UNC Charlotte

Transfer Guide

UNC Charlotte
Data Science, BS

Transfer Guide for Associate in Arts

2024-2025

Delivery Method: On-Campus

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

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

Additional Information From UNC Charlotte:

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.

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