PhD in Data Science and Analytics
Complete the form below to receive the latest program information and important dates for admissions.
Or email datascience@kennesaw.edu
By submitting your information, you consent to KSU using the information to contact you via phone, text message, or email for informational and promotional purposes. more To learn more about how KSU collects and processes personal data, read our Privacy and Legal Notice.
Transform Data Insights into Action
Earn your PhD in Data Science and Analytics at Kennesaw State University in metro Atlanta. This interdisciplinary program combines computer science, statistics, mathematics, and business to prepare leaders and researchers for impactful, data-driven innovation that addresses global and societal challenges.
Program Snapshot:
- Format: In Person
- Credit Hours: 72
- Cost: See FAQ Section below
- Entry Terms: Fall
- Time to Complete: 4 years
- Application Deadlines:
- Fall: February 1 [Extended to Feb 15, 2026]
Info Session:
Attend an online information session to learn about the program, admissions requirements, and next step actions. Sign up for scheduled session dates and times that are added throughout the year.
View Information Session Details to AttendCareer Options
Frequently Asked Questions
-
How much does the program cost, and how long does it take to complete?
This is a traditional, in-residence, STEM Ph.D. program - not a professional doctorate. Therefore, qualified students will receive a tuition waiver and a research stipend. This program typically takes four years to complete. -
Who would be successful in the program?
Strong candidates have an undergraduate/MS degree in a quantitative field (i.e. Engineering, Economics, Mathematics, Statistics, Finance). Successful applicants will have experience with programming languages, as well as have completed a calculus series. -
How do I qualify for the research stipend?
The application for the research stipend is considered at the same as admittance to the Ph.D. program. A committee of faculty associated with the School and the Ph.D. program evaluate the application materials. Once admitted, the Ph.D. student will be required to execute a research project with an external sponsor in the private or public sector.
Kennesaw State University has relationships with dozens of organizations across a wide range of application domains to ensure that you have the opportunity to participate in projects aligned with your research interests.
-
What are the publication/research requirements?
To successfully complete the program, you will be required to complete and defend a doctoral research dissertation. Working with your faculty research advisor, you will also submit research papers to competitive conferences and peer-reviewed journals. Your research projects should be aligned with your project engagement requirement. -
Do I have to have a Master’s to apply?
Technically, a Master’s degree is not required to apply. However, every admitted student in previous cohorts has completed a Master’s degree and many have had previous research or professional experience. If you have a quantitative Bachelor's degree, you can apply for the PhD in Data Science and Analytics through our Embedded Pathways.
Program Benefits
- Flexibility: The interdisciplinary approach prepares you for different career paths, from academia to industry research.
- Modernized Curriculum: Concentration options include Computer Science, Statistics, or mHealth.
- Real-World Experience: Hands-on data research projects with faculty and industry partners.
Department Contact Information
College of Computing and Software Engineering
Kennesaw State University
School of Data Science and Analytics
680 Arntson Drive
Suite J3411, MD 9044
Marietta, GA 30060
Hours: 8 a.m. – 5 p.m. (M-F)
Phone: (470) 578-2865
Email: datascience@kennesaw.edu


