Master in Data Science and Analytics (MSDSA)

The Master in Data Science and Analytics (MSDSA) degree will teach you to use cutting-edge applied statistical methods to make accurate and meaningful inferences from data obtained from business, industry, government and health services. This graduate program also incorporates the use of a wide variety of commercial software to train you to effectively analyze real-world data and analytics.

Customize the MSDSA curriculum based on your particular area of interest, including:

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

The Data Science and Analytics master's is intended for professionals with undergraduate degrees in the sciences, engineering or business.

Master of Science in Applied Statistics and Analytics students

Program Snapshot

Program Format: Face-to-Face 

Number of Credit Hours: 36 Total Hours

Entry Terms: Fall, Spring

Time to Complete: Two-year Program

Application Deadlines:

  • Fall, May 1st
  • Spring, November 1st
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Admissions Requirements

  • 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 ksugrad@kennesaw.edu.
  • GRE Score Report - Request that your scores be sent electronically to KSU (school code 5359). No department code is necessary. 
  • Resume - Can be uploaded into the online application. 
  • Completion of Calculus I & Calculus II (Optional). 
  • Statement of Personal Goals (Optional) - Can be uploaded into the online application.
  • Letters of Recommendation (Optional) - Can be sent electronically through the online application. 
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Data Science and Analytics Degree Benefits at Kennesaw State

KSU’s Data Science and Analytics degree program offers many unique training exercises not found in other statistics graduate programs, including:

  • Statistical Computing – Starting in your first semester, you will learn analytical programming languages such as SAS, R, and Python.

  • Applications Project – You will complete an applied research project based on data from your place of employment, an internship or co-op, or from work done with a faculty member. As part of the project, you will turn in a written report demonstrating the analytical skill sets that you have mastered.

  • Emphasis on Communication of Results – Communicating your methods and results is vital when using statistics to convert data into actionable information. The MS in Data Science and Analytics will teach you how to write clear, concise reports and make professional-quality presentations that communicate your research so it is easily understood.

What can you do with a Data Science and Analytics degree?

  • Statistician
  • Actuarial Analyst
  • Mathematician
  • Biostatistician
  • Statistical Epidemiologist
  • Data Scientist
  • Sports Analyst
  • Financial Analyst
  • Computer Scientist
  • Data Engineer

Data Science and Analytics Salary and Career Information

School of Data Science and Analytics

Kennesaw State University
School of Data Science and Analytics

3391 Town Point Dr. NW
Suite 2400, MD #9104
Kennesaw, GA 30144

Phone: 470-578-6568

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