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Program checklist · Minor

Data Analytics Minor

Westminster College · New Wilmington, 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
216807
CourseShelf checklist
CK_216807_e9dc771a
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 59

Requirements to complete

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

The Minor in Data Analytics

2 items
  1. CS 130
    4
  2. CS 230
    Introduction to Data Science
    As published: “Introduction to Data Science (prerequisite of one course in statistics or CS 152 or instructor permission)”
    4

One course from the following

6 items
  1. BIO 206
    Biostatistics and Experim Design
    As published: “Biostatistics and Experim Design (Prerequisite: C- or better in BIO 201)”
    4
  2. ECO 220
    4
  3. MTH 135
    4
  4. MTH 335
    Statistics
    As published: “Statistics (Prerequisite: C- or better in MTH 152 and in MTH 241)”
    4
  5. PSY 201
    Experimental Design and Statistics
    As published: “Experimental Design and Statistics (Prerequisite: PSY 101)”
    4
  6. SSC 252
    4

Four semester hours from the following

4 items
  1. CS 110
    2
  2. CS 111
    2
  3. CS 112
    2
  4. CS 151
    Principles of Computer Science I
    As published: “Principles of Computer Science I (prerequisite: prior programming experience recommended)”
    4

Eight credit hours from the following

12 items
  1. BA 225
    Management Information Systems
    As published: “Management Information Systems (prerequisite: ACC 201 or BA 140 or ECO 150)”
    4
  2. BIO 405
    Bioinformatics Explorations
    As published: “Bioinformatics Explorations (prerequisite of BIO 201)”
    4
  3. CS 110
    Introduction to Python
    As published: “Introduction to Python (Any two of CS 110 Introduction to Python, CS111 Introduction to Ruby, CS112 Introduction to R (if not counted above))”
    2
  4. CS 111
    Introduction to Ruby
    As published: “Introduction to Ruby (Any two of CS 110 Introduction to Python, CS111 Introduction to Ruby, CS112 Introduction to R (if not counted above))”
    2
  5. CS 112
    Introduction to R
    As published: “Introduction to R (Any two of CS 110 Introduction to Python, CS111 Introduction to Ruby, CS112 Introduction to R (if not counted above))”
    2
  6. CS 151
    Principles of Computer Science I
    As published: “Principles of Computer Science I (if not counted above, (prerequisite: prior programming experience recommended)”
    4
  7. CS 321
    Database Theory and Design
    As published: “Database Theory and Design (co-requisite CS 251)”
    4
  8. CS 341
    Artificial Intelligence
    As published: “Artificial Intelligence (prerequisite CS 251)”
    4
  9. ES 251
    4
  10. PHI 260
    4
  11. CS 590
    Field Experience/Internship
    As published: “Field Experience/Internship (Disciplinary internship that involves Data Analytics)”
    1-4
  12. CS 615
    Advanced Topics: Machine Learning
    As published: “Advanced Topics: Machine Learning (prerequisite CS 251)”
    4

Additional Requirement

0 items
    Source. Westminster College, catalog 2026-2027 — https://catalog.westminster.edu/preview_program.php?catoid=12&poid=1514. Captured page pages/0107.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.