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Program checklist · Bachelor’s Degree

Data Science (BS)

Southern Utah University · Cedar City, UT

A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.

Program
Award
Bachelor’s Degree
Credential class
ceterms:BachelorDegree
CIP
30.7001
Total credits (published)
120
Catalog edition
2026-2027 General Catalog [Current]
Checklist type
degree-program
Description
Location(s): Main Campus Close Student Success Advisor(s) Sample Degree Plan Program Learning Outcomes CIP Code: 30.7001 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.
Identifiers
IPEDS UNITID
230603
CourseShelf checklist
CK_230603_a9a61004
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

Every course or condition the catalog lists, in the catalog's order.

Bachelor of Science (BS) Degree Requirement (12 Credits*)

1 item
  1. Bachelor of Science Degree - Math or Science minimum requirement 12 Credits
    Not resolved to a course

General Education Requirement (28+ Credits)

2 items
  1. Core Course Requirements (12+ Credits)
    Not resolved to a course
  2. Breadth Area Requirements (16+ Credits)
    Not resolved to a course

Data Science Curriculum (75-77 Credits)

0 items

    Data Science Core (51 Credits)

    15 items
    1. ANLY 2500
      Introduction to Business Analytics
      As published: “Introduction to Business Analytics 3 Credit(s)”
      3
    2. ANLY 4100
      Data Analytics I
      As published: “Data Analytics I 3 Credit(s)”
      3
    3. ANLY 4110
      Data Analytics II 3 Credit(s)
      Not resolved to a course
    4. CS 1400
      Fundamentals of Programming
      As published: “Fundamentals of Programming 3 Credit(s)”
      3
    5. CS 1410
      Object Oriented Programming
      As published: “Object Oriented Programming 3 Credit(s)”
      3
    6. CS 2420
      Introduction to Algorithms and Data Structures
      As published: “Introduction to Algorithms and Data Structures 3 Credit(s)”
      3
    7. CS 4200
      Big Data Analytics
      As published: “Big Data Analytics 3 Credit(s)”
      3
    8. CSCY 2400
      Technology and Ethics
      As published: “Technology and Ethics 3 Credit(s) [GE Social/Behavioral Sciences]”
      3
    9. MATH 1210
      Calculus I
      As published: “Calculus I 4 Credit(s) [GE Quantitative Literacy]”
      4
    10. MATH 1220
      Calculus II
      As published: “Calculus II 4 Credit(s)”
      4
    11. MATH 2170
      Applied Linear Algebra
      As published: “Applied Linear Algebra 3 Credit(s)”
      3
    12. MATH 3150
      Applied Linear Models
      As published: “Applied Linear Models 3 Credit(s)”
      3
    13. MATH 3190
      Statistical Learning for Data Science
      As published: “Statistical Learning for Data Science 3 Credit(s)”
      3
    14. MATH 3700
      Probability and Statistics
      As published: “Probability and Statistics 4 Credit(s)”
      4
    15. MATH 4810
      Data Science Capstone Project
      As published: “Data Science Capstone Project 3 Credit(s)”
      3

    Support Courses (12-14 Credits)

    0 items

      Foundational Statistics Course

      2 items
      1. MATH 1040
        Statistical Inference
        As published: “Statistical Inference 4 Credit(s) [GE Quantitative Literacy]”
        4
      2. MATH 1190
        Introduction to Data Science
        As published: “Introduction to Data Science 3 Credit(s) [GE Quantitative Literacy]”
        3

      Additional Mathematics Course

      3 items
      1. CS 2300
        Discrete Structures
        As published: “Discrete Structures 3 Credit(s)”
        3
      2. MATH 2210
        Calculus III
        As published: “Calculus III 4 Credit(s)”
        4
      3. MATH 3770
        Mathematical Modeling
        As published: “Mathematical Modeling 3 Credit(s)”
        3

      Data Management Course

      2 items
      1. ANLY 3250
        Data Management and Organization
        As published: “Data Management and Organization 3 Credit(s)”
        3
      2. CSCY 3200
        Database Design and Management
        As published: “Database Design and Management 3 Credit(s)”
        3

      Machine Learning Course

      2 items
      1. CS 4150
        Machine Learning
        As published: “Machine Learning 3 Credit(s)”
        3
      2. ME 3600
        Introduction to AI and Machine Learning for Engineers
        As published: “Introduction to AI and Machine Learning for Engineers 3 Credit(s)”
        3

      Data Domain (12 Credits)

      16 items
      1. ACCT (Accounting)
        Not resolved to a course
      2. BIOL (Biology)
        Not resolved to a course
      3. CE (Civil Engineering)
        Not resolved to a course
      4. CS (Computer Science)
        Not resolved to a course
      5. CHEM (Chemistry)
        Not resolved to a course
      6. ECON (Economics)
        Not resolved to a course
      7. EE (Electrical Engineering)
        Not resolved to a course
      8. ENGR (Engineering)
        Not resolved to a course
      9. FIN (Finance)
        Not resolved to a course
      10. GEO (Geology)
        Not resolved to a course
      11. MATH (Mathematics)
        Not resolved to a course
      12. ME (Mechanical Engineering)
        Not resolved to a course
      13. MKTG (Marketing)
        Not resolved to a course
      14. PHYS (Physics)
        Not resolved to a course
      15. PSY (Psychology)
        Not resolved to a course
      16. Classes from prefixes/areas not listed may be accepted with departmental approval
        Not resolved to a course

      Free Electives and University Requirements

      4 items
      1. A minimum of 120 total credits;
        Not resolved to a course
      2. A minimum cumulative GPA of 2.0 in both SUU coursework and combined transfer/SUU coursework;
        Not resolved to a course
      3. 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
        Not resolved to a course
      4. 30 credits completed through SUU.
        Not resolved to a course

      Recommended Electives

      2 items
      1. CS 2450
        Software Engineering
        As published: “Software Engineering 3 Credit(s)”
        3
      2. CSCY 2000
        Web Development
        As published: “Web Development 3 Credit(s)”
        3
      Source. Southern Utah University, catalog 2026-2027 General Catalog [Current] — https://catalog.suu.edu/preview_program.php?catoid=28&poid=11088. Captured page pages/0210.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.