastics, and statistics in order to build a firm base from which to deal with the myriad of issues that arise in settings involving modern supply chain systems modeling and analysis: production and inventory systems, vehicle routing and scheduling, warehousing, and logistics.

Doctor of Philosophy with a Major in Industrial Engineering - Economic Decision Analysis Track

 
Engineering economic decision analysis is a broad-based area of study that concentrates on both theoretical approaches and the applied methodologies in various decision-making domains within an economic environment. Typical settings that attract students to this program include multicriteria decision-making, capital budgeting, auctions, portfolio analysis and selection, economic forecasting, utility theory, and quantitative finance.

Doctor of Philosophy with a Major in Industrial Engineering - System Informatics & Control Track

Domain Core
ISYE 6810Sys Montr&Prognostics3
ISYE 7201Prod&Service Sys Engg3
ISYE 7204Info Prod & Ser Sys3
Methods Core
Select three of the following:9
Linear Optimization
Stochastic Processes I
Data Mining&Stat Learn
Linear Sys and Controls
Methods Breadth
Select at least three courses from at least two of the areas:9
Stochastics and Simulation
Simulation
Advanced Simulation
Queueing Theory
Stochastic Processes II
Statistics
Time Series Analysis
Statistical Meth-Mfg Dgn
Theoretical Statistics
Dsgn & Analy-Experiments
Bayesian Statistics
Adv Statistical Modeling
Multivariate Data Analy
Optimal Estimation
Computing and Algorithms
Computational Methods
Computability&Algorithms
Computational Statistics
Dynamics and Control
Adv Linear Systems
Nonlinear Systems
Optimal Control
Adaptive Control
Digital Control
Intelligent Control
Automata Theory
Linear Control Systems
Nonlinear Control System
Variational Methods
Digital Control Systems
Adv Ctrl Dsgn Implement
Optimization
Stochastic Optimization
Discrete Optimization
Nonlinear Optimization
Elective
Approved Methodology Course
Seminar
ISYE 8014Topics in SIAC1
Applications
Select at least one of the following:3
Manufacturing Systems
Warehousing Systems
Transp&Supply Chain Sys
Manufacturing Sys Design
Mfg Processes & Systems
Auto Mfg Process Plan
Metrology & Measure Sys
Engr Database Mgt System
Total Credit Hours31

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.