College of AI, Cyber and Computing

UT San Antonio's College of AI, Cyber and Computing (CAICC) is driven by the goals of educating students in artificial intelligence (AI), computing, cybersecurity, and data science and achieving global recognition as a world-class public research university that is future-oriented and urban-serving. The College of AI, Cyber and Computing positions the university as a leader in the rapidly evolving landscape of advanced technologies by strengthening the economic and workforce impact through the production of highly skilled and innovative graduates, not only for San Antonio but across Texas, the nation, and beyond. The College is comprised of four academic departments, 8 bachelor's degrees, and six minors.

Department of Computer Engineering

  • Bachelor of Science Degree in Computer Engineering

    • AI and Autonomous Systems Concentration

    • Computer Systems Concentration

    • Digital Hardware Concentration

    • Network and IoT Concentration

    • Systems/Computer Programming Concentration

    • Integrated B.S./M.S. Program

Department of Computer Science

  • B.S. Degree in Computer Science
    • Concentration in Cloud and Systems
    • Concentration in Cybersecurity
    • Concentration in AI and Data Science
    • Concentration in Software Engineering
    • Cyber Operations Track
  • B.A. Degree in Computer Science with Teaching Track
  • B.S. Degree in Software Engineering
  • Minor in Computer Science

Department of Information Systems and Cybersecurity

  • B.B.A. degree in Cybersecurity (Online)
  • B.S. degree in Applied Cyber Analytics
  • B.S. degree in Cybersecurity
  • B.S. degree in Information Systems and Technology
  • Minor in Cybersecurity
  • Minor in Digital Forensics
  • Minor in Information Systems and Technology
  • Minor in Enterprise Technology Administration

Department of Statistics and Data Science

  • B.S. degree in Statistics and Data Science
    • Accelerated M.S. in Statistics and Data Science 
  • Accelerated M.S. in Data Analytics
  • Minor in Statistics

Direct Admission Requirements

As of Fall 2027, all applicants seeking admission to the College of AI, Cyber and Computing at UT San Antonio should refer to any direct admission requirements for their majors on their respective department catalog pages.

Mathematics Readiness

All applicants seeking admission to the College of AI, Cyber and Computing at UT San Antonio are expected to have a strong mathematical foundation for pursuing any degrees within this college. Each department in the College of AI, Cyber and Computing has its own requirements in terms of math readiness, which can also impact admission requirements. All students are required to take their first math course required for their respective degree programs within the first three semesters at UT San Antonio. Equivalent or prerequisite courses for math courses may come from other college-level or dual credit courses, Advanced Placement, CLEP, and International Baccalaureate exams. If applicable, students can also take the ALEKS Mathematics placement assessment to ensure they are placed in the mathematics course that is best suited toward their needs.

Department of Computer Engineering

All applicants seeking to declare a Computer Engineering major must be qualified to register for MAT 1213 – Calculus I or a higher-level mathematics course. Incoming Freshman or Freshman Transfer Computer Engineering majors are expected to take MAT 1213 or a higher-level mathematics course in their first semester.

Department of Computer Science

All applicants seeking to declare a major in Computer Science or Software Engineering major must be qualified to register for MAT 1073 - Algebra for Scientists and Engineers, an approved equivalent, or a higher-level course. It is highly recommended that applicants for a Computer Science or Software Engineering major be qualified to register for MAT 1213 - Calculus I or a higher-level mathematics course. Incoming Freshman or Freshman Transfer Computer Science majors are expected to take MAT 1213 or a higher-level mathematics course in their first semester.

Department of Information Systems and Cybersecurity

All Bachelor of Science applicants seeking to declare a major in Applied Cyber Analytics, Cybersecurity, or Information Systems and Technology must be qualified to take MAT 1093 - Precalculus or higher, an approved equivalent, or a higher-level mathematics course in their first semester. All Bachelor of Business Administration in Cybersecurity Online applicants must be qualified to take MAT 1053 - Mathematics for Business, an approved equivalent, or a higher-level mathematics course in their first semester.

Department of Statistics and Data Science

All applicants seeking to declare a major in Statistics and Data Science must be qualified to register for MAT 1213 - Calculus I or a higher-level mathematics course. Incoming Freshman or Freshman Transfer Statistics and Data Science majors are expected to take MAT 1213 or a higher-level mathematics course in their first semester.

College of AI, Cyber and Computing Student Success

USAA Student Success Center

The College of AI, Cyber and Computing USAA Student Success Center serves as the hub for all student engagement and support activities within the college. The USAA Student Success Center is dedicated to helping students prepare for their future careers through peer mentoring, student enrichment activities, experiential learning, and academic and career development programs.

Visit the College of AI, Cyber and Computing USAA Student Success Center website for more information about any their events and programs including the programs listed below.

Academic and Career Development

All undergraduate students in the College of AI, Cyber and Computing are encouraged to participate in academic and career-development programs offered by the College of AI, Cyber and Computing Student Success Center. These programs complement students’ coursework and focus on building students’ academic and career-readiness skills to increase their marketability and competitiveness for the global workforce. 

Signature Experiences and Experiential Learning

The College of AI, Cyber and Computing offers many opportunities for undergraduate students to gain real-world experiences and learn about the broader impacts of their fields of study through experiential learning. All students are encouraged to participate in a Signature Experience which includes professional and leadership development, research, internship, study abroad, and community outreach and service learning. While Signature Experiences should be completed as capstones near the end of their program, students can participate at any time while they are at UT San Antonio. Signature Experiences are generally based in credit-bearing courses within their own disciplines. Zero-credit hour options are also available for eligible experiential learning experiences for students who do not need academic credit.  

Each department and major has their own guidelines, procedures, and qualifying Signature Experiences. Note that Computer Engineering majors are required to complete a Signature Experience as a condition for graduation. Students should consult with their faculty Undergraduate Advisor of Record of their major.

Internship for Academic Credit Policy

The College of AI, Cyber and Computing encourages students to pursue internships with their major fields of study to gain real-world knowledge and skills, network with professionals in the field, and gain deeper understanding of their major field. Internships serve as a bridge between academia and industry where students gain meaningful and authentic experiences by applying what they have learned in real-world settings. Academic credit for an internship can be given if academic work is completed by the student in conjunction with the internship and if it is supervised by a designated faculty member within the College.

To be eligible enroll in an internship for academic credit:

  • The student must be a declared major in the College of AI, Cyber and Computing.
  • The student must be in Good Academic Standing. Some majors may require additional minimum academic requirements. 
  • The student must have completed at least Junior standing (60 semester credit hours) with at least 12 semester credit hours completed at UT San Antonio and meet all internship course prerequisites and major, department, and College requirements before enrolling in an internship course.
  • The student must have already secured the internship job, which must take place within the semester in which academic credit is sought. The student is responsible for seeking approval from their faculty supervisor and for enrolling in the internship course following the standard university registration timeline. Academic credit cannot be retroactively given to internships completed in the past.
  • The internship must meet all department and College definitions and requirements to be considered eligible for academic credit. These requirements include, but are not limited to:
    • The internship must be in or related to the student’s declared major.
    • Per Department of Labor guidelines, the student must be paid minimum wage or higher if the internship is at a for-profit company.
    • The internship must last at least 160 hours. Some majors may require additional minimum academic requirements. 
    • If a student is already employed at the company/organization, the internship must be a distinctly different and separate position from their regular job.
    • The student cannot pursue internships where they are self-employed, the company/organization is owned or managed by the student’s family, or where the primary activity is training.

Students seeking academic credit for their internship will need to apply to enroll in the internship course. The student’s faculty supervisor, department internship coordinator and chair, and the College, will verify the internship employment terms and evaluate its eligibility for academic credit. Only approved applications will permit students to enroll in the internship academic course. Students should consult with their departments for more information about program-specific requirements and application processes.

College Honors and Distinguished Student Programs

The College of AI, Cyber and Computing Honors and Distinguished Student Programs recognize outstanding students actively engaged in co-curricular academic, career-development, and enrichment experiences. 

To graduate with College of AI, Cyber and Computing Honors, students must be admitted to the Honors College and complete all Honors College requirements. Additionally, three of the six required Honors College Experiences must qualify as College of AI, Cyber and Computing Honors Experiences. This program is offered in collaboration with the UT San Antonio Honors College.

To graduate with College of AI, Cyber and Computing Distinguished Student recognition, students must have an overall GPA of 3.0 or higher and complete at least three qualifying College of AI, Cyber and Computing experiential learning experiences. Students must apply for this recognition and be recommended by a faculty member in the College. This pathway is for students who were not initially admitted to the Honors College.

Laptop Policy

Students enrolled in the College of AI, Cyber and Computing are required to own a laptop that meets minimum program specifications. Students are expected to use their laptops for many of their classes. Students should refer to their department websites for minimum specifications. 

AI, Cyber and Computing (AICC) Courses

AICC 1003. Introduction to Artificial Intelligence. (3-0) 3 Credit Hours.

This course provides a broad introduction to the foundational concepts, tools, and applications of artificial intelligence for students across all disciplines. No prior programming or technical experience is required. Students will explore the key ideas around artificial intelligence, including machine learning, neural networks, and large language models, and examine how these technologies are shaping every field, from the sciences to the arts. The course traces AI from the hardware that powers it to the software and data that drive it, giving students a holistic understanding of how intelligent systems are built and deployed in the real world. Students will also apply these concepts to the ethical, societal, and policy questions AI raises, including bias and fairness, privacy, and security. Course Fee: DL01 $75; LRAI $46.20; STAS $21.60; IUCA $45.

AICC 1100. CAICC Signature Experience - Professional and Leadership Development. (0-0) 0 Credit Hours.

Prerequisite: Co-enrollment in a linked course or consent of the Department Chair. Participation in semester-long professional or leadership development program that enhances student's academic training, career and leadership readiness, and marketability. May be repeated.

AICC 1101. AI and Hardware. (1-0) 1 Credit Hour.

Prerequisite: MAT 1073. This course introduces students to the relationship between AI algorithms and modern computing hardware. Students will examine how hardware architectures, including CPUs, GPUs, TPUs, and specialized AI accelerators, influence the performance, efficiency, and scalability of AI systems. Topics include parallel computing, memory hierarchies, and data movement, as well as emerging paradigms such as edge AI and neuromorphic computing. Through modern case studies and practical exercises, students learn how to assess and optimize AI systems with respect to hardware constraints, energy efficiency, scalability, and system-level design considerations. Course Fee: LRAI $15.40; DL01 $25; STAS $7.20; IUCA $15.

AICC 1200. CAICC Signature Experience - Internship. (0-0) 0 Credit Hours.

Prerequisite: Co-enrollment in a linked course or consent of the Department Chair. The opportunity for semester-long work experience in a private business or public agency related to the student's field of study. May be repeated.

AICC 1300. CAICC Signature Experience - Research. (0-0) 0 Credit Hours.

Prerequisite: Co-enrollment in a linked course or consent of the Department Chair. Supervised research mentored by a faculty member engaged in active research within the student's major field. May be repeated.

AICC 1400. CAICC Signature Experience - Study Abroad. (0-0) 0 Credit Hours.

Prerequisite: Co-enrollment in a course or consent of the Department Chair. An international experiential opportunity that allows students to obtain valuable knowledge relevant to their field of study. May be repeated.

AICC 1500. CAICC Signature Experience - Community Outreach and Service-Learning. (0-0) 0 Credit Hours.

Prerequisite: Co-enrollment in a linked course or consent of the Department Chair. A community outreach or service-learning opportunity in which students actively engage in the local and greater university community to promote the AI, Cyber, and Computing fields to a broader population. May be repeated.

AICC 3003. Applied Large Language Models. (3-0) 3 Credit Hours.

Prerequisite: ISC 2063, ISC 2083, CS 2113, EE 3223, or CPE 3223, or their equivalents. This course introduces students to the practical design and application of large language models (LLMs) and multimodal AI systems. The focus is on learning how to effectively use, evaluate, and build with modern AI tools. Topics include prompt design for language and vision-language models, structured prompting for tasks such as classification, information extraction, summarization, and multimodal question answering, and the fundamentals of agent-based systems that plan, reason, and use tools. Through hands-on projects, students create real-world AI solutions while developing an understanding of model behavior, reliability, limitations, and responsible use. No prior machine learning experience is required. This course has Differential Tuition. Course Fee: DL01 $75; LRAI $46.20; STAS $21.60; IUCA $45.

AICC 3103. AI and Human Computer Interaction. (3-0) 3 Credit Hours.

This course investigates how intelligent software and hardware systems can be designed to facilitate and support human experiences. Students will learn the foundations of human-computer interaction, including usability, user experiences, user-centered design, and interaction design within the context of AI-driven systems. This course has Differential Tuition. Course Fee: DL01 $75; LRAI $46.20; STAS $21.60; IUCA $45.

AICC 3203. AI and Education. (3-0) 3 Credit Hours.

This course examines the role that AI plays in K-12 and higher education with respect to: 1) how AI has impacted teaching, learning, and policies across the disciplines, 2) how AI has affected curricula and career-readiness development of students, and 3) tools and teaching approaches to introduce AI concepts and integrate AI topics in existing curricula for students. This course has Differential Tuition. Course Fee: DL01 $75; LRAI $46.20; STAS $21.60; IUCA $45.

AICC 4100. CAICC Signature Experience - Professional and Leadership Development. (0-0) 0 Credit Hours.

Prerequisite: Co-enrollment in a linked course or consent of the Department Chair. Participation in semester-long professional or leadership development program that enhances student's academic training, career and leadership readiness, and marketability. May be repeated.

AICC 4200. CAICC Signature Experience - Internship. (0-0) 0 Credit Hours.

Prerequisite: Co-enrollment in a linked course or consent of the Department Chair. The opportunity for semester-long work experience in a private business or public agency related to the student's field of study. May be repeated.

AICC 4300. CAICC Signature Experience - Research. (0-0) 0 Credit Hours.

Prerequisite: Co-enrollment in a linked course or consent of the Department Chair. Supervised research mentored by a faculty member engaged in active research within the student's major field. May be repeated.

AICC 4400. CAICC Signature Experience - Study Abroad. (0-0) 0 Credit Hours.

Prerequisite: Co-enrollment in a course or consent of the Department Chair. An international experiential opportunity that allows students to obtain valuable knowledge relevant to their field of study. May be repeated.

AICC 4500. CAICC Signature Experience - Community Outreach. (0-0) 0 Credit Hours.

Prerequisite: Co-enrollment in a linked course or consent of the Department Chair. A community outreach or service-learning opportunity in which students actively engage in the local and greater university community to promote the AI, Cyber, and Computing fields to a broader population. May be repeated.

AICC 4803. Capstone. (3-0) 3 Credit Hours.

Prerequisite: Senior standing. This course serves as the culminating experience of the Bachelor of Science in Artificial Intelligence, bringing together the technical, mathematical, and ethical foundations students have developed throughout the program. Students will design, develop, and present a substantive AI-related project that addresses a real-world problem in their area of specialization. Projects are grounded in the principles of machine learning, deep learning, and intelligent systems, and reflect the tools and methodologies of the student's chosen track. Students will communicate their work through written reports and oral presentations, demonstrating both technical proficiency and an informed awareness of the ethical, societal, and policy implications of their solutions. This course should be taken in the final semester. This course has Differential Tuition. Course Fee: DL01 $75; LRAI $46.20; STAS $21.60; IUCA $45.

AICC 4811. Senior Projects for Hardware and Systems. (1-0) 1 Credit Hour.

Prerequisite: Senior standing. Students will self-organize into teams, prepare/propose project scope, gather requirements, produce specifications, analyze security and other risk factors, and present their designs. Cannot be repeated for credit. This course has Differential Tuition. Course Fee: LRAE $15.40; DL01 $25.00; STAS $7.20; IUCA $15.