Master in Data Science and Analytics

The master of science in data science and analytics (msdsa) program at kennesaw state university is a dynamic 36-semester-hour graduate degree designed to prepare a diverse student body for successful careers in data science and analytics. 

This comprehensive program focuses on providing essential knowledge, techniques, and tools through hands-on experiences and collaboration with faculty integrating real-world data into courses. Key program features include:

• Analytical Programming Proficiency: Mastery of essential programming languages such as R, Python, and SAS, ensuring readiness for the evolving workforce.
• Corporate Collaboration: Direct collaboration with leading companies each semester through sponsored project courses, providing practical, real-world experience. Past sponsors include Equifax, Travelers, Southern Company, IHG, Shaw Flooring, Truist Bank, Spanx, Atlanticus, and Coke One North America.
• Distinctive Capstone Options: A range of capstone experiences, including internships, applied research projects, collaboration with faculty on research initiatives, and participation in a Center for Data Science and Analytics-sponsored lab. The emphasis on effective communication and presentation skills sets graduates apart in job searches.

Program Requirements
Required Courses (12 Credit Hours):

• STAT 7010 - Mathematical Statistics I
• STAT 7020 - Statistical Computing and Simulations
• STAT 7100 - Statistical Methods
• STAT 7210 - Applied Regression Analysis

Select one from the following (3 Credit Hours):

• STAT 7125 - Design and Analysis of Human Studies
• STAT 7220 - Applied Experimetal Design

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

• STAT 7125 - Desing and Analysis of Human Studies (if not selected above)
• STAT 7220 - Applied Experimental Design (if not selected above)
• STAT 7225 - Applied Longitudinal Data Analysis
• STAT 7240 - Applied Data Mining or STAT 8240 - Data Mining I (credit will not be awarded for both)
• STAT 7310 - Applied Categorical Data Analysis
• STAT 8220 - Time Series Forecasting
• STAT 8320 - Applied Multivariate Data Analysis
• STAT 8330 - Applied Binary Classification

Required Project (6 to 9 Credit Hours):

Minimum of 6 credit hours are required. Students can take any of the courses here multiple times for credits. But maximally 9 credit hours can be applied for the degree. A written report (a project proposal, a project status update, or a final project report) is required by the end of each semester when any amount of the credits are taken. 

• STAT 7916 - Cooperative Education
• STAT 7918 - Internship
• STAT 7940 - Applied analysis Project

Course Forecast
Every Semester

• STAT 7010 -  Mathematical Statistics I
• STAT 7020 - Statistical Computing and Simulation
• STAT 7100 - Statistical Methods
• STAT 7210 - Applied Regression Analysis
• STAT 7220 - Applied Experimental Design
• STAT 7900 - Applied Analytics Project Course

Spring Semester

• STAT 7120 - Advanced SAS Programming
• STAT 8220 - Applied Time Series Analysis (Even Numbered Years)
• STAT 8320 - Applied Multivariate Data Analysis (Odd Numbered Years)
• STAT 8330 - Applied Binary Classification
• DS 7140 - Python for Data Science

Fall Semester

• STAT 7110 - Quality Control & Process Improvement (Even Numbered Years)
• STAT 7130 - Programming in R
• STAT 7235 - Applied Longitudinal Data Analysis (Even Numbered Years)
• STAT 7240 - Applied Data Mining
• STAT 7310 - Applied Categorical Data Analysis (Odd Numbered Years)

As Needed

• STAT 7125 - Analysis of Human Studies
• STAT 7916 - Co-Operative Experience
• STAT 7918 - Internship
• STAT 7940 - Applied Analysis Project