The statistics minor is suited for you not only if you will perform your own research as a career, but also to remain current with the latest developments in research. Statistics is a toolbox required for most scientific studies, and in most scientific areas of the job market there is an increasing demand for students with a strong background in statistics and good quantitative skills. Statistics tell us how to collect numerical information in the form of data, evaluate it, and draw conclusions from it. Furthermore, statistics determines what information is relevant in a given problem and whether the conclusions drawn from a study are to be trusted.
The purpose of the statistics minor is to teach the fundamental concepts and the popular applications, so that you can apply the latter on your own and have a basic understanding of the more complicated applications encountered in academic papers.
- The statistics minor requires a total of 18 credits: nine credits of required courses and nine credits of elective courses.
- A minimum of 12 credits of minor coursework must be completed in addition to any courses (required courses or program electives) included in the major curriculum.
- Up to 6 credits of coursework, with an earned grade of “C” or better, taken at another accredited institution, may be applied to the course requirements of the minor upon prior approval of the department chair.
- You should apply to the minor program early in your academic career, usually by the fifth semester of college work, but no later than the end of the drop/add period of the first semester of your last year of didactic work.
- ST 310 Introduction to Biostatistics (Credits: 3)
- ST 331 Regression Analysis (Credits: 3)
- ST 332 Design and Analysis of Experiments (Credits: 3)
- ST 321 Advanced Topics in Probability (Credits: 3)
- ST 322 Advanced Topics in Statistical Inference (Credits: 3)
- ST 333 Categorical Data Analysis (Credits: 3)
- ST 334 Applied Multivariate Analysis (Credits: 3)
- ST 335 Statistics for Clinical Trials (Credits: 3)
- ST 340 SAS Programming and Data Analysis (Credits: 3)
- ST 350 Statistical Software Packages (Credits: 3)
- ST 480 Directed Study in Biostatistics (Credits: 1-3)
- ST 490 Special Topics in Applied Biostatistics (Credits: 3)
- CS 329 Systems Simulation I (Credits: 3)
- MA 201 Mathematical Analysis III (Crdits: 4) or
MA 316 Linear Algebra (Credits: 3)
- Other elective courses as approved by the department.