Data Science, A.A.A.S.

Location(s): Main Campus

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Academic Plan Code: 184

This program prepares students for careers in the high-demand field of data science and data analytics by equipping them with both foundational and practical skills. Core courses such as Introduction to Data Science, Programming for Data Science, Statistics, and Applied Data Science provide students with essential knowledge in data manipulation, statistical analysis, and computational techniques. Through these courses, students develop the ability to extract insights from complex datasets and apply data-driven solutions across a variety of industries.

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 112 - Cloud Foundations with AWS Credit Hours: 3
CIS 123 - Computer Science I Credit Hours: 4
CIS 156 - Microsoft Excel Credit Hours: 3
CIS 171 - Database Design and Development Credit Hours: 3
CIS 230 - Programming for Data Science Credit Hours: 3
CIS 231 - Applied Data Science Credit Hours: 3
MTH 215 - Statistics Credit Hours: 4
MTH 235 - Introduction to Data Science Credit Hours: 4

Program Elective Courses

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

CIS 110 - Introduction to Artificial Intelligence Credit Hours: 3
CIS 111 - Cloud Computing Fundamentals Credit Hours: 3
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

Total Credits

63 (mimimum)

In What Order Should I 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

Priority III

Priority IV

General Education Elective Course
CIS 231 - Applied Data Science
Program Elective Course
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.