Program Requirement
Program details
Catalog Year: 2026 - 2027
College/School:
The College of Liberal Arts and Sciences
Plan Code: LADATSCMIN
Curriculum Checksheet
| Requirement | Minimum Grade | Credit Hours |
|---|
| Requirement | Minimum Grade | Credit Hours |
|---|---|---|
|
The minor in data science requires 25 credit hours, of which 16 credit hours must be upper division. A minimum of six upper-division credit hours must be taken from The College of Liberal Arts and Sciences. When selecting courses, the college offering the course can be identified by viewing the course details in Class Search. Only courses completed with a grade of "C" (2.00 on a scale of 4.00) or better can be used to satisfy minor requirements. |
||
|
DAT 250 Data Science and Society
3 Credit Hours
Minimum
Grade:C
|
C | 3 |
|
DAT 300 Mathematical Tools for Data Science
3 Credit Hours
Minimum
Grade:C
|
C | 3 |
|
DAT 301 Exploring Data in R and Python
4 Credit Hours
Minimum
Grade:C
|
C | 4 |
|
DAT 401 Statistical Modeling and Inference for Data Science
3 Credit Hours
Minimum
Grade:C
|
C | 3 |
|
DAT 402 Machine Learning for Data Science
3 Credit Hours
Minimum
Grade:C
|
C | 3 |
|
MAT 265 Calculus for Engineers I
(MATH)
or
MAT 270 Calculus with Analytic Geometry I
(MATH)
3 - 4 Credit Hours
Minimum
Grade:C
|
C | 3 - 4 |
|
MAT 266 Calculus for Engineers II
(MATH)
or
MAT 271 Calculus with Analytic Geometry II
(MATH)
3 - 4 Credit Hours
Minimum
Grade:C
|
C | 3 - 4 |
|
MAT 343 Applied Linear Algebra
or
MAT 342 Linear Algebra
3 Credit Hours
Minimum
Grade:C
|
C | 3 |
Notes
|
Prerequisite courses may be needed in order to complete the requirements of this minor.
|
