Apr 09, 2025

2025-2026 Undergraduate Catalog

Artificial Intelligence, B.S.A.I.

Print Degree Planner (opens a new window) |

TOTAL DEGREE HOURS: 120
Plan of Study

The Artificial Intelligence program emphasizes the principles, techniques, and applications of artificial intelligence (AI) systems. Core coursework includes machine learning, neural networks, algorithms, operating systems, software engineering, and secure computing. To further broaden and deepen their expertise, students can choose from a wide range of advanced electives in areas such as data mining, deep learning, reinforcement learning, natural language processing, computer vision, robotics, and other topics.

Mission Statement

The mission of the Bellini College of Artificial Intelligence, Cybersecurity and Computing is to transform the role of computing technologies in society by focusing on three key areas:

Delivering High-Demand Academic Programs: Deliver a comprehensive range of undergraduate, graduate, and professional majors, both disciplinary and interdisciplinary, in artificial intelligence, cybersecurity and computing. The majors are pedagogically effective and designed with high standards to be rigorous, relevant and meet the current and future needs of industry, government and society.

Advancing Research Excellence: Focus on innovative investigations and technological advances to elevate the state of artificial intelligence, cybersecurity and computing research. Push the boundaries of knowledge in our fields, facilitating collaboration and innovation across all academic disciplines and fostering an environment that encourages curiosity, creativity and critical thinking.

Promoting Ethics and Trust: Instill a deep sense of responsibility in our students and faculty, emphasizing the importance of secure and trustworthy technology. Through research, curricula, industry partnerships and community engagement, promote ethically driven policies and practices that protect privacy, ensure security and foster social good.

Program Educational Objectives

The Bellini College has established the following program educational objectives for Artificial Intelligence graduates.

Objective 1: Our graduates will apply their knowledge and skills to succeed in their careers and/or obtain advanced degrees.

Objective 2: Our graduates will function ethically and responsibly, and will remain informed though continuing education, and involved as full participants in their profession and society.

Objective 3: Our graduates will creatively solve problems, communicate effectively, and successfully function in multi-disciplinary teams.

Objective 4: Our graduates will apply principles and practices of artificial intelligence and computing grounded in theory and practice to successfully complete AI-related projects to meet customer business objectives and/or productively engage in research.

University Admissions - Bellini College of AI, Cybersecurity and Computing

Admission to the University and College is based on the University’s Undergraduate Admission Requirements that may be found by clicking on the following URLs:

Freshman: https://www.usf.edu/admissions/freshmen/admission-information/requirements-deadlines.aspx
Transfer: https://www.usf.edu/admissions/transfer/admission-information/index.aspx
International: https://www.usf.edu/admissions/international/admission-information/index.aspx

For Admission information specific to the Bellini College, see the information at Bellini College of AI, Cybersecurity and Computing .

Progression Requirements in the Upper Division - Artificial Intelligence, B.S.A.I.

Artificial Intelligence students who have fully met the requirements below and are in good academic standing, may progress into the upper level of the major. Prior to progression into the upper level, a student may take no more than two upper-level Bellini College courses. The college may have continuation requirements, which specify minimum performance standards in core major courses which must be met before further registration is granted.

Ability to register for COP 4530 - Data Structures
A minimum overall GPA of 2.0
A minimum USF GPA of 2.0

College Policies

In addition to the already stated Bellini College graduation requirements, the college has the following additional policy:

Exit interview and/or survey as a graduation requirement.

Required Courses: (87 credit hours)

State Mandated Common Course Prerequisites - Artificial Intelligence, B.S.A.I. (25 credit hours)*

Following Florida BOG Regulation 8.010, state mandated common course prerequisites are lower-division courses that are required for progression into the upper division of a particular baccalaureate degree program.

Transfer students should complete the State Mandated Common Course Prerequisites at the lower level prior to entering the university. If these courses are not taken at a Florida College System institution, they must be completed before the degree is granted. Successful completion of the common prerequisites alone does not guarantee a student admission into the degree program.

Unless stated otherwise, a grade of C is the minimum acceptable grade in prerequisite courses.

COP XXXX** - 3 credit hours
MAC X311 OR MAC X281 Calculus I - 4 credit hours**
MAC X312 OR MAC X282 Calculus II - 4 credit hours**
(PHY X048 AND PHY X048L OR PHY X048C General Physics I with Lab - 4 credit hours**
(PHY X049 AND PHY X049L OR PHY X049C General Physics I with Lab - 4 credit hours**
XXX XXXX*** - 6 credit hours

* All state common prerequisite courses count towards major requirements and are not additional credit hours

** Introductory Programming in C, C++, Java, or equivalent language. Choose programming language required by the university to which the student wishes to transfer.

*** Science courses for Science majors.

State Mathematics Pathway - Artificial Intelligence, B.S.A.I. (7 Credit Hours)*

The Artificial Intelligence BSAI uses the Algebra through Calculus Mathematics Pathway with the following requirements:

MAC 1105 - College Algebra Credit(s): 3 **
MAC 2311 - Calculus I Credit(s): 4

* Mathematics Pathway courses count towards the State Common Prerequisite math courses and are not additional credits.
** Students may place out of MAC 1105 and begin at a higher-level math class.

Major Core Courses: 21 courses; 57 credit hours

Math and Science Courses: 9 courses; 24 credit hours

COT 3100 - Introduction to Discrete Structures Credit(s): 3
EGN 2440 - Probability and Statistics with Calculus Credit(s): 3
EGN 4450 - Introduction to Linear Systems Credit(s): 2
MAC 2311 - Calculus I Credit(s): 4
MAC 2312 - Calculus II Credit(s): 4
PHY 2048 - General Physics I - Calculus Based Credit(s): 3
PHY 2048L - General Physics I Laboratory Credit(s): 1
PHY 2049 - General Physics II - Calculus Based Credit(s): 3
PHY 2049L - General Physics II Laboratory Credit(s): 1

Specialization Courses: 12 courses; 33 credit hours

CAI 4002 - Introduction to Artificial Intelligence Credit(s): 3
CAI 4105 - Introduction to Machine Learning Credit(s): 3
CDA 3103 - Computer Organization Credit(s): 3
CEN 4020 - Software Engineering Credit(s): 3
CIS 1930 - Freshman Seminar for Computing Credit(s): 0
CIS 4250 - Ethical Issues and Professional Conduct Credit(s): 3
CNT 4419 - Secure Coding Credit(s): 3
COP 2510 - Programming Concepts Credit(s): 3
COP 3514 - Program Design Credit(s): 3
COP 4530 - Data Structures Credit(s): 3
COP 4600 - Operating Systems Credit(s): 3
COT 4400 - Analysis of Algorithms Credit(s): 3

Major Electives: 8 courses; 24 credit hours

Artificial Intelligence students must choose 12 hours of AI electives, 3 hours of theory electives, and an additional non-overlapping 9 hours of technical electives (“software”, “hardware”, “AI”, or ”theory”) in the College.

The undergraduate section of the Bellini College website contains the most up to date list of approved artificial intelligence electives. Additional electives may be available with a special topics course number (typically, CIS 4930 ). The prerequisite for most, but not all, college upper-level technical electives is COP 4530 - Data Structures . The prerequisite for AI electives is CAI 4002 - Introduction to Artificial Intelligence . Consult with the undergraduate Bellini College advising team to learn more about available electives. A maximum of six (6) hours of CIS 4900 and/or any other supervised individual study (including CIS 4915 and CIS 4940 ) are allowed as technical electives.

Industry Internship

The college recommends that BSAI students complete an industry internship. Students may earn up to six credit hours, as elective, for CIS 4940 - Industry Internship . No more than three credit hours in any one given company. Internships for CIS 4940 for AI students must be in the area of AI.

Additional Information - Artificial Intelligence, B.S.A.I.

Other Requirements

A student pursuing the Artificial Intelligence major may not pursue a second major while simultaneously enrolled in the Artificial Intelligence undergraduate major.

GPA Requirements

Students must have and maintain a minimum 2.0 semester GPA, 2.0 Math and Science GPA, 2.0 Specialization GPA, 2.0 USF GPA, and 2.0 overall GPA.

Grading Requirements

Unless otherwise stated in the course prerequisites on USF Course Inventory, the minimum acceptable grade in all BSAI required courses is a C or higher (C- is insufficient).

Residency Requirements

Transfer students must complete a minimum number of approved specialization courses in the major at USF. The minimum number of USF specialization credit hours required is established by the respective academic department or college. In no case will this be less than 18 hours. The University residency requirement must also be met.

A dual degree student must meet the requirements of each major and have a minimum of 18 approved specialization hours taken in the degree granting department or college beyond those specialization hours required for the first degree.

Internship Opportunities

The Bellini College and the USF Center for Career and Professional Development Cooperative Education (Co-Op) program provides services for students interested in experiential educational experiences. A wide variety of industries and government agencies offer internships and cooperative education employment opportunities for students. Participants gain valuable expertise in practical applications and other aspects of operations and development in a professional environment. Students normally apply for participation in this program during their first year and pursue actual internships during their sophomore, junior and senior years. See the Bellini College advising team for more information on earning academic credit for internships.

Research Opportunities - Bellini College of AI, Cybersecurity and Computing

Undergraduate students in any degree program are able to participate in undergraduate research. Several options exist to show mentored undergraduate research activity on a student’s official transcript. Those who wish to enroll in an undergraduate research course should consult with their academic advisor to understand how the credit will apply towards the degree requirements. If no credit is needed, students may be eligible to enroll in the 0-credit IDS 4914 - Advanced Undergraduate Research Experience course. This course will not impact degree credits or GPA but will show on an official transcript and document the experience. The Office of Student Engagement in Research and Innovation (SERI) is able to assist with further inquiries.

Advising Information - Artificial Intelligence, B.S.A.I.

Bellini College Undergraduate Advisors: https://www.usf.edu/ai-cybersecurity-computing/academics/undergraduate/advising.

University of South Florida

Main Navigation