A25590AI – Information Technology – Artificial Intelligence Pathway
| Degree Designation |
Articulation Agreement |
| Associate in Applied Science |
None |
| Minimum Required Credit Hours |
Fully online option available? |
| 66 |
No |
Description
The Artificial Intelligence (AI) curriculum is designed to provide students with the knowledge and skills necessary for employment and growth in the AI profession. Course work includes various subject areas related to AI fundamentals, machine learning, deep learning theory, and hands-on training in multiple AI domains for the purpose of creating and implementing artificial intelligence across a broad range of applications. Graduates may qualify for entry-level AI positions such as AI engineer, AI project manager, AI researcher, AI consultant, AI architect, conversational AI specialist, AI automation engineer, AI software engineer, and machine learning specialist.
The Information Technology (IT) curriculum prepares graduates for employment in the technology sector and with organizations that use information technology systems to process information and automate business processes.
Coursework is designed to develop a student’s ability to create, store, communicate, exchange, and use the information to solve technical issues related to information security, interactive media, network systems, software development, and information technology support and services.
Graduates should qualify for employment in entry-level positions with businesses, educational systems, and governmental agencies that rely on computer systems to design and manage information. The program will incorporate the competencies of industry-recognized certification exams.
This curriculum complies with the standard approved by the State Board of Community Colleges.
Course Rotation: CSC 113 -Artificial Intelligence Fundamentals will be offered during even-numbered spring semesters (e.g., Spring 2026). CSC 114 - Artificial Intelligence I will be offered during even-numbered fall semesters (e.g., Fall 2026). CSC 115 - Machine Learning I will be offered during odd-numbered spring semesters (e.g., Spring 2027).
Within this program specific courses will prepare students for the following industry credentials: CTI 120 - Comp TIA Network+ CTS 120 and CTS 220 - Comp TIA A+ CTS-125 - MOS PowerPoint Certification CTS-130 - MOS Excel Associate Certification DBA-110 - MOS Access Expert Certification NET Courses - Cisco Certified Network Associate SEC-110/150 - Security+
Ask your advisor for more details.
Program Learning Outcomes
Upon completion of this program, students will:
- Resolve technical problems using information technologies and information systems.
- Create technology system solutions based on industry standards and customer requirements.
- Communicate with clarity and precision using appropriate information technology terminology and concepts
- Develop personal and professional skills to anticipate and meet workforce expectations
Program Requirements
Other Major Hours - Electives
Electives
Complete at least 2 of the following courses:
Technical Core
Technical Core Courses
Complete all of the following Courses:
| CIS-110 | Introduction to Computers | 3 |
| CTI-110 | Information Technology Foundations | 3 |
| CTI-120 | Network and Security Foundations | 3 |
| CTS-115 | Information Systems Business Concepts | 3 |
Other Major Hours - Required
Other Major Hours - Required
Complete all of the following Courses:
General Education
Communications
Complete at least 2 of the following courses:
| ENG-111 | Writing and Inquiry | 3 |
| ENG-112 | Writing and Research in the Disciplines | 3 |
| ENG-114 | Professional Research & Reporting | 3 |
Humanities
Complete at least 1 of the following courses:
Humanities (AAS)
Social/Behavioral Science
Complete at least 1 of the following courses:
Social/Behavioral Science Electives (AAS)
Mathematics
Enroll in the following:
Other Required Courses
Other Required Courses
Enroll in the following:
Concentration Requirements
Concentration Pathway Hours
Concentration Pathway Hours
Complete all of the following Courses:
Recommended Course Sequence
View the recommended course sequence for a suggested program schedule