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Applied Statistics


Contact Applied Statistics  

Applied Statistics

25 University Ave
West Chester, PA 19383

Phone: 610-436-2440
Email: Randy Rieger

MS and Certificate Program Requirements

In STA511, first semester MS students learn the basic computer programming skills necessary for statistical analysis of data, primarily relying on the SAS System software. SAS is the standard software used by pharmaceutical and industrial companies.  By learning the basics of SAS in the first semester, MS students can utilize SAS for data analysis in all subsequent courses.  In subsequent classes, students will then be able to learn statistical computing techniques concurrently with the theory and purpose of more complex statistical techniques. 

First year MS students also study mathematical statistics. In STA505 and STA506, students study the underlying theory of the material taught in the degree program. Thus, even after just one semester, students have an understanding of theoretical statistics and computer programming and are ready to delve into advanced statistical topics using real-life examples. 

Full-time first year students also have the opportunity to take two or three electives from disciplines outside of statistics. Each student can design a minor concentration with a broad range of options to choose from. For example, a student with an interest in medical research can choose biology or health sciences electives to better understand the scientific problems that require statistical analysis in the medical world. A student who is interested in doctoral-level statistics can supplement the required courses with electives in pure mathematics. Other students might choose minor concentrations in psychology, business, marketing, or education.

STA512, STA507, and STA513 give students the skills required to design experiments and perform state-of-the-art analysis on the kind of data found in real-life settings. In each of these classes, critical thinking skills as related to statistical analyses are emphasized.  Moreover, each class strongly emphasizes the ability to effectively communicate complex statistical ideas to non-statisticians. Students are evaluated on their ability to communicate data analysis results and to justify the choice of analysis, through both written reports and oral presentations. Additionally, role-playing scenarios are utilized to train students to communicate effectively in a statistical consulting situation.

STA514 is a culmination of the classroom portion of the program, as students gain experience in critically reading journal articles with regard to their statistical content. Many of the procedures introduced in preceding classes will be reinforced through practical applications. Again, the skills developed in this class will be those highly valued by potential employers.

STA531 is a Special Topics course that changes annually. It is designed to teach students about areas that are of current interest in Applied Statistics, but not covered in depth in other courses. Past and potential topics include data mining, survival analysis, statistical genetics, database marketing, time series, and non-parametric methods. Members of local industry may teach or co-teach STA531 courses.

MS students also have the opportunity to get hands-on experience working with statisticians and scientists by taking STA601 and participating in an internship with a local company.  Upon completion of their internships, students write a summary report and present the results of their research to program faculty.

STA609 and STA610 give thesis-track students the opportunity to conduct supervised research in an area of interest. The thesis may address any topic approved by the

Program Director

, including exploration of a new statistical theory or application of a statistical model to a new problem. The thesis may be interdisciplinary and involve work with professors from multiple departments.  A student may extend his or her thesis work over more than one semester if needed.  Thesis credits cannot be used as a substitute for other required course credits.

The Certificate Program in Applied Statistics requires 19 hours of coursework but does not include the mathematical theory classes included in the MS program.

Important information about the educational debt, earnings, and completion rates of students who attended the Certificate in Applied Statistics program.

Program Prerequisites

Prerequisite courses for the MS program will be a course in Multivariate Calculus and a course in Matrix Algebra. In addition, it will be expected that a student will have completed MAT121 or an equivalent introduction to Statistics.

No background in calculus or other advanced math topics is required for the Applied Statistics Certificate.  The only prerequisite for the Certificate Program is MAT121 or an equivalent introduction to statistics.

Extracurricular Events

For extracurricular events in the Applied Statistics department, and for new student orientation materials for Applied Statistics graduate students, please visit the Applied Statistics Events page.

Course Offerings 2019-20

To view the Applied Statistics department course offerings for the 2019-2020 academic year, click here .

Summer 2018 Course Offerings

Summer I

STA 540- Statistical Consulting

June 26-July 26 - STA539 - Bayesian Modeling


Summer II

STA 534 – Time Series 

Fall 2018 Course Offerings

STA 504 - Mathematical Statistics I with Calculus Review (Crossett)

STA 505 - Mathematical Statistics I (Crossett)

STA 507 - Categorical Data Analysis (Short)

STA 511 - Introduction to Statistical Programming (Gallop, McClintock)

STA 513 - Intermediate Linear Models (Gallop)

STA 531 - Statistical Methods in Clinical Trials (Godbold)

Winter 2018/19 Course Offerings

STA 538 - Statistical Programming Using R (Crossett)

Example Courses & Syllabi

STA 504 Mathematical Statistics I (with calculus review)

STA 505 Mathematical Statistics I

STA 506 Mathematical Statistics II

STA 507 Intro. Categorical Data Analysis

STA 511 Intro. Statistical Computing

STA 512 Principles of Experimental Analysis 

STA 513 Intermediate Linear Models

STA 514 Modern Experimental Design and Sampling Methods

STA 532 Survival Analysis

STA 533 Longitudinal Data Analysis

STA 534 Time Series

STA 535 Multivariate Data Analysis

STA 537 Advanced SAS Programming

STA 538 Statistical Programming Using R

STA 539 Applied Bayesian Methods

STA 540 Statistical Consulting

STA 541 Categorical Data Analysis II

STA 542 Observational Course

STA 543 Statistical Methods in Business and Finance

STA 544 Marketing Analytics

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