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Master's

Master of Science in Artificial Intelligence

University of South Florida Bellini College of Artificial Intelligence, Cybersecurity and Computing 29 courses 19 total credits

About This Program

Bellini College of Artificial Intelligence, Cybersecurity and Computing AICC Belini College Department (AICC) Major Contacts, Deadlines, and Delivery Information The Master of Science in Artificial Intelligence (M.S.A.I.) provides comprehensive training in foundational computer science and artificial intelligence concepts while emphasizing practical applications and real-world problem-solving. Designed for students with or without an undergraduate degree in Computer Science or Computer Engineering, the program equips graduates with the technical skills necessary to transition into AI-focused roles across various industries. The M.S.A.I. is available in both in-person and online formats (offered synchronous or asynchronous depending on the course and the semester), offering flexibility to accommodate diverse learning needs. Due to the interdisciplinary nature of AI and the diverse applications it encompasses, students are encouraged to work closely with the Graduate Director to develop a cohesive plan of study tailored to their individual goals. Major Research Areas: Machine learning (ML), neural networks, deep learning, natural language processing (NLP), computer vision, robotics and autonomous systems, knowledge representation and reasoning, ethics and policy in AI, AI tools and frameworks, AI in healthcare, finance, education, marketing, and other industries

Degree Requirements

Total Credits 19 credits

Core Requirements

Successful completion with a letter grade โ€œBโ€ or better of the two core graduate-level courses is required.

Code Course Title Credits
CAI 5005 Introduction to Artificial Intelligence 3
CAI 5035 Mathematics for Artificial Intelligence 3
Total Core Requirements 6 credits

Additional Required Courses (6 Credit Hours Minimum)

All students complete the following with a letter grade of โ€œBโ€ or better (6 Credit Hours): Also required: Students with a non-computing background must also complete the following with a letter grade of โ€œBโ€ or better (10 Credit Hours):.

Electives (9 Credit Hours Minimum)

Students must take a minimum of nine (9) credit hours; students with a computing background will need to take a minimum of ten (10) credit hours. With prior permission from the Graduate Director, students can take a maximum of three (3) hours of Independent Study or Internship, a maximum of three (3) hours of one-hour seminar courses. Graduate elective courses are separated into two categories: deepening and broadening. Students must select at least six (6) hours from the list of deepening electives and at least three (3) hours from the list of broadening electives in consultation with the Graduate Director. Examples of deepening AI courses (6 Credit Hours): taken as: Topics in NLP (3...

Thesis Option (9 Credit Hours Minimum)

The thesis option is only available to students with the computing background and requires nine (9) credit hours of thesis in cybersecurity related problems, as determined by the Major Professor and documented in the Plan of Work.

Code Course Title Credits
CIS 6971 Thesis: Masterโ€™s 2-19

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Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.

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