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Program checklist · Minor

Data Science - Minor

University of Virginia-Main Campus · Charlottesville, 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
Minor
Credits (computed from items)
114
Catalog edition
2026-2027
Checklist type
degree-program
Identifiers
IPEDS UNITID
234076
CourseShelf checklist
CK_234076_d8b353e5
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 for Minor in Data Science

5 items
  1. 3 credit Foundational Programming course
    Not resolved to a course
  2. 3 credit Analytics course
    Not resolved to a course
  3. 3 credit Systems course
    Not resolved to a course
  4. 3 credit Data Design or Value course
    Not resolved to a course
  5. DS 4002
    Data Science Project
    As published: “or domain elective”
    3

Foundational Programming Course (select one course)

7 items
  1. DS 1002
    3
  2. CS 1110
    3
  3. CS 1111
    3
  4. CS 1112
    3
  5. CS 1113
    3
  6. PHYS 1655
    3
  7. Test credit for AP Computer Science A with a score of 4 or 5 or IB HL Computer Science with a score of 5, 6, or 7 is acceptable. The Foundational Programming requirement may not be substituted with another course taken at a higher level or the CS 1110 place-out test. Students who are ineligible to enroll in a Foundational Programming course due to previous experience may take an additional course in another area to total 15 credits for the minor. Students should enroll in an approved minor course and email SDSMinor@virginia.edu to ensure the requirement is satisfied in SIS.
    Not resolved to a course

Analytics Course (select one course)

3 items
  1. DS 3001
    3
  2. CS 4774
    3
  3. STAT 5630
    Statistical Machine Learning
    Not resolved to a course
    3

Systems Course (select one course)

4 items
  1. DS 2002
    3
  2. CS 4750
    3
  3. COMM 3220
    3
  4. SYS 2202
    4

Data Design & Value Course (select one course)

8 items
  1. DS 2003
    3
  2. DS 2004
    3
  3. SARC 5400
    Data Visualization
    Not resolved to a course
    3
  4. The following coures are also options:
    Not resolved to a course
  5. COMM 4221
    3
  6. NUIP 2311
    2
  7. NUIP 4311
    2
  8. STS 4600
    3

Domain Elective (select one course)

21 items
  1. DS 4002
    3
  2. DS 5110
    Big Data Systems
    Not resolved to a course
    3
  3. DS 4993
    1
  4. DS 4995
    1
  5. CHE 4452
    3
  6. COMM 4210
    3
  7. COMM 4211
    3
  8. COMM 4230
    3
  9. COMM 4260
    3
  10. COMM 4351
    3
  11. COMM 4522
    3
  12. Approved Topic: Business Analytics with Python Approved Topic: Foundations of Machine Learning and AI with Low-Code Approved Topic: Foundations of Machine Learning and AI w/ Python
    Not resolved to a course
  13. CS 3710
    3
  14. CS 4501
    1
  15. EVSC 3020
    4
  16. EVSC 4080
    3
  17. GSVS 4100
    3
  18. PHS 3102
    3
  19. STAT 4220
    3
  20. STAT 4630
    3
  21. STAT 4800
    3

Completion

0 items
    Source. University of Virginia-Main Campus, catalog 2026-2027 — https://virginia.catalog.acalog.com/preview_program.php?catoid=72&poid=11781. Captured page pages/0222.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.