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Program checklist · B.S.

Computer Science B.S.

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
B.S.
Credential class
ceterms:BachelorDegree
CIP
11.0101
Total credits (published)
127
Credits (computed from items)
124
Catalog edition
2026-2027
Checklist type
degree-program
Identifiers
IPEDS UNITID
234076
CourseShelf checklist
CK_234076_2f92cc66
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 59

Requirements to complete

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

School of Engineering and Applied Science General Requirements

14 items
  1. APMA 1090
    3
  2. APMA 1110
    4
  3. APMA 2120
    4
  4. CHEM 1410
    3
  5. CHEM 1411
    1
  6. CS 111X
    Introduction to Programming (more info below) Credits /
    Not resolved to a course
    3
  7. ENGR 1010
    4
  8. ENGR 1020
    3
  9. PHYS 1425
    3
  10. PHYS 1429
    1
  11. Physics 2 and Lab: Chosen from ECE 2200 (4 credits) OR PHYS 2415 (3 credits) AND PHYS 2419 (1 credit) Credits /
    Not resolved to a course
    4
  12. STS 2600
    3
  13. STS 4500
    3
  14. STS 4600
    3

Introduction to Programming

4 items
  1. CS 1110
    3
  2. CS 1111
    3
  3. CS 1112
    3
  4. CS 1113
    3

Foundation Courses

7 items
  1. CS 2100
    4
  2. CS 2120
    3
  3. CS 2130
    4
  4. CS 3100
    3
  5. CS 3120
    3
  6. CS 3130
    4
  7. CS 3140
    3

Upper-Level Required Courses

6 items
  1. CS 3240
    3
  2. CS Capstone The CS Capstone is comprised of a three-credit course and the creation of a technical report appropriate for publication. The capstone experience should be taken concurrently with the SEAS Senior Thesis STS courses (STS 4500 and STS 4600) during the student’s last year at UVA. The options for the CS Capstone are:
    Not resolved to a course
  3. CS 4980
    1
  4. (Note: Three total credits of CS 4980 must be completed if a student chooses this option, but the credits can be divided between multiple semesters if desired.)
    Not resolved to a course
  5. CS 4971
    3
  6. CS 4991
    0

Computer Science Electives

6 items
  1. Must have a CS mnemonic. (NOTE: Students that are interested in taking a course that is cross-listed with a CS section must enroll in the CS section and not the other department’s section as there may be different prerequisites and assessments for the course.)
    Not resolved to a course
  2. Must be 3000 level or higher.
    Not resolved to a course
  3. Must not be a Foundation course or upper-level required course as defined above.
    Not resolved to a course
  4. Second digit of course number must not be 0 or 9, except as noted below.
    Not resolved to a course
  5. Two electives with significant overlap of material cannot both count toward the CS degree.
    Not resolved to a course
  6. Up to three (3) credits of CS 4993: Independent Study may count toward the CS elective requirement. Credits beyond this limit may be applied to the unrestricted elective requirement.
    Not resolved to a course

Applied Mathematics Electives

7 items
  1. APMA 3100
    3
  2. Choose two of these four:
    Not resolved to a course
  3. APMA 2130
    4
  4. APMA 3080
    3
  5. APMA 3120
    3
  6. APMA 3150
    3
  7. (Note: APMA 3120 and APMA 3150 are both statistics courses with substantial overlap and thus cannot both count toward the BSCS degree. Students interested in taking these courses should choose one or the other. Also, APMA 3110: Applied Statistics and Probability does not count toward the BSCS degree. Students switching to the BSCS major who have already had this course should consult with their advisor on further APMA courses.)
    Not resolved to a course

Math and Science Elective

0 items

    Humanities and Social Science (HSS) Electives

    0 items

      Unrestricted Electives

      0 items

        Concentration in Artificial Intelligence (AI)

        0 items

          Required Courses

          2 items
          1. CS 4710
            3
          2. CS 4774
            3

          AI Techniques Elective (3 credits)

          4 items
          1. CS 4501
            1
          2. Approved Topic: Machine Learning in Image Analysis Approved Topic: Autonomous Vehicles Approved Topic: Computer Vision
            Not resolved to a course
          3. CS 4770
            3
          4. CS 4771
            3

          AI Applications & Impacts Elective (3 credits)

          6 items
          1. CS 4501
            1
          2. Approved Topic: AI and Humanity Approved Topic: Carbon Efficient Computing Approved Topic: Law and AI Approved Topic: AI-Powered Cybersecurity Approved Topic: LLMs and Software Engineering Approved Topic: Risks and Benfits of Generative AI and LLMs
            Not resolved to a course
          3. COMM 4211
            3
          4. ECON 4444
            3
          5. MDST 3510
            3
          6. Approved Topic: AI Policy and Society
            Not resolved to a course

          Additional Information

          0 items
            Source. University of Virginia-Main Campus, catalog 2026-2027 — https://virginia.catalog.acalog.com/preview_program.php?catoid=72&poid=11700. Captured page pages/0127.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.