PhD Computational Track
Goals:
(1) To give graduates of this program the fundamentals of modern statistical computational theory, methods and techniques.
(2) To train students capable of developing new theory, methods, and techniques in computational statistics.
Program:
While meeting the general course requirements for the PhD in statistics, the student in the Computational Track will have taken all of the following computationally oriented courses:
STAT 5304: Statistical Computing
STAT 5314: Advanced Monte Carlo Methods
STAT 5444: Bayesian Statistics
STAT 5505: Data Analytics I
STAT 5506: Data Analytics II
STAT 6124: Stochastic Modeling and Inference
The topic(s) of the dissertation must be related to the Computational Track and must be approved by the student's dissertation committee.