KSAWorks
KSAWorks
Knowledge • Skills • Abilities
Program checklist · Minor

Data Science and Artificial Intelligence Minor

York College of Pennsylvania · York, PA

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
Minor
Catalog edition
2026-2027
Checklist type
degree-program
Identifiers
IPEDS UNITID
217059
CourseShelf checklist
CK_217059_4cb3fe68
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 59

Requirements to complete

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

Requirements (15 credits)

3 items
  1. As published: “Machine Learning 3 credit hours”
    3
  2. As published: “Fundamentals of Computer Science I 3 credit hours”
    3
  3. As published: “Intro to Data Science 3 credit hours”
    3

Statistics Elective

6 items
  1. As published: “Statistics 3 credit hours (MAT250 is strongly recommended to fulfill the Statistics Elective requirement.)”
    3
  2. As published: “Statistics for the Behavioral Sciences 3 credit hours”
    3
  3. As published: “Biostatistics 3 credit hours”
    3
  4. As published: “Criminal Justice Statistics 3 credit hours”
    3
  5. As published: “Design and Analysis II 3 credit hours”
    3
  6. As published: “Data Driven Decision Making 3 credit hours”
    3

Minor Elective

4 items
  1. As published: “Enterprise Data Management 3 credit hours”
    3
  2. As published: “Linear Algebra I 3 credit hours”
    3
  3. As published: “Introduction to Analytics 3 credit hours”
    3
  4. As published: “Supply Chain Analytics 3 credit hours”
    3
Source. York College of Pennsylvania, catalog 2026-2027 — https://catalog.ycp.edu/preview_program.php?catoid=59&poid=6628. Captured page pages/0142.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.