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Program checklist · B.S.

Statistics, 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
27.0501
Total credits (published)
120
Credits (computed from items)
149
Catalog edition
2026-2027
Checklist type
degree-program
Identifiers
IPEDS UNITID
234076
CourseShelf checklist
CK_234076_8439aba4
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 59

Requirements to complete

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

Universal Curriculum Requirements

0 items

    Prerequisites: 16 - 17 credit hours

    0 items

      Calculus II: Fulfilled by one of the following courses

      2 items
      1. MATH 1320
        4
      2. APMA 2120
        4

      Introductory Statistics: Fulfilled by one of the following courses

      6 items
      1. STAT 1100
        3
      2. STAT 1120
        3
      3. STAT 2020
        4
      4. STAT 2120
        4
      5. APMA 3110
        3
      6. APMA 3120
        3

      Introductory Programming: Fulfilled by one of the following courses

      6 items
      1. STAT 1601
        3
      2. STAT 1602
        3
      3. CS 1110
        3
      4. CS 1111
        3
      5. CS 1112
        3
      6. CS 1113
        3

      EACH OF THE FOLLOWING

      2 items
      1. MATH 3100
        3
      2. STAT 3220
        3

      Program Requirements

      0 items

        Core Courses: 31 credit hours

        10 items
        1. STAT 3080
          3
        2. STAT 3120
          3
        3. STAT 3130
          3
        4. STAT 3220
          3
        5. MATH 3310
          4
        6. STAT 4120
          3
        7. STAT 4160
          3
        8. STAT 4996
          3
        9. MATH 3100
          3
        10. MATH 3350
          Applied Linear Algebra
          or: MATH 3351 - Elementary Linear Algebra
          3

        Restricted Electives: 15 credit hours

        0 items

          Data Analysis Restricted Electives: Minimum of 9 credit hours

          14 items
          1. STAT 3480
            3
          2. STAT 4130
            3
          3. STAT 4160
            3
          4. STAT 4170
            3
          5. STAT 4220
            3
          6. STAT 4630
            3
          7. STAT 4800
            3
          8. STAT 5140
            Survival Analysis and Reliability Theory
            Not resolved to a course
            3
          9. STAT 5170
            Applied Time Series
            Not resolved to a course
            3
          10. STAT 5310
            Clinical Trials Methodology
            Not resolved to a course
            3
          11. STAT 5330
            Data Mining
            Not resolved to a course
            3
          12. STAT 5390
            Exploratory Data Analysis
            Not resolved to a course
            3
          13. STAT 5630
            Statistical Machine Learning
            Not resolved to a course
            3
          14. SOC 5110
            Survey Research Methods
            Not resolved to a course
            3

          Computational Restricted Electives

          8 items
          1. STAT 3250
            3
          2. STAT 3280
            3
          3. ASTR 4140
            3
          4. COMM 3220
            3
          5. CS 4444
            3
          6. CS 4740
            3
          7. CS 4750
            3
          8. PHYS 5630
            Computational Physics
            Not resolved to a course
            3

          Course Duplication Limitations

          2 items
          1. Only one of STAT 4630 and STAT 5630 will satisfy the major requirements, as these are both versions of a machine learning course.
            Not resolved to a course
          2. Only one of STAT 4260, ASTR 4140, COMM 3220, and CS 4750 will satisfy the major requirements, as these are all versions of a database course.
            Not resolved to a course

          Description of Captsone

          0 items

            Additional Information

            0 items
              Source. University of Virginia-Main Campus, catalog 2026-2027 — https://virginia.catalog.acalog.com/preview_program.php?catoid=72&poid=11785. Captured page pages/0109.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.