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Program checklist · Artificial Intelligence

Artificial Intelligence

Teachers College at Columbia University · New York, NY

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
Artificial Intelligence
CIP
27.0304
Catalog edition
2026
Checklist type
degree-program
Identifiers
IPEDS UNITID
196468
CourseShelf checklist
CK_196468_44cc5941
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

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

Mathematics Requirement (6-11 points)

0 items

    Calculus Requirement: Select one of the following courses:

    3 items
    1. 3.00
    2. 4.00
    3. 4.00

    Note that MATH UN1201 (Calculus III) requires Calculus I as a prerequisite but does NOT require Calculus II. MATH UN1205 and APMA E2000, however, require both Calculus I and Calculus II as prerequisites.

    0 items

      Linear Algebra Requirement: Select one of the following courses:

      6 items
      1. As published: “COMPUTATIONAL LINEAR ALGEBRA (recommended)”
        4.00
      2. 3.00
      3. 3.00
      4. MATH UN2020
        Honors Linear Algebra
        Not resolved to a course
      5. 3.00
      6. 3.00

      Probability / Statistics Requirement: Select one of the following courses:

      4 items
      1. 3.00
      2. 3.00
      3. 3.00
      4. 3.00

      NOTE: Math 2015 Linear Algebra and Probability may simultaneously satisfy both linear algebra and probability requirements without the need to take additional classes thus reducing the total number of points required.

      0 items

        Pre-intro course (Optional, 3-4 points)

        1 item
        1. As published: “INTRO TO COMP FOR ENG/APP SCI (recommended but not required)”
          or: COMS W1002 COMPUTING IN CONTEXT
          3.00

        Computer Science Core (20-21 points):

        major core · 0 items

          First Year

          1 item
          1. 3.00

          Sophomore Year

          3 items
          1. or: COMS W3137 HONORS DATA STRUCTURES & ALGOL
            3
          2. 4.00
          3. 4.00

          Junior and Senior Year

          0 items

            Complete the remaining required core courses:

            major core · 2 items
            1. 3.00
            2. 3.00

            Area Foundation Courses (9 to 12 points):

            21 items
            1. 3.00
            2. 3.00
            3. 3.00
            4. 3.00
            5. 3.00
            6. 3.00
            7. 3.00
            8. 3.00
            9. 3.00
            10. 3.00
            11. 3.00
            12. 3.00
            13. 3.00
            14. 3.00
            15. 3.00
            16. 3.00
            17. 3.00
            18. 3.00
            19. 3.00
            20. 3.00
            21. 3.00

            IS Core

            major core · 2 items
            1. 3.00
            2. As published: “Data Structures in Java (or )”
              3

            OR

            5 items
            1. 4.00
            2. 4.00
            3. 4.00
            4. 3.00
            5. 3.00

            One course in linear algebra OR prob/stat (STAT 1201, MATH 2015, and many others)

            0 items

              Area Foundation Courses (AFC)

              21 items
              1. 3.00
              2. 3.00
              3. 3.00
              4. 3.00
              5. 3.00
              6. 3.00
              7. 3.00
              8. 3.00
              9. 3.00
              10. 3.00
              11. 3.00
              12. 3.00
              13. 3.00
              14. 3.00
              15. 3.00
              16. 3.00
              17. 3.00
              18. 3.00
              19. 3.00
              20. 3.00
              21. 3.00

              IS Core Requirement, prior to Fall 2026

              major core · 1 item
              1. 3.00

              or COMS W1002 Computing in Context

              4 items
              1. 3.00
              2. 3.00
              3. 3
              4. 3.00

              Information Science and Contemporary Society

              6 items
              1. 3.00
              2. 3.00
              3. 3.00
              4. 3.00
              5. 4.00
              6. 4.00

              Information Science and the Economy

              6 items
              1. 3.00
              2. 3.00
              3. 3.00
              4. 4.00
              5. 3.00
              6. 3.00

              Information Science and Health Sciences

              6 items
              1. 3.00
              2. 3.00
              3. 3.00
              4. BINF G4001
                Not resolved to a course
              5. BIOL W4037
                Bioinformatics of Gene Expression
                Not resolved to a course
              6. ECBM E3060/E4060
                Not resolved to a course

              Major in Data Science

              major core · 0 items

                Prerequisites (15 points)

                4 items
                1. 3.00
                2. 3.00
                3. 3.00
                4. 3.00

                This introductory Statistics course:

                1 item
                1. 3.00

                Statistics (12 points)

                4 items
                1. STAT GU4203
                  PROBABILITY THEORY
                  Not resolved to a course
                2. STAT GU4204
                  STATISTICAL INFERENCE
                  Not resolved to a course
                3. STAT GU4205
                  LINEAR REGRESSION MODELS
                  Not resolved to a course
                4. 3.00

                or COMS W4771 Machine Learning

                0 items

                  Computer Science (12 points)

                  0 items

                    Select one of the following courses:

                    4 items
                    1. 3.00
                    2. 3.00
                    3. 3.00

                    Select one of the following courses:

                    3 items
                    1. 3
                    2. 4.00
                    3. 4.00

                    Two required courses:

                    2 items
                    1. 4.00
                    2. 3.00

                    Electives (15 points)

                    electives · 0 items

                      Select two of the following courses:

                      5 items
                      1. 3.00
                      2. STAT GU4206
                        PROGRAMMING FOR DATA SCIENCE
                        Not resolved to a course
                      3. 3.00
                      4. STAT GU4243
                        Not resolved to a course
                      5. STAT Q4242
                        Advanced Machine Learning
                        Not resolved to a course

                      Select three of the following courses:

                      4 items
                      1. 3.00
                      2. 3.00
                      3. 3.00
                      4. 3.00

                      Any COMS W47xx course EXCEPT W4771

                      0 items

                        ​Minor in Artificial Intelligence

                        4 items
                        1. 3.00
                        2. or: COMS W1002 COMPUTING IN CONTEXT
                          3.00
                        3. or: IEOR E2000 Data Engineering with Python
                          4.00
                        4. 3.00

                        AI Requirement:

                        1 item
                        1. 3.00

                        Ethics Requirement:

                        0 items

                          Choose one:

                          5 items
                          1. 3.00
                          2. 3.00
                          3. PSYC GU4836
                            Machine Intelligence
                            Not resolved to a course
                          4. 3.00
                          5. COMS BC3420
                            PRIVACY IN A NETWORKED WORLD
                            Not resolved to a course

                          AI Elective:

                          electives · 0 items

                            Choose One:

                            0 items

                              Any COMS 47XX course

                              0 items

                                Any "relevant COMS 4995/6998 course

                                23 items
                                1. 3.00
                                2. 3.00
                                3. 3.00
                                4. 3.00
                                5. 3.00
                                6. 3.00
                                7. 3.00
                                8. 3.00
                                9. 3.00
                                10. 3.00
                                11. 3.00
                                12. 3.00
                                13. 3.00
                                14. 3.00
                                15. 3.00
                                16. 3.00
                                17. 3.00
                                18. 3.00
                                19. 4.00
                                20. 3.00
                                21. STAT GU4242
                                  ADVANCED MACHINE LEARNING
                                  Not resolved to a course
                                22. STAT GU4243
                                  Not resolved to a course
                                23. STAT GU4244
                                  Unsupervised Learning
                                  Not resolved to a course

                                Concentration in Computer Science

                                concentration · 6 items
                                1. 3.00
                                2. or: COMS W3137 HONORS DATA STRUCTURES & ALGOL
                                  3
                                3. 4.00
                                4. 4.00
                                5. 3.00
                                6. As published: “FUNDAMENTALS OF COMPUTER SYSTS (or any 3 point 4000-level computer science course)”
                                  3.00

                                Select one of the following courses:

                                9 items
                                1. 4.00
                                2. 3.00
                                3. 3.00
                                4. MATH V2020
                                  Honors Linear Algebra
                                  Not resolved to a course
                                5. 3.00
                                6. 3.00
                                7. 3.00
                                8. 3.00
                                9. 3.00
                                Source. Teachers College at Columbia University, catalog 2026 — https://bulletin.columbia.edu/general-studies/majors-concentrations/artificial-intelligence. Captured page pages/0245.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.