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Nov 21, 2024
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Undergraduate Catalog | 2023-2024 Previous Edition
Data Science, B.S.
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 Return to: Undergraduate Academic Programs (A-Z)
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.
All program-level Admissions and Progression Requirements are in addition to the University of North Carolina at Charlotte Admission Requirements .
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Admission Requirements
Freshmen
Transfers
Currently Enrolled Students
Students transferring from within UNC Charlotte must have a cumulative GPA of 2.0.
General Education Courses (31-32 credit hours)
For details on required courses, refer to the General Education Program .
Out of 31-32 credit hours, 15 credit hours are double-counted for major courses. Successful completion of DTSC 1302 satisfies the General Education requirement for Inquiry in the Sciences - Social Sciences.
Major Courses (55 credit hours)
Data Science Core Courses (18 credit hours)
Each of the Data Science Studio courses is taught as a semester long 6-credit hour course; however, for registration purposes, each studio is broken into two separate classes that are taught in the A and B sessions of a semester.
Mathematics and Statistics Courses (15 credit hours)
Computing Core Courses (16 credit hours)
Capstone Courses (6 credit hours)
Unrestricted Elective Courses
As needed to complete the credit hours required for graduation.
Degree Total = 120 Credit Hours
Progression Requirements
The minimum GPA requirement for B.S. in Data Science is 2.0 in each of the following three categories: (1) all courses applied to the degree, (2) all courses in the major, and (3) all upper-division courses in the major.
Students have a limit of 2 attempts per course in the major (plus 1 more by petition). This applies to all core courses (Data Science, Computing and Informatics, and Mathematics and Statistics). The third attempt at a course can only be approved by petition. In addition, a Withdrawal does not count as an attempt, as that effort is already restricted via the Withdrawal limit.
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Return to: Undergraduate Academic Programs (A-Z)
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