Program Mission

The Master of Science in Applied Statistics Program (MSAS) at Kennesaw State University is a professional degree program which seeks to prepare a diverse student body to utilize cutting-edge applied statistical methods to enable correct, meaningful inferences from data obtained from business, industry, government and health services. The use of a wide variety of commercial software will be emphasized to ensure graduates can effectively analyze real-world data.

Program Description

The MSAS program is a 36 semester-hour applied graduate program designed to meet the needs of business, industry, and government. The program is intended for professionals or students with undergraduate degrees in the sciences, engineering, or business.

The MSAS program differs from traditional statistics graduate programs in the following areas:

  1. Statistical Computing: Starting the first semester the student will utilize statistical programs such as SAS, JMP, and Minitab to analyze data and present graphical summaries;
  2. Applications Project: Students will complete an applied project based on data from their place of employment, from an internship or co-op experience or from work done with a faculty member. Students will turn in a written project report demonstrating the analytical skill sets mastered by the students;
  3. Emphasis on Communication of Results: Because communication of methods and results is vital in using statistics to convert data into actionable information, students will learn to write clear, concise reports and make professional quality presentations describing the inferences to be made from statistical analyses.

MSAS Curriculum

Required Courses (12 Credit Hours)

  • STAT 7010 - Mathematical Statistics I
  • STAT 7020 - Statistical Computing and Simulation
  • STAT 7100 - Statistical Methods
  • STAT 8210 - Applied Regression Analysis

Select one from the following (3 Credit Hours):

  • STAT 8120 - Applied Experimental Design
  • STAT 8125 - Design and Analysis of Human Studies

Select at least two from the following (6 Credit Hours):

  • STAT 8120 - Applied Experimental Design (if not selected above)
  • STAT 8125 - Design and Analysis of Human Studies (if not selected above)
  • STAT 8220 - Time Series Forecasting
  • STAT 8225 - Applied Longitudinal Data Analysis
  • STAT 8240 - Data Mining
  • STAT 8310 - Applied Categorical Data Analysis
  • STAT 8320 - Applied Multivariate Data Analysis
  • STAT 8330 - Applied Binary Classification

Any other course with a STAT prefix (with the exception of STAT 9100 and STAT 9200) may be used to complete the degree requirements.

  • STAT 7900 - Special Topics
  • STAT 8020 - Advanced Programming in SAS
  • STAT 8030 - Programming in R
  • STAT 8110 - Quality Control and Process Improvement
  • STAT 8140 - Six Sigma Problem Solving
  • STAT 8940 - Applied Analysis Project


Up to nine hours may be substituted, with the permission of the Program Coordinator.

Program Total (36 Credit Hours)

MSAS - Areas of Interest

  • Categorical Data Analysis
  • Data Mining
  • Measurement System Analysis
  • Modeling Data
  • Performance Improvement Methods
  • Quality Control
  • Six Sigma
  • Statistical Computing
  • Statistical Methods


  • Online Graduate Application - There is a non-refundable $60 application fee.
  • Transcripts - Official transcripts from EACH College and/or University you have attended. Must be in a sealed envelope from the institution or sent electronically from the institution directly to
  • GRE Score Report - Request that your scores be sent electronically to KSU (school code 5359). No department code is necessary.
  • Resume - Can be uploaded to the online application.
  • Completion of Calculus I & Calculus II (Preferable before application deadline).
  • Statement of Personal Goals (Optional) - Can be uploaded into the online application.
  • Letters of Recommendation (Optional) - Can be sent electronically through the online application.
Program taught in:
  • English

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Last updated April 29, 2019
This course is Campus based
Start Date
Sep 2019
22 months
290 USD
Resident tuition fee for 1 credit hour: $290.00. Non-resident tuition fee for 1 credit hour: $1,045.00. Other fees may apply.
By locations
By date
Start Date
Sep 2019
End Date
June 30, 2021
Application deadline

Sep 2019

Application deadline
End Date
June 30, 2021