M.Sc. IN STATISTICS

Ph. D. IN STATISTICS

Curriculum for MS

Required Courses for Ph.D.

Statistics Option

STAT 601 Advanced Probability Theory I

STAT 500 MS 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

STAT 729 Modern Data Analysis: From Hidden Markov Models to Statistical Learning

Modeling Courses

STAT 623 Spatial Statistics

STAT 497 Time Series Analysis

STAT 630 Advanced Topics in Statistical Inference

STAT 503 Linear Statistical Models

STAT 632 Inference for Stochastic Processes

STAT 525 Regression Theory and Methods

STAT 634 Theory of Stationary Random Functions

STAT 557 Statistical Modeling I (*)

STAT 699 Ph.D. Thesis in Statistics

STAT 558 Statistical Modeling II (*)

STAT 730 Statistics for Bioinformatics 

STAT 559 Applied Multivariate Analysis

STAT 800-899 Special Studies

STAT 560 Logistic Regression Analysis

 

STAT 561 Panel Data Analysis

STAT 562 Univariate Time Series Analysis

STAT 563 Multivariate Time Series Analysis

STAT 729 Modern Data Analysis: From Hidden Markov Models to Statistical Learning

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. 

 

Pool courses have been removed for interdisciplinary students who are admitted to the department in or after 2021-2022 Spring Semester.