General Requirements for an Option-A Minor in Statistics:

The Statistics Department offers two possible options for a Minor in statistics. Please carefully read the requirements below. Requests for further information should be addressed to the faculty member acting as Minors Advisor in the Statistics Department. See the Curriculum& Degree Requirements Committee page.

• Statistics Minor Option
• Applied Statistics Minor Option

Statistics Minor Option

1. For admission for an Option-A Minor in Statistics, the candidate must have had at least one year of calculus, and an introductory knowledge of Statistics that is satisfactory to the Department. Stat 224, 201, or 301 or an equivalent course is sufficient for this purpose.
2. The minor must include one of the following series: Stat
   309, 310 or Stat 311, 312 or Stat 313, 314, or 609, 610 or 709, 710, plus a minimum of six credits in statistics chosen from other courses listed below in Group I. However, the candidate may choose three of these six credits from either Group II below or any other course in the University of suitable statistical content if approved by the Minor Program Advisor in the Department of Statistics. The courses taken by a particular student should depend on the student’s major field or individual needs.
3. The student should have a program of study approved by the Minor Program Advisor in the Department of Statistics and the student's major professor, early in the student's graduate work. The proposed program should be submitted to and approved by the Minor Program Advisor in Statistics before the six credits in excess of the required courses are taken.
4. The student must achieve a 3.00 GPA in courses used to satisfy the minor requirement.

Note: Candidates for an Option-A Minor in Statistics must be aware of the following Graduate School requirement according to which: "One course (i.e., one semester course, and only one!) cross-listed with the major may be used for the minor so long as it is staffed by the minor department and is not applicable to any requirements for the major. For more information on the Graduate School requirements please go to Degrees, Minors & Certificates."

GROUP I: COURSES IN STATISTICS

• Stat 309 & 310 - Introduction to Mathematical Statistics (for majors in Mathematics & Statistics)
• Stat 311 & 312 - Introduction to Mathematical Statistics (for majors in Engineering, the Natural, Agricultural and Life Sciences)
• Stat 313 & 314 - Introduction to Mathematical Statistics (for majors in Business & Social Science)
• Stat 333 - Applied Regression Analysis
• Stat 349 - Introduction to Time Series
• Stat 351 - Introductory Non-Parametric Statistics
• Stat 411 - An Introduction to Sample Survey Theory and Methods
• Stat 421 - Applied Categorical Data Analysis
• Stat 424 - Statistical Experimental Design for Engineers
• Stat 456 - Applied Multivariate Analysis
• Stat 471 - Introduction to Statistical Data Processing
• Stat 542 - Introduction to Clinical Trials
• Stat 572 - Statistical Methods for Bioscience
• Stat 609 & 610 - Mathematical Statistics (MS level)
• Stat 641 - Statistical Methods for Clinical Trials
• Stat 642 - Statistical Methods for Epidemiology
• Stat 692 - Special Topics in Statistics
• Stat 701 & 702 - Applied Time Series Analysis -Forecasting and Control
• Stat 709 & 710 - Mathematical Statistics (Ph.D. level)
• Stat 732 - Large Sample Theory of Statistical Inference
• Stat 741 - Survival Analysis Theory & Methods
• Stat 749 &750 - Mathematical Models and Response Surface Methodology
• Stat 760 - Multivariate Analysis I
• Stat 761 - Multivariate Analysis II
• Stat 771 - Statistical Computing
• Stat 775 - Introduction to Bayesian Decision and Control
• Stat 803 - Experimental Design
• Stat 809 - Nonparametric Statistics
• Stat 811 - Sample Survey: Theory and Methodology
• Stat 824 - Nonlinear Regression Analysis
• Stat 826 - Theory of Life Testing and Reliability
• Stat 829 & 830 - Decision Theory
• Stat 840 - Statistical Model Building and Learning
• Stat 841 - Nonparametric Statistics and Machine Learning Methods
• Stat 842 - Hypothesis Testing
• Stat 849 & 850 - Analysis of Variance
• Stat 851 - Generalized Linear Models
• Stat 853 - Bayesian Inference
• Stat 860 - Estimation of Functions From Data
• Stat 992 - Seminar

GROUP II: COURSES JOINTLY LISTED IN STATISTICS & MATHEMATICS OR COMPUTER SCIENCE

• Math 431 - Introduction to the Theory of Probability
• Math 475 - Introduction to Combinatorics
• Math 632 - Introduction to Stochastic Processes
• Math 726 - Non-linear Programming Methods
• Math 831 - Theory of Probability
• Math 832 - Topics in Probability
• Math 833 - Topics in Probability
• CS 525 - Linear Programming Methods

APPLIED OPTION for the STATISTICS MINOR

The "Applied Statistics" Minor, for PhD students not in the Statistics Department, is designed to provide basic training in statistical methods to students whose background lacks calculus.(*) The requirements are a successful completion (that is, B or better in each course) of 12 or more credits selected from the following Statistics courses:

• Stat 302 - Introduction to Statistical Methods
• Stat 333 - Applied Regression Analysis
• Stat 349 - Introduction to Time Series
• Stat 351 - Introduction to Non-parametric Statistics
• Stat 411 - Introduction to Sample Survey Theory and Methods
• Stat 421 - Applied Categorical Data Analysis
• Stat 424 - Statistical Experimental Design for Engineers
• Stat 456 - Applied Multivariate Analysis
• Stat 542 - Introduction to Clinical Trials
• Stat 572 - Statistical Methods for Bioscience II
• Stat 641 - Statistical Methods for Clinical Trials
• Stat 642 - Statistical Methods for Epidemiology
• Stat 692 - Special Topics in Statistics

Other upper division (7-800) statistics courses, subject to approval by the minor program advisor in statistics, can be used in place of these. Students with some undergraduate statistics preparation would not be able to count courses covering the material they have already completed.

*Students with calculus backgrounds or from quantitative programs would normally take the Statistics Minor. The particular courses for this option are subject to approval from the minor advisor.