|
|
2025-2026 General Catalog [Effective Fall 2025]
Data Science (BS)
|
|
Program Information
- All courses must be passed with a “C” (2.0) or better to be counted in the major.
- Students seeking the Data Science major are strongly encouraged to pursue a minor in one of the Data Science domains.
- This program requires the completion of multiple math courses. Students who are not prepared for these math courses may need additional math credits/preparation, which may affect time to graduation. Please consult your Student Success Advisor for more information.
|
Bachelor of Science (BS) Degree Requirement (12 Credits*)
- Bachelor of Science Degree - Math or Science minimum requirement 12 Credits
* Note: A portion of the BS requirements may be met by fulfilling the General Education Core and Breadth Areas. Consult your Student Success Advisor for details. General Education Requirement (28+ Credits)
See General Education for course options. - Core Course Requirements (12+ Credits)
- Breadth Area Requirements (16+ Credits)
Data Science Curriculum (75-77 Credits)
Data Science Core (51 Credits)
Support Courses (12-14 Credits)
Foundational Statistics Course
Complete one of the following: Additional Mathematics Course
Complete one of the following: Data Management Course
Complete one of the following: Machine Learning Course
Complete one of the following: Data Domain (12 Credits)
Complete at least 12 credits from one of the following areas. All credits must come from the same course prefix and at least 6 credits must be upper division (numbered 3000-4999): - ACCT (Accounting)
- BIOL (Biology)
- CE (Civil Engineering)
- CS (Computer Science)
- CHEM (Chemistry)
- ECON (Economics)
- EE (Electrical Engineering)
- ENGR (Engineering)
- FIN (Finance)
- GEO (Geology)
- MATH (Mathematics)
- ME (Mechanical Engineering)
- MKTG (Marketing)
- PHYS (Physics)
- PSY (Psychology)
- Classes from prefixes/areas not listed may be accepted with departmental approval
Free Electives and University Requirements
Students’ total free elective credit is determined by their General Education courses taken, degree type selected (if applicable), additional credits earned, and any additional math or other prerequisite courses needed. Some students and/or programs may not have any free electives. For a bachelor’s degree, students must earn - A minimum of 120 total credits;
- A minimum cumulative GPA of 2.0 in both SUU coursework and combined transfer/SUU coursework;
- 40 upper-division credits , 20 of which are earned from SUU (students may need to select additional upper-division courses not included in their major requirements in order to reach this minimum 40); and
- 30 credits completed through SUU.
Total Credits, BS Degree: 120
Recommended Electives
Although not required, the Department of Mathematics recommends that Data Science majors complete the following electives: Program Learning Outcomes
Per the ABET CAC outcomes for programs named Data Science, graduates of the program will have an ability to: - Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
- Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
- Communicate effectively in a variety of professional contexts.
- Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
- Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
- Apply theory, techniques, and tools throughout the data science lifecycle and employ the resulting knowledge to satisfy stakeholders’ needs.
|
|
|
