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Program checklist · Data Science

Data Science

University of Mary Washington · Fredericksburg, VA

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
Data Science
Total credits (published)
47-48
Credits (computed from items)
38-39
Catalog edition
2026-2027
Checklist type
degree-program
Identifiers
IPEDS UNITID
232681
CourseShelf checklist
CK_232681_c610a0b2
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 59

Requirements to complete

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

Major Requirements

major core · 12 items
  1. DATA 101
    - Introduction to Data Science
    As published: “Introduction to Data Science”
    3
  2. DATA 219
    - Foundations for Data Science
    As published: “Foundations for Data Science”
    3
  3. STAT 180
    - Introduction to Statistics
    As published: “Introduction to Statistics”
    3
  4. STAT 280
    - Statistical Methods
    As published: “Statistical Methods”
    3
  5. STAT 320
    - Applied Regression Analysis
    As published: “Applied Regression Analysis”
    3
  6. STAT 381
    - Probability and Statistical Inference
    As published: “Probability and Statistical Inference”
    3
  7. CPSC 225
    - Software Development Tools
    As published: “Software Development Tools”
    1
  8. DATA 350
    - Applications of Databases
    As published: “Applications of Databases”
    4
  9. MATH 121
    - Calculus I
    As published: “Calculus I”
    4
  10. MATH 122
    - Calculus II
    As published: “Calculus II”
    4
  11. MATH 201
    - Introduction to Discrete Mathematics
    As published: “Introduction to Discrete Mathematics”
    or: CPSC 284 Applied Discrete Mathematics
    3-4
  12. MATH 300
    - Linear Algebra
    As published: “Linear Algebra”
    4

Data Mining

1 item
  1. DATA 419
    - Data Mining
    As published: “Data Mining”
    3

Select one of the following:

1 item
  1. DATA 370A9
    Information Storage and Retrieval Systems
    Not resolved to a course
    or: DATA 420 Modeling and Simulation

Select one of the following:

7 items
  1. DATA 470D3
    Natural Language Processing
    Not resolved to a course
  2. DATA 470
    - Advanced Special Topics in Data Science
    As published: “Advanced Special Topics in Data Science (Course must be at least 3 credits.)”
    1-4
  3. DATA 470D1
    Deep Learning in Python
    Not resolved to a course
  4. DATA 491
    - Individual Study in Data Science
    As published: “Indiv Study in Data Science (Course must be at least 3 credits.)”
    1-4
  5. STAT 382
    - Probability and Statistical Inference
    As published: “Probability and Statistical Inference”
    3
  6. STAT 420
    - Applied Multivariate Statistics
    As published: “Applied Multivariate Statistics”
    3
  7. STAT 461
    - Topics in Statistics
    As published: “Topics in Statistics”
    3
Source. University of Mary Washington, catalog 2026-2027 — https://catalog.umw.edu/undergraduate/majors/data-science/. Captured page pages/0029.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.