Real-World Application

The age of Big Data is here. Technological advances over the last century have created trillions of points of data. The challenge for organizations is how to turn all that data into useful information. People that have the skill to manage analyze and provide decision-making insights are in GREAT demand.

Our Ph.D. program is traditional and innovative - applied and theoretical, a Ph.D. for the 21st century. Real-world application, with real-world data, drives our student's learning process. Take a glimpse at some of the exciting findings our students have uncovered as they apply their learning.

Big Data - Big Change

Big Data is changing not only the way we make decisions, but it’s changing the way we think about our health, our transportation, our finances, our communications…almost every dimension of our lives. Translating Big Data into meaningful information is the engine that drives discovery in Biology, Finance, Engineering, Marketing, Sociology, Chemistry and everything in between. The Ph.D. in Analytics and Data Science at Kennesaw State University is a cutting-edge interdisciplinary doctoral program that bridges the divide between application and theory, between academia and industry. The program integrates concepts from Computer Science, Mathematics and Statistics with applications in Business, Healthcare, Transportation and Public Policy, preparing the next generation of Data Scientists.



  • KSU data scientists evaluated 1.7 million Tweets and Yelp reviews to help businesses understand their customers

    Process Improvement

    Using a combination of Yelp reviews and Twitter data, with traditional predictive variables, KSU students have improved sales forecasting processes for several businesses – both large and small. Through mining Yelp reviews, students were able to provide these businesses with unexpected consumer insights – helping them to better serve their customers.

    • KSU data scientists analyzed 12 million health care data points to generate insights into medical device access and usage as people age

      New Insights

      Using data related to family engagement, physical wellness, mental outlook and diseases, this analysis resulted in the development of a new segmentation taxonomy, providing improved insights into the specific device needs of individuals as they age.

      • KSU students examined 300 million infectous disease data points to better understand the human impact of natural disasters

        Better Strategies

        Using this analysis, insights were developed related to how diseases progress and spread throughout a human population after a natural disaster, leading to better strategies for vaccination distribution and the optimal movement of supplies and materials.

        • KSU data scientists examining 1.2 million crime records to better understand how weather impacts crime trends

          Pattern Analysis

          Using this analysis, insights were developed related to crime patterns based upon weather data. As a result, weather forecasts could be used to contribute to determining optimal law enforcement strategies.

          • KSU data scientists evaluating 1.6 billion flight record data points to better predict how weather impacts flight delays

            Finding Relationships

            Using data collected from the U.S. Department of Transportation Bureau of Transportation Statistics, KSU students were able to determine which factors caused the most delays in airline travel and used this information to minimize travel time when flying within the United States during the last three years. Data was also collected from the U.S. Energy Information Administration to show possible relationships between airline fuel and energy consumption and airline delays and cancellations. This information can be used by airlines to help in making decisions when weather and other mitigating circumstances make diverting and cancelling flights necessary.

            • KSU students analyzed 300 million data points to help improve K-12 STEM education in the United States

              Making an Impact

              This analysis resulted in the identification of best practices to attract, retain and provide support for STEM education professionals across the individual sub disciplines of Chemistry, Biology, Mathematics and Physics in K-12 schools. The impacts include increasing student engagement and student intention to enroll in these disciplines after graduation. In 2015, the National Science Foundation recognized this research with a funded award to continue the development of STEM education insights and best practices.

              • Dr. Ying Xie granted a US Patent for information retrieval using language modeling that integrates data from different sources into a unified framework toward user query.

                Innovating Analysis

                Instead of analyzing structured data from neat columns and rows of numbers arranged on spreadsheets, this new search algorithm allows researchers to utilize unstructured data, such as that which exists in email, tweets or texts, for example. They can also perform analysis on video and audio files.