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Program checklist · MS

ABM Accelerated Bachelors to Masters: Mathematics (Statistics and Data Science) BS and Applied Mathematics (Statistics and Data Science) MS

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
MS
Credential class
ceterms:MasterDegree
CIP
27.0503
Catalog edition
2025-2026 Undergraduate Catalog
Checklist type
degree-program
Identifiers
IPEDS UNITID
199421
CourseShelf checklist
CK_199421_2b07aa9a
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

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

Student Eligibility Requirements

33 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 123
    Discrete Mathematics I
    As published: “MATH 123 - Discrete Mathematics I (s)”
    3
  9. MATH 106
    Introduction to Mathematical Reasoning and Problem Solving
    As published: “MATH 106 - Introduction to Mathematical Reasoning and Problem Solving (s)”
    1
  10. MATH 231
    Calculus III
    As published: “MATH 231 - Calculus III (s)”
    4
  11. STAT 240
    Data Exploration and Visualization
    As published: “STAT 240 - Data Exploration and Visualization Credit(s)”
  12. MATH 224
    Introduction to Probability and Statistics
    As published: “MATH 224 - Introduction to Probability and Statistics (s)”
    3
  13. PHYS 241
    General Physics I
    As published: “PHYS 241 - General Physics I (s) (SR)”
    3
  14. PHYS 251
    General Physics I Lab
    As published: “PHYS 251 - General Physics I Lab (s) (SR)”
    1
  15. MATH 215
    Introduction to Mathematical Literature and Research Tools
    As published: “MATH 215 - Introduction to Mathematical Literature and Research Tools (s)”
    1
  16. MATH 211
    MATH 211 - Mathematical Logic and Proof Techniques (formerly MATH 311) (s)
    Not resolved to a course
    4
  17. PHYS 242
    General Physics II
    As published: “PHYS 242 - General Physics II (s) (SR)”
    3
  18. PHYS 252
    General Physics II Lab
    As published: “PHYS 252 - General Physics II Lab (s) (SR)”
    1
  19. STAT 324
    Statistical Methods for Data Analysis
    As published: “STAT 324 - Statistical Methods for Data Analysis (s)”
    3
  20. SPCH 250
    Speech Fundamentals
    As published: “SPCH 250 - Speech Fundamentals (s) (HFA)”
    3
  21. MATH 377
    MATH 377 - Intermediate Analysis I (formerly MATH 507) (s)
    Not resolved to a course
    3
  22. MATH 351
    MATH 351 - Linear Algebra and Matrix Theory (formerly MATH 450) (s)
    Not resolved to a course
    3
  23. MATH 365
    Introduction to Data Science Credit(s)
    As published: “MATH 365 - Introduction to Data Science Credit(s)”
  24. STAT 327
    Regression Analysis
    As published: “STAT 327 - Regression Analysis (s)”
    3
  25. STAT 333
    STAT 333 - Probability Theory with Applications (formerly STAT 423) (s)
    Not resolved to a course
    3
  26. STAT 334
    STAT 334 - Statistical Inference (formerly STAT 424) (s)
    Not resolved to a course
    3
  27. MATH 341
    MATH 341 - Introduction to Differential Equations (formerly MATH 431) (s)
    Not resolved to a course
    3
  28. STAT 328
    Statistical Machine Learning I
    As published: “STAT 328 - Statistical Machine Learning I Credit(s)”
  29. STAT 337
    Experimental Design and Sampling
    As published: “STAT 337 - Experimental Design and Sampling (s)”
    3
  30. STAT 428
    Statistical Machine Learning II Credit(s)
    As published: “STAT 428 - Statistical Machine Learning II Credit(s)”
    3
  31. MATH 320
    MATH 320 - History of Mathematics (formerly MATH 420) (s)
    Not resolved to a course
    3
  32. MATH 496
    Capstone Experience in Mathematics
    As published: “MATH 496 - Capstone Experience in Mathematics (s)”
    3
  33. STAT 425
    Computational Statistics
    As published: “STAT 425 - Computational Statistics (s)”
    3

Electives 5 Credit(s)

4 items
  1. STAT 703
    Probability Theory and Applications
    As published: “STAT 703 - Probability Theory and Applications”
    3
  2. STAT 707
    Intro Data Science and Anaytics
    As published: “STAT 707 - Intro Data Science and Anaytics”
    3
  3. STAT 704
    Statistical Inference
    As published: “STAT 704 - Statistical Inference”
    3
  4. MATH 782
    Stat Data Analytics and Visual
    As published: “MATH 782 - Stat Data Analytics and Visual”
    3

Major Program Requirements

25 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 211
    MATH 211 - Mathematical Logic and Proof Techniques (formerly MATH 311) (s)
    Not resolved to a course
    4
  8. MATH 215
    Introduction to Mathematical Literature and Research Tools
    As published: “MATH 215 - Introduction to Mathematical Literature and Research Tools (s)”
    1
  9. MATH 224
    Introduction to Probability and Statistics
    As published: “MATH 224 - Introduction to Probability and Statistics (s)”
    3
  10. MATH 231
    Calculus III
    As published: “MATH 231 - Calculus III (s)”
    4
  11. MATH 320
    MATH 320 - History of Mathematics (formerly MATH 420) (s)
    Not resolved to a course
    3
  12. MATH 341
    MATH 341 - Introduction to Differential Equations (formerly MATH 431) (s)
    Not resolved to a course
    3
  13. MATH 351
    MATH 351 - Linear Algebra and Matrix Theory (formerly MATH 450) (s)
    Not resolved to a course
    3
  14. MATH 365
    Introduction to Data Science Credit(s)
    As published: “MATH 365 - Introduction to Data Science Credit(s)”
  15. MATH 377
    MATH 377 - Intermediate Analysis I (formerly MATH 507) (s)
    Not resolved to a course
    3
  16. MATH 496
    Capstone Experience in Mathematics
    As published: “MATH 496 - Capstone Experience in Mathematics (s)”
    3
  17. STAT 240
    Data Exploration and Visualization
    As published: “STAT 240 - Data Exploration and Visualization Credit(s)”
  18. STAT 324
    Statistical Methods for Data Analysis
    As published: “STAT 324 - Statistical Methods for Data Analysis (s)”
    3
  19. STAT 327
    Regression Analysis
    As published: “STAT 327 - Regression Analysis (s)”
    3
  20. STAT 328
    Statistical Machine Learning I
    As published: “STAT 328 - Statistical Machine Learning I Credit(s)”
  21. STAT 333
    STAT 333 - Probability Theory with Applications (formerly STAT 423) (s)
    Not resolved to a course
    3
  22. STAT 334
    STAT 334 - Statistical Inference (formerly STAT 424) (s)
    Not resolved to a course
    3
  23. STAT 337
    Experimental Design and Sampling
    As published: “STAT 337 - Experimental Design and Sampling (s)”
    3
  24. STAT 425
    Computational Statistics
    As published: “STAT 425 - Computational Statistics (s)”
    3
  25. STAT 428
    Statistical Machine Learning II Credit(s)
    As published: “STAT 428 - Statistical Machine Learning II Credit(s)”
    3
Source. Randolph Community College, catalog 2025-2026 Undergraduate Catalog — https://catalog.ncat.edu/preview_program.php?catoid=19&poid=3161. Captured page pages/0212.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.