Doctor of Philosophy in Data Science and Analytics
Course Overview
Kennesaw State University's PhD in Data Science and Analytics prepares the next generation of leaders to translate complex, unstructured data into actionable insights for strategic decision-making. This interdisciplinary program, founded at the forefront of the discipline, combines rigorous training in computer science, statistics, and mathematics with a strong emphasis on ethical practices and real-world application. Students engage in meaningful research with faculty across eleven colleges, developing not only technical expertise but also the critical communication skills necessary to drive innovation in academia and industry.
Key Program Highlights
- Interdisciplinary curriculum at the intersection of computer science, statistics, mathematics, and business
- Choice of specialized concentrations in Computer Science, Statistics, or mHealth
- Opportunities for relevant, impactful research with faculty across eleven colleges
- Heavy emphasis on programming, data mining, statistical modeling, and mathematical foundations
- Dedicated focus on ethical data practices, communication skills, and real-world application
Course Overview
Kennesaw State University's PhD in Data Science and Analytics prepares the next generation of leaders to translate complex, unstructured data into actionable insights for strategic decision-making. This interdisciplinary program, founded at the forefront of the discipline, combines rigorous training in computer science, statistics, and mathematics with a strong emphasis on ethical practices and real-world application. Students engage in meaningful research with faculty across eleven colleges, developing not only technical expertise but also the critical communication skills necessary to drive innovation in academia and industry.
Key Program Highlights
- Interdisciplinary curriculum at the intersection of computer science, statistics, mathematics, and business
- Choice of specialized concentrations in Computer Science, Statistics, or mHealth
- Opportunities for relevant, impactful research with faculty across eleven colleges
- Heavy emphasis on programming, data mining, statistical modeling, and mathematical foundations
- Dedicated focus on ethical data practices, communication skills, and real-world application
