Artificial Intelligence, A.A.A.S.

Print Degree Planner (opens a new window) |

Academic Plan Code: 168

This program prepares students for careers in the growing field of AI by combining foundational knowledge with hands-on learning. The program offers a robust curriculum that includes courses such as Introduction to Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, and AI for Cybersecurity. These courses provide students with essential skills in programming, data analysis, and AI technologies while emphasizing practical applications across various industries. The program also integrates Applied Ethics for AI to ensure students understand and address the societal and ethical implications of AI technologies.

General Education

Select a minimum of 15 credit hours of course work from the General Education Course list. Course work must be selected as directed from the areas below.

English Composition and Communications

EN 101 - English Composition I Credit Hours: 3
Select one (1) course from the list below.
EN 102 - English Composition II Credit Hours: 3
COM 131 - Fundamentals of Public Speaking Credit Hours: 3
COM 135 - Interpersonal Communication Credit Hours: 3

Humanities

Select one (1) Humanities General Education Elective.

Humanities General Education - Elective Credit Hours: varies by course

Social Sciences

Select one (1) Social Sciences General Education Elective.

Social Sciences General Education - Elective Credit Hours: varies by course

Natural Sciences and Mathematics

Select one (1) Natural Sciences Lab/Non Lab General Education Elective or one (1) Mathematics General Education Elective.

Nat Sci Lab/Non Lab General Education - Elective Credit Hours: varies by course
OR
Mathematics General Education - Elective Credit Hours: varies by course

General Education Total Credit Hours

15 (minimum)

Program Courses

CIS 110 - Introduction to Artificial Intelligence Credit Hours: 3
CIS 123 - Computer Science I Credit Hours: 4
CIS 202 - Applied Ethics for AI Credit Hours: 3
CIS 210 - Introduction to Machine Learning Credit Hours: 3
CIS 240 - Natural Language Processing Credit Hours: 3
CIS 268 - AI for Cybersecurity Credit Hours: 3
CIS 270 - Artificial Intelligence for Computer Vision Credit Hours: 3
CIS 288 - Artificial Intelligence Capstone Credit Hours: 3

Program Elective Courses

Select seven (7) Program Elective Courses from the list below.

CIS 111 - Cloud Computing Fundamentals Credit Hours: 3
CIS 112 - Cloud Foundations with AWS Credit Hours: 3
CIS 223 - Computer Science II Credit Hours: 4
CIS 230 - Programming for Data Science Credit Hours: 3
CIS 231 - Applied Data Science Credit Hours: 3
MA 115 - Math Essentials for Statistics Credit Hours: 4
MA 215 - Statistics Credit Hours: 4

Total Credits

64 (minimum)

In What Order Should Students Take Classes?

Please select courses from the Priority I list. Select courses based on the number of credits you are taking in the semester, for example, if you are a part time student you do not have to take all of the courses listed. If you are unable to schedule Priority I courses, move to and select from the list of Priority II, Priority III, and Priority IV courses.

Priority I	Priority II
EN 101 - English Composition I General Education Course CIS 110 - Introduction to Artificial Intelligence CIS 123 - Computer Science I Program Elective Course	EN 102 - English Composition II OR COM 131 - Fundamentals of Public Speaking OR COM 135 - Interpersonal Communication CIS 202 - Applied Ethics for AI CIS 210 - Introduction to Machine Learning Program Elective Course Program Elective Course
Priority III	Priority IV
General Education Course-Natural Science or Mathematics CIS 240 - Natural Language Processing CIS 268 - AI for Cybersecurity Program Elective Course Program Elective Course	General Education Elective Course CIS 270 - Artificial Intelligence for Computer Vision CIS 288 - Artificial Intelligence Capstone Program Elective Course Program Elective Course

NOTE: This priority schedule assumes the student is prepared to take the courses listed. If prerequisites are required, additional semesters may be required to complete this degree.

Meet with an Academic Program Advisor and consult my Academic Progress for specific degree requirements.