MASTER OF SCIENCE CURRICULUM IN STATISTICS
       DOCTOR OF PHILOSOPHY CURRICULUM IN STATISTICS    
M.S. PROGRAM Compulsory Courses for the Ph.D. Degree
Statistics Option STAT 601 Advanced Probability Theory I
STAT 500 M.S. Thesis STAT 602 Advanced Probability Theory II
STAT 501 Statistical Theory I STAT 603 Advanced Theory of Statistics I
STAT 502 Statistical Theory II STAT 604 Advanced Theory of Statistics II
STAT 542 Seminar I STAT 642 Seminar in Statistics I
STAT 543 Seminar II STAT 643 Seminar in Statistics II
STAT 510 Research Methods and Ethics in Statistics** STAT 510 Research Methods and Ethics in Statistics**
  • Three electives from Modeling, Computing or Elective Course list
Other Ph.D. Courses
  • Two electives from any of the following course groups or out of department
STAT 605 Theory of Linear and Nonlinear Statistical Models
  • Totally seven courses with at least 21 credit hours
STAT 606 Theory of Experimental Designs
STAT 607 Nonparametric Theory of Statistics
Interdisciplinary Statistics Option for non-majors STAT 608 Probability Models and Stochastic Processes
STAT 500 M.S. Thesis STAT 609 Statistical Decision Theory
STAT 551 Probability and Statistics I STAT 610 Sequential Analysis
STAT 552 Probability and Statistics II STAT 611 Multivariate Analysis
STAT 542 Seminar I STAT 612 Advanced Topics in Time Series Analysis
STAT 543 Seminar II STAT 613 Advanced Topics in Life Testing and Reliability

STAT 510 Research Methods and Ethics in Statistics**

STAT 614 Interpretation of Data I
  • One Computing course & One Modeling course &  One Elective course
STAT 615 Interpretation of Data II
  • Two electives from any of the following course groups or out of the department
STAT 616 Applications of Statistics in Industry
  • Totally seven courses with at least 21 credit hours
STAT 617 Large Sample Theory of Statistics

*Scientific Preparation Courses are at the end of the table

STAT 618 Mathematical Models and Response Surface Methodology
Computing Courses STAT 619 Advanced Topics in Regression and Analysis of Variance
STAT 554 Computational Statistics (*) STAT 620 Bayesian Inference
STAT 555 Advanced Computational Statistics STAT 621 Robust Statistics
STAT 556 Advanced Computing Methods in Statistics STAT 622 Discrete Multivariate Analysis
Modeling Courses STAT 623 Spatial Statistics
STAT 503 Linear Statistical Models STAT 630 Advanced Topics in Statistical Inference
STAT 525 Regression Theory and Methods STAT 632 Inference for Stochastic Processes
STAT 557 Statistical Modeling I (*) STAT 634 Theory of Stationary Random Functions
STAT 558 Statistical Modeling II (*) STAT 699 Ph.D. Thesis in Statistics
STAT 559 Applied Multivariate Analysis STAT 730 Statistics for Bioinformatics 
STAT 560 Logistic Regression Analysis STAT 800-899 Special Studies
STAT 561 Panel Data Analysis
STAT 562 Univariate Time Series Analysis
STAT 563 Multivariate Time Series Analysis
Elective Courses
STAT 504 Non-Parametric Statistical Inference and Methods
STAT 505 Sampling Theory and Methods
STAT 509 Applied Stochastic Processes
STAT 518 Statistical Analysis of Designed Experiments
STAT 553 Actuarial Analysis and Risk Theory
STAT 564 Advanced Statistical Data Analysis
STAT 565 Decision Theory and Bayesian Analysis
STAT 566 Reliability Theory and Methods
STAT 567 Biostatistics and Statistical Genetics
STAT 568 Statistical Consulting
(*) Starred courses can only be taken by
the students of Interdisciplinary Statistics Option
(**) You don't have to take STAT 510 course again if you took the same or similar course before. 

*Scientific Preparation Courses
STAT 203 PROBABILITY I
STAT 204 PROBABILITY II
STAT 363 LINEAR MODELS I
STAT 412 STATISTICAL DATA ANALYSIS