Joshua Tebbs, Chair

Overview

Statistics plays a vital role in science, industry, business, and government. Competitive starting salaries and a promising job market make a career in statistics an excellent choice for those with mathematical talent, computer skills, and a desire to work with people. The Department of Statistics offers programs of study emphasizing a broad training in both applied and theoretical statistics, including statistical computing and the art of statistical consulting. The department houses the Statistical Laboratory, which offers statistical consulting services to clients throughout the University, government, and industry. The department offers programs of study leading to the Master of Science, Master of Applied Statistics, and Doctor of Philosophy degrees.  It also offers the Post-Baccalaureate Certificate in Applied Statistics. Courses for the P.B.A.C.C. and M.A.S. programs are available within 24 hours anywhere in the world via video streaming.

Admission

Requirements for admission to all graduate programs conform with general regulations of The Graduate School, including official test scores on the GRE, two letters of recommendation, and successful academic performance at an accredited baccalaureate institution. The GMAT is acceptable in lieu of the GRE for M.A.S. applicants. At least two semesters of calculus are prerequisite for admission to the M.S. and Ph.D. programs plus an additional semester of advanced calculus and a semester of linear algebra. Applicants for the M.A.S. program should have at least two semesters of calculus with a 3.0 GPA. Applicants for the M.S. and Ph.D. who have their materials in by January 15th are considered for financial support in the form of teaching or research assistantships.  For more details, contact the department or go to http://www.stat.sc.edu/curricula/grad/.

Programs and Courses

Programs

• Applied Statistics, Certificate
• Applied Statistics, M.A.S.
• Statistics, M.S.
• Statistics, Ph.D.

Courses

• STAT 506 - Introduction to Experimental Design
• STAT 509 - Statistics for Engineers
• STAT 510 - Applied Stochastic Processes
• STAT 511 - Probability
• STAT 512 - Mathematical Statistics
• STAT 513 - Theory of Statistical Inference
• STAT 515 - Statistical Methods I
• STAT 516 - Statistical Methods II
• STAT 517 - Advanced Statistical Models
• STAT 518 - Nonparametric Statistical Methods
• STAT 519 - Sampling
• STAT 520 - Forecasting and Time Series
• STAT 522 - Financial Mathematics I
• STAT 523 - Financial Mathematics II
• STAT 525 - Statistical Quality Control
• STAT 528 - Environmental Statistics
• STAT 530 - Applied Multivariate Statistics and Data Mining
• STAT 535 - Introduction to Bayesian Data Analysis
• STAT 540 - Computing in Statistics
• STAT 541 - Advanced SAS Programming
• STAT 582 - Bayesian Networks and Decision Graphs
• STAT 587 - Big Data Analytics
• STAT 588 - Genomic Data Science
• STAT 591 - Data Analysis for Teachers
• STAT 599 - Topics in Statistics
• STAT 600 - Statistics for Applied Management
• STAT 650 - AP Statistics for Teachers
• STAT 700 - Applied Statistics I
• STAT 701 - Applied Statistics II
• STAT 702 - Introduction to Statistical Theory I
• STAT 703 - Introduction to Statistical Theory II
• STAT 704 - Data Analysis I
• STAT 705 - Data Analysis II
• STAT 706 - Experimental Design
• STAT 708 - Environmetrics
• STAT 709 - Environmetrics II
• STAT 712 - Mathematical Statistics I
• STAT 713 - Mathematical Statistics II
• STAT 714 - Linear Statistical Models
• STAT 715 - Nonlinear Statistical Models
• STAT 716 - Selected Topics in Probability
• STAT 718 - Selected Topics in Statistics
• STAT 720 - Time Series Analysis
• STAT 721 - Stochastic Processes
• STAT 730 - Multivariate Analysis
• STAT 740 - Statistical Computing
• STAT 750 - Response Surface Methodology
• STAT 761 - Reliability and Life Testing
• STAT 770 - Categorical Data Analysis
• STAT 771 - Applied Longitudinal Data Analysis
• STAT 772 - Binary Dose Response Theory and Methods
• STAT 775 - Generalized Linear Models
• STAT 777 - Statistical Phylogenetics and Molecular Evolution
• STAT 778 - Item Response Theory
• STAT 790 - Seminar in Statistical Consulting
• STAT 791 - Practicum in Statistical Consulting
• STAT 798 - Independent Study
• STAT 799 - Thesis Preparation
• STAT 810 - Probability Theory I
• STAT 811 - Probability Theory II
• STAT 822 - Advanced Statistical Inference
• STAT 823 - Large Sample Theory
• STAT 824 - Nonparametric Inference
• STAT 890 - Doctoral Seminar
• STAT 898 - Directed Readings and Research
• STAT 899 - Dissertation Preparation