The Data Science major does not require foreign language.
Students are encouraged to build the North Carolina Community College (NCCC) course recommendations below into the associate degree to best prepare for the intended university and major.
| Recommended NCCC Course |
Credit
Hours |
University Equivalent
|
Associate Degree
Requirement Fulfilled |
University Requirement Fulfilled |
|
MAT 263: Brief Calculus
|
4
|
MATH 1120: Calculus
&
MATH 2ELE: Math Elective
|
Additional General Education Courses
|
Suggested Course, General Education
|
|
MAT 152: Statistical Methods I
|
4
|
STAT 1220: Elements of Stat I (BUSN)
&
STAT 1ELE: Statistics Elective
|
Additional General Education Courses
|
Suggested Course
|
|
CSC 151: JAVA Programming
|
3
|
ITSC 1212: Intro to Computer Science I
|
Elective/Pre-Major Courses
|
Suggested Course
|
|
CSC 251: Advanced JAVA Programming
|
3
|
ITSC 1213: Intro to Computer Science II
|
Elective/Pre-Major Courses
|
Suggested Course
|
|
CSC 249: Data Structure & Algorithms
|
3
|
ITSC 2214: Data Structures and Algorithms
|
Elective/Pre-Major Courses
|
Suggested Course
|
In addition to major-specific course recommendations above, students should work with a community college advisor to select additional community college courses to fulfill the remaining associate degree requirements identified below.
| Recommended NCCC Course |
Credit
Hours |
University Equivalent
|
Associate Degree
Requirement Fulfilled |
University Requirement Fulfilled |
|
ENG 111: Writing and Inquiry
|
3
|
WRDS 1103: Wrtng & Inqry Acdmc Ctx I & II
|
English Composition
|
General Education
|
|
ENG 112: Writing/Research in the Disc
|
3
|
CTCM 2530: Critical Thinking
|
English Composition
|
General Education
|
|
Student Choice/No Preference
(Approved Course Options)
|
9
|
University Equivalencies
|
UGETC Humanities/Fine Arts
|
General Education
|
|
Student Choice/No Preference
(Approved Course Options)
|
9
|
University Equivalencies
|
UGETC Social/Behavioral Sciences
|
General Education
|
|
MAT 171: Precalculus Algebra
|
4
|
MATH 1101: College Algebra & Workshop
|
UGETC Math
|
General Education
|
|
Student Choice/No Preference
(Approved Course Options)
|
4
|
University Equivalencies
|
UGETC Natural Sciences
|
General Education
|
|
ACA 122: College Transfer Success
|
1
|
TRNF 1ELE: Transfer Elective
|
Academic Transition
|
Elective
|
|
Student Choice/No Preference
(Approved Course Options)
|
6
|
University Equivalencies
|
Additional General Education Courses
|
Elective
|
|
Student Choice/No Preference
(Approved Course Options)
|
5
|
University Equivalencies
|
Elective/Pre-Major Courses
|
Elective
|
The B.S. in Data Science is recommended for students interested in developing competencies that will prepare them for careers in “big data” analytics. Graduates with bachelor’s degrees in Data Science will be equipped to operate the systems on which analyses are run, prepare data for analysis, and visualize information.
Students in the program progressively develop mathematical skills, computational and statistical thinking, and data modeling needed to manipulate and interrogate data, define and solve problems. A major focus of the degree is developing communications skills, teamwork, and ethical awareness so that students can apply data science techniques in the context of particular domain applications. These competencies prepare graduates for careers in a broad range of fields where the ability to understand and use data, so called “data acumen,” is critical. Students in the B.S. in Data Science program are encouraged to complete a minor or certificate that enhances their data science skills and/or domain expertise.