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Program checklist · B.S. in Mathematics (Data Science)

B.S. in Mathematics (Data Science)

Randolph Community College · Asheboro, NC

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
B.S. in Mathematics (Data Science)
Credential class
ceterms:BachelorDegree
CIP
30.4901
Catalog edition
2025-2026 Undergraduate Catalog
Checklist type
degree-program
Identifiers
IPEDS UNITID
199421
CourseShelf checklist
CK_199421_4dcf6d88
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

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

Requirements

31 items
  1. MATH 131
    Calculus I
    As published: “MATH 131 - Calculus I (s) (MLAR)”
    4
  2. MATH 105
    Orientation for Freshmen and New Mathematics Majors
    As published: “MATH 105 - Orientation for Freshmen and New Mathematics Majors (s)”
    1
  3. ENGL 100
    Ideas and Their Expression I
    As published: “ENGL 100 - Ideas and Their Expression I (s) (WC)”
    3
  4. FRST 101
    College Success
    As published: “FRST 101 - College Success (s) (SS)”
    1
  5. MATH 132
    Calculus II
    As published: “MATH 132 - Calculus II (s) (MLAR)”
    4
  6. MATH 140
    Fundamentals of Scientific Programming in Python
    As published: “MATH 140 - Fundamentals of Scientific Programming in Python (s) 3”
    3
  7. ENGL 101
    Ideas and Their Expression II
    As published: “ENGL 101 - Ideas and Their Expression II (s) (WC)”
    3
  8. MATH 106
    Introduction to Mathematical Reasoning and Problem Solving
    As published: “MATH 106 - Introduction to Mathematical Reasoning and Problem Solving (s)”
    1
  9. MATH 123
    Discrete Mathematics I
    As published: “MATH 123 - Discrete Mathematics I (s)”
    3
  10. DASC 240
    Data Science I
    As published: “DASC 240 - Data Science I (s)”
    3
  11. MATH 224
    Introduction to Probability and Statistics
    As published: “MATH 224 - Introduction to Probability and Statistics (s)”
    3
  12. PHYS 241
    General Physics I
    As published: “PHYS 241 - General Physics I (s) (SR)”
    3
  13. PHYS 251
    General Physics I Lab
    As published: “PHYS 251 - General Physics I Lab (s) (SR)”
    1
  14. MATH 215
    Introduction to Mathematical Literature and Research Tools
    As published: “MATH 215 - Introduction to Mathematical Literature and Research Tools (s)”
    1
  15. MATH 351
    MATH 351 - Linear Algebra and Matrix Theory (formerly MATH 450) (s)
    Not resolved to a course
    3
  16. STAT 324
    Statistical Methods for Data Analysis
    As published: “STAT 324 - Statistical Methods for Data Analysis (s)”
    3
  17. SPCH 250
    Speech Fundamentals
    As published: “SPCH 250 - Speech Fundamentals (s) (HFA)”
    3
  18. MATH 223
    Discrete Mathematics II
    As published: “MATH 223 - Discrete Mathematics II (s)”
    3
  19. CST 225
    Computer Database Management I
    As published: “CST 225 - Computer Database Management I (s)”
    3
  20. CST 235
    Computer Database Management Laboratory
    As published: “CST 235 - Computer Database Management Laboratory (s)”
    1
  21. DASC 340
    Data Science II
    As published: “DASC 340 - Data Science II (s)”
    3
  22. STAT 327
    Regression Analysis
    As published: “STAT 327 - Regression Analysis (s)”
    3
  23. STAT 333
    STAT 333 - Probability Theory with Applications (formerly STAT 423) (s)
    Not resolved to a course
    3
  24. STAT 334
    STAT 334 - Statistical Inference (formerly STAT 424) (s)
    Not resolved to a course
    3
  25. DASC 328
    Statistical Machine Learning I
    As published: “DASC 328 - Statistical Machine Learning I (s)”
    3
  26. COMP 361
    Data Analytics in Python
    As published: “COMP 361 - Data Analytics in Python (s)”
    3
  27. MATH 485
    Special Topics in Mathematics
    As published: “MATH 485 - Special Topics in Mathematics (s)”
    3
  28. DASC 428
    Statistical Machine Learning II
    As published: “DASC 428 - Statistical Machine Learning II (s)”
    3
  29. STAT 425
    Computational Statistics
    As published: “STAT 425 - Computational Statistics (s)”
    3
  30. MATH 496
    Capstone Experience in Mathematics
    As published: “MATH 496 - Capstone Experience in Mathematics (s)”
    3
  31. DASC 405
    Data Privacy and Ethics
    As published: “DASC 405 - Data Privacy and Ethics (s)”
    3

Major Program Requirements

22 items
  1. MATH 105
    Orientation for Freshmen and New Mathematics Majors
    As published: “MATH 105 - Orientation for Freshmen and New Mathematics Majors (s)”
    1
  2. MATH 106
    Introduction to Mathematical Reasoning and Problem Solving
    As published: “MATH 106 - Introduction to Mathematical Reasoning and Problem Solving (s)”
    1
  3. MATH 123
    Discrete Mathematics I
    As published: “MATH 123 - Discrete Mathematics I (s)”
    3
  4. MATH 131
    Calculus I
    As published: “MATH 131 - Calculus I (s)”
    4
  5. MATH 132
    Calculus II
    As published: “MATH 132 - Calculus II (s)”
    4
  6. MATH 140
    Fundamentals of Scientific Programming in Python
    As published: “MATH 140 - Fundamentals of Scientific Programming in Python (s)”
    3
  7. MATH 215
    Introduction to Mathematical Literature and Research Tools
    As published: “MATH 215 - Introduction to Mathematical Literature and Research Tools (s)”
    1
  8. MATH 224
    Introduction to Probability and Statistics
    As published: “MATH 224 - Introduction to Probability and Statistics (s)”
    3
  9. MATH 351
    MATH 351 - Linear Algebra and Matrix Theory (formerly MATH 450) (s)
    Not resolved to a course
    3
  10. MATH 496
    Capstone Experience in Mathematics
    As published: “MATH 496 - Capstone Experience in Mathematics (s)”
    3
  11. STAT 324
    Statistical Methods for Data Analysis
    As published: “STAT 324 - Statistical Methods for Data Analysis (s)”
    3
  12. STAT 327
    Regression Analysis
    As published: “STAT 327 - Regression Analysis (s)”
    3
  13. STAT 333
    STAT 333 - Probability Theory with Applications (formerly STAT 423) (s)
    Not resolved to a course
    3
  14. STAT 334
    STAT 334 - Statistical Inference (formerly STAT 424) (s)
    Not resolved to a course
    3
  15. STAT 425
    Computational Statistics
    As published: “STAT 425 - Computational Statistics (s)”
    3
  16. DASC 240
    Data Science I
    As published: “DASC 240 - Data Science I (s)”
    3
  17. DASC 328
    Statistical Machine Learning I
    As published: “DASC 328 - Statistical Machine Learning I (s)”
    3
  18. DASC 340
    Data Science II
    As published: “DASC 340 - Data Science II (s)”
    3
  19. DASC 405
    Data Privacy and Ethics
    As published: “DASC 405 - Data Privacy and Ethics (s)”
    3
  20. DASC 428
    Statistical Machine Learning II
    As published: “DASC 428 - Statistical Machine Learning II (s)”
    3
  21. MATH 223
    Discrete Mathematics II
    As published: “MATH 223 - Discrete Mathematics II (s)”
    3
  22. MATH 485
    Special Topics in Mathematics
    As published: “MATH 485 - Special Topics in Mathematics (s)”
    3
Source. Randolph Community College, catalog 2025-2026 Undergraduate Catalog — https://catalog.ncat.edu/preview_program.php?catoid=19&poid=3128. Captured page pages/0216.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.