Program Description
Kennesaw State University’s Ph.D. with a major in Data Science and Analytics is an advanced degree, which trains individuals to translate large, structured and unstructured, complex data into information to improve decision-making, and become independent researchers. This highly interdisciplinary curriculum includes heavy emphasis on programming, machine learning, artificial intelligence, data mining, statistical modeling, and the mathematical foundations to support these concepts. The program also emphasizes communication skills, data ethics, and application of results to business and research problems. Graduates can pursue a position in the private or public sector as a “practicing” Data Scientist or a position within academia, where they are uniquely qualified to teach the next generation of data scientists.
This program is a part of the College of Computing and Software Engineering .
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Admission, Enrollment, and Graduation Policies
Admission Requirements
The following are program-specific requirements beyond the general Graduate Admissions requirements. To be considered for admission to this program, the following application materials must be submitted to the KSU Graduate Admissions Office:
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GRE Score Report - Minimum Quantitative score is 160. Preferred Analytical Writing Score of 3.5.
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Resume or CV
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Statement of Intent describing how this degree facilitates your career goals.
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Three Letters of Recommendation
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Successful completion of Math courses through Calculus II
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Proficiency in at least one analytical programming language (e.g., Python, SAS, R).
Admission Criteria for Unique Cases
Currently, there are no exceptions to the admission requirements.
Transfer Credit
No credit from outside institutions is accepted for this degree program.
Graduation Requirements
Each candidate must petition to graduate at least one semester prior to completion of program requirements. For more information, please view the corresponding section of Academic Policies: 5.0 PROGRAM REQUIREMENTS & GRADUATION .
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Program Course Requirements