Ph.D. in Industrial Engineering
Specialization in Statistics
CORE
ISyE 6412 - Theoretical Statistics
ISyE 6413 - Design and Analysis of Experiments
ISyE 6416 - Computational Statistics
ISyE 6650 - Probabilistic Models and Their Applications or Math 6241: Probability I
ISyE 7401 - Advanced Statistical Modeling
THEORY (select two or more):
ISyE 6420 - Bayesian Statistics
ISyE 6761 - Stochastic Process I
ISyE 6762 - Stochastic Process II
ISyE 6781 - Reliability Theory
ISyE 7405 - Multivariate Data Analysis
Math 6242 - Probability II
Math 6262 - Statistical Estimation
Math 6263 - Testing Statistical Hypotheses
METHODS (select three or more):
ISyE 6402 - Time Series
ISyE 6404 - Nonparametric Statistics
ISyE 6405 - Statistical Methods for Manufacturing Design and Improvement
ISyE 6414 - Statistical Modeling and Regression Analysis
ISyE 6805 - Reliability Engineering
ISyE 7400 - Advanced Design of Experiments
ISyE 7406 - Data Mining and Statistical Learning
ELECTIVES (select one or more):
BIOL 7023 - Bioinformatics
CS 7645 - Numerical Machine Learning
ECE 6254 - Statistical Digital Signal Processing
ISyE 6201 - Manufacturing Systems
ISyE 6202 - Warehousing Systems
ISyE 6203 - Transportation and Supply Chain Systems
ISyE 6230 - Economic Decision Analysis
ISyE 6644 - Simulation
ISyE 6664 - Stochastic Optimization
ISyE 6669 - Deterministic Optimization or ISyE 6661: Linear Optimization
ISyE 6783 - Statistical Techniques of Financial Data Analysis
ISyE 6831 - Advanced Simulation
All 11 courses satisfying the above requirements in the Program of Study must be completed in order to obtain doctoral candidacy.
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