Ph.D. Data Science and AI at University of South Florida

Programme overview

The Ph.D. in Data Science and AI is an interdisciplinary programme on the design, development and integration of intelligent computational systems that learn, reason and adapt, and on extracting knowledge from large, diverse data sets. Faculty come from AI, computer science, engineering, data science, business, arts and sciences and public health, and students build theoretical foundations and applied research skills in machine learning, intelligent systems architecture, autonomous computing and AI-driven decision-making.

Faculty: Bellini College of Artificial Intelligence, Cybersecurity and Computing | Department: Dean's Office | Duration: 72 credit hours minimum post-bachelor's | Study mode: full-time | Location: Tampa, FL, United States

What you will study

Core in Introduction to Artificial Intelligence and Design Science Research Seminar; human issues courses (ethics, data communication, causality and experimentation), computational factors (AI/deep learning, machine learning/data mining), mathematical and statistical courses (statistics, optimization), a 3-hour practicum or independent study, a qualifying exam based on a research paper, and at least 29 dissertation hours. Students without a computer science background complete 10 hours of foundation courses.

Official programme page

Application information

Entry requirements

University admission and English proficiency requirements apply. Three letters of recommendation, personal statement, resume/CV, transcripts. Master's degree in a relevant area preferred. Prior training or experience in technology such as programming through data structures, database management, linear algebra, networking and graph theory is reviewed by an interdisciplinary Doctoral Program Committee. GRE is suggested but not required.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Doctoral admission is offered for Fall, Spring and Summer semesters.

Final university deadlines for doctoral programmes: February 15 for Fall, October 15 for Spring, February 15 for Summer. Programme-specific priority deadlines apply for funding and consideration.

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