John Grego, Chair

Overview

The department offers the Bachelor of Science degree with a major in statistics. The program provides a strong basis in both applied and theoretical statistics and prepares a student for the pursuit of graduate study in statistics or for employment by industry or government. In addition, the department serves many of the disciplines within the University through course offerings which provide basic statistical skills necessary to the pursuit of studies in these disciplines.

General Statistics Courses

STAT 110   is a first course in statistics at the freshman level which is devoted to the basic concepts of statistical thinking, including techniques of collecting, organizing, and presenting statistical data.

STAT 201  emphasizes the concepts and methods of statistical inference. Any of STAT 110 , MATH 111 , or MATH 115  provide good preparation for STAT 201 .

STAT 509  or STAT 515  provide thorough introductions to statistical methods, followed by advanced methods in STAT 506 , STAT 518 , STAT 519 , STAT 520 , STAT 525 , STAT 530 . STAT 511 , STAT 512 , STAT 513  provide an introduction to the theory of probability and mathematical statistics.

Bachelor of Science in Statistics

The Bachelor of Science in Statistics includes a general major, a major with an emphasis in actuarial mathematics and statistics,  and an intensive major.

• Statistics, B.S.  

Integrated B.S./M.S. in Statistics

The integrated B.S./M.S. education plan is designed to permit outstanding statistics students to pursue both a B.S. degree and an M.S. degree in statistics in five years. During or after the semester in which the student completes 90 credit hours toward the B.S. degree in statistics, the student may apply to the department to participate in the integrated plan. The application will require the approval of the undergraduate advisor, the graduate director in statistics, and the dean of the College of Arts and Sciences. Provisional admission to and continuation in the integrated plan will require at least a 3.40 overall GPA and at least a 3.40 GPA in both undergraduate statistics and mathematics courses. Students opting for the plan should complete their B.S. requirements by the end of their eighth semester of study. Students admitted provisionally in the plan must take the general Graduate Record Examination before the end of their seventh semester. Continuation in the integrated plan after the eighth semester requires that the student be admitted into the graduate program in statistics through The Graduate School. Upon admission to the graduate program, the student may be eligible for financial assistance from the department. In the fifth year during the first or second summer of graduate study, the student may be eligible for a graduate teaching or research assistantship.

Cognate or Minor for Nonmajors

Students with majors in other departments may supplement their major program of study by selecting a cognate or minor in the statistical sciences.

Cognate in Statistics All courses in statistics numbered 500 and above may be used for cognate credit.

Minors

• Statistics Minor  
• Actuarial Mathematics and Statistics Minor  

Courses

• STAT 110 - Introduction to Statistical Reasoning
• STAT 112 - Statistics and the Media
• STAT 201 - Elementary Statistics
• STAT 205 - Elementary Statistics for the Biological and Life Sciences
• STAT 206 - Elementary Statistics for Business
• STAT 399 - Independent Study
• STAT 506 - Introduction to Experimental Design
• STAT 509 - Statistics for Engineers
• 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 521 - Applied Stochastic Processes
• 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 591 - Data Analysis for Teachers
• STAT 599 - Topics in Statistics
• STAT 600 - Statistics for Applied Management