Program Admission Notes:
24 transferable credit hours
2.0 cumulative college GPA
Must be in good academic standing at most recently attended institution
|
Contact:
University Transfer Center
transfercenter@charlotte.edu
Revised:
May, 2024
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College Level Foreign Language Requirements:
The Data Science major does not require foreign language.
Major-Specific Course Recommendations:
Students are encouraged to build the Community College course recommendations below into the associate degree to best prepare for the intended major.
Recommended CC 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
|
Remaining Associate Degree Requirements:
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 CC 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
|
Remaining Bachelor’s Degree Requirements at University:
University Course |
Credit Hours |
University Course Notes |
DTSC 1301: Data and Society A
|
3 |
Fall Only |
DTSC 1302: Data and Society
|
3 |
Fall Only; corequiste with DTSC 1301 |
DTSC 2301: Modeling and Society
|
3 |
Spring Only |
DTSC 2302: Modeling and Society
|
3 |
Spring Only; corequiste with DTSC 2301 |
DTSC 3601: Predictive Analytics
|
3 |
Fall Only |
DTSC 3602: Predictive Analytics
|
3 |
Fall Only; corequiste with DTSC 3601 |
STAT 2223: Elements of Statistics II
|
3 |
|
STAT 3160: Applied Multivariate Analysis
|
3 |
|
MATH 2164: Matrices & Linear Algebra
|
3 |
|
ITSC 2175: Logic and Algorithms
|
3 |
|
ITCS 3160: Database Design & Implem
|
3 |
|
ITCS 3162: Introduction to Data Mining
|
3 |
|
DTSC 4301: Data Science for Social Good A
|
3 |
Spring Only |
DTSC 4302: Data Science for Social Good B
|
3 |
Spring Only; corequisite with DTSC 4301 |
Unrestricted Electives
|
18 |
|