three male students in front of computers

The Artificial Intelligence degree prepares students to design, implement, and evaluate AI solutions across diverse applications. This degree combines a foundation in computer science, data analytics, statistics, ethical consideration, security, and hands-on experience to develop robust AI systems. The curriculum covers core areas such as Machine Learning (ML), Deep Learning (DL), and Computer Vision (CV), providing hands-on experience with advanced algorithms.

For more information about Computer and Information Science, please visit the program page.

Degree Requirements

Field of Study Code: CIS.AAS.AI

CIS 1230Database Application3
MATH 1220Quantitative Literacy3
CIS 1400Programming Logic and Technique4
CIS 1655AI Technical Essentials3
CIS 2531Introduction to Python Programming4
CIS 2640Introduction to Machine Learning (ML)4
CIS 2641Introduction to Natural Language Processing (NLP)4
or CIS 2642 Introduction to Computer Vision (CV)
CIS 2644Ethics in Artificial Intelligence (AI)4
CIS 2645Security in AI4
CIS 2646Deep Learning (DL)4
CIS 2720Structured Query Language (SQL)4
CIS 2735Data Analytics and Visualization4
General Education
Communications6
Humanities & Fine Arts3
Social & Behavioral Science3
Physical or Life Science (with lab)3-5
Total Credits60-62

Suggested Semester Sequence

Plan of Study Grid
First SemesterCredits
CIS 1230 Database Application 3
CIS 1400 Programming Logic and Technique 4
CIS 1655 AI Technical Essentials 3
MATH 1220 Quantitative Literacy 3
Gen EdHumanities and Fine Arts 3
 Credits16
Second Semester
CIS 2531 Introduction to Python Programming 4
CIS 2735 Data Analytics and Visualization 4
CIS 2640 Introduction to Machine Learning (ML) 4
Gen EdSocial and Behavioral Sciences 3
 Credits15
Third Semester
CIS 2644 Ethics in Artificial Intelligence (AI) 4
CIS 2645 Security in AI 4
CIS 2646 Deep Learning (DL) 4
ENGLI 1101
English Composition I
or Workplace Writing
3
 Credits15
Fourth Semester
CIS 2720 Structured Query Language (SQL) 4
CIS 2641
Introduction to Natural Language Processing (NLP)
or Introduction to Computer Vision (CV)
4
Select one of the following: 3
Fundamentals of Speech Communication  
Small-Group Communication  
Introduction to Business Communication  
Gen EdPhysical and Life Sciences 3-5
 Credits14-16
 Total Credits60-62