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Program checklist · BS

Data Science, BS

Utah Tech University · Saint George, 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
BS
Credential class
ceterms:BachelorDegree
CIP
27.0304
Credits (computed from items)
207-225
Catalog edition
2026-2027
Checklist type
degree-program
Identifiers
IPEDS UNITID
230171
CourseShelf checklist
CK_230171_3fc948e1
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

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

Utah Tech General Education Requirements

general education · 8 items
  1. English
    Not resolved to a course
    3-7
  2. Mathematics
    Not resolved to a course
    3-5
  3. American Institutions
    Not resolved to a course
    3-6
  4. Life Sciences
    Not resolved to a course
    3-10
  5. Physical Sciences
    Not resolved to a course
    3-5
  6. Fine Arts
    Not resolved to a course
    3
  7. Literature/Humanities
    Not resolved to a course
    3
  8. Social & Behavioral Sciences
    Not resolved to a course
    3

Computing Core Requirements

major core · 8 items
  1. CS 1400
    Fundamentals of Programming
    As published: “Fundamentals of Programming 1”
    3
  2. CS 1410
    Object Oriented Programming
    As published: “Object Oriented Programming 1”
    3
  3. CS 2100
    Discrete Structures
    As published: “Discrete Structures 1”
    3
  4. CS 2420
    Introduction to Algorithms and Data Structures
    As published: “Introduction to Algorithms and Data Structures 1”
    3
  5. CS 2810
    3
  6. CS 3510
    Algorithms
    As published: “Algorithms 1”
    3
  7. IT 1500
    Cloud Fundamentals
    As published: “Cloud Fundamentals 1”
    1
  8. SET 1000
    0

Data Science Core Requirements

major core · 6 items
  1. CS 2500
    3
  2. CS 4400
    3
  3. CS 4410
    3
  4. CS 4420
    3
  5. CS 4480R
    Data Science Practicum
    As published: “Data Science Practicum (To be taken twice (1 credit each) to fulfill Data Science Core requirement.)”
    2
  6. CS 4490R
    Data Science Capstone
    As published: “Data Science Capstone (To be taken twice (3 credits each) to fulfill Data Science Core requirement.)”
    6

Math Core Requirements

major core · 4 items
  1. MATH 1210
    Calculus I (MA)
    As published: “Calculus I (MA) 1”
    4
  2. MATH 1220
    Calculus II (MA)
    As published: “Calculus II (MA) 1”
    4
  3. MATH 2270
    Linear Algebra
    As published: “Linear Algebra 1”
    3
  4. MATH 3400
    3

Data Science Tracks: Complete two tracks from the following options:1

0 items

    AI/ML Track

    0 items

      Complete all courses from the following list:

      3 items
      1. CS 3005
        Programming in C++
        As published: “Programming in C++ 1”
        3
      2. CS 4300
        Artificial Intelligence
        As published: “Artificial Intelligence 1”
        3
      3. CS 4320
        Machine Learning
        As published: “Machine Learning 1”
        3

      Data Engineering Track

      0 items

        Complete all courses from the following list:

        3 items
        1. CS 3150
          Computer Networks
          As published: “Computer Networks 1”
          3
        2. CS 3410
          Distributed Systems
          As published: “Distributed Systems 1”
          3
        3. CS 4307
          Database Systems
          As published: “Database Systems 1”
          3

        Software Engineering Track

        0 items

          Complete all courses from the following list:

          3 items
          1. CS 2450
            Software Engineering
            As published: “Software Engineering 1”
            3
          2. SE 3100
            Software Practices
            As published: “Software Practices 1”
            3
          3. SE 3150
            Software Quality
            As published: “Software Quality 1”
            3

          Data Science Electives:1

          electives · 31 items
          1. Complete 12 credits from the following:
            Not resolved to a course
            12
          2. ACCT 2010
            3
          3. BIOL 3300
            3
          4. CHEM 3000
            3
          5. CHEM 3005
            Quantitative Chemical Analysis Laboratory
            As published: “Quantitative Chemical Analysis Laboratory 1”
            1
          6. CS 2450
            Software Engineering
            As published: “Software Engineering 1”
            3
          7. CS 3005
            Programming in C++
            As published: “Programming in C++ 1”
            3
          8. CS 3150
            Computer Networks
            As published: “Computer Networks 1”
            3
          9. CS 3400
            Operating Systems
            As published: “Operating Systems 1”
            3
          10. CS 3410
            Distributed Systems
            As published: “Distributed Systems 1”
            3
          11. CS 4300
            Artificial Intelligence
            As published: “Artificial Intelligence 1”
            3
          12. CS 4307
            Database Systems
            As published: “Database Systems 1”
            3
          13. CS 4320
            Machine Learning
            As published: “Machine Learning 1”
            3
          14. CS 4480R
            Data Science Practicum
            As published: “Data Science Practicum (Up to 4 credits can be applied to elective once 2 credits of core is met)”
            4
          15. ECON 2010
            3
          16. ECON 3010
            3
          17. HLTH 4010
            3
          18. MATH 2210
            Multivariable Calculus (MA)
            As published: “Multivariable Calculus (MA) 1”
            4
          19. MATH 2280
            Ordinary Differential Equations
            As published: “Ordinary Differential Equations 1”
            3
          20. MATH 3050
            Stochastic Modeling and Applications
            As published: “Stochastic Modeling and Applications 1”
            3
          21. MATH 3450
            3
          22. MATH 3500
            3
          23. MATH 3700
            3
          24. MATH 4800
            3
          25. PSY 3000
            4
          26. RSM 3210
            Sports Information Strategies
            As published: “Sports Information Strategies 1”
            3
          27. RSM 4100
            Financial Management in Recreation and Sport
            As published: “Financial Management in Recreation and Sport 1”
            3
          28. SE 3010
            Mobile Application Development
            As published: “Mobile Application Development 1”
            3
          29. SE 3100
            Software Practices
            As published: “Software Practices 1”
            3
          30. SE 3150
            Software Quality
            As published: “Software Quality 1”
            3
          31. SOC 3112
            3
          Source. Utah Tech University, catalog 2026-2027 — https://catalog.utahtech.edu/programs/computing/data-science-bs/index.html. Captured page pages/0305.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.