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Program checklist · Artificial Intelligence and Machine Learning MSAIML

Artificial Intelligence and Machine Learning MSAIML

Drexel University · Philadelphia, 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
Artificial Intelligence and Machine Learning MSAIML
Total credits (published)
45.0-46.0
Credits (computed from items)
15
Catalog edition
2026
Checklist type
degree-program
Identifiers
IPEDS UNITID
212054
CourseShelf checklist
CK_212054_113103ba
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 59

Requirements to complete

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

Degree Requirements

0 items

    Core Courses

    major core · 1 item
    1. Choose appropriate core courses for concentration:
      Not resolved to a course
      9.0

    Applied

    3 items
    1. CS 501
      Introduction to Programming
      or: CS 570 Programming Foundations
      3.0
    2. CS 614
      3.0
    3. INFO 629
      3.0

    Computational

    3 items
    1. CS 510
      3.0
    2. CS 613
      3.0
    3. CS 615
      3.0

    Major Specific Electives

    electives · 0 items

      Choose five courses with at least one course from each group, for the appropriate concentration.

      concentration · 0 items

        Applied

        0 items

          Data Science Foundations

          8 items
          1. DSCI 501
            3.0
          2. DSCI 511
            3.0
          3. DSCI 521
            3.0
          4. DSCI 631
            3.0
          5. DSCI 632
            3.0
          6. DSCI 641
            3.0
          7. INFO 623
            3.0
          8. INFO 659
            3.0

          AI Foundations

          7 items
          1. CS 502
            3.0
          2. CS 503
            3.0
          3. CS 510
            3.0
          4. CS 613
            3.0
          5. DSCI 691
            3.0
          6. INFO 612
            3.0
          7. INFO 692
            3.0

          Human-Centered Computing

          6 items
          1. CT 620
            3.0
          2. INFO 508
            3.0
          3. INFO 590
            3.0
          4. INFO 608
            3.0
          5. INFO 693
            3.0
          6. INFO 725
            3.0

          Computational *

          0 items

            Data Science and Analytics

            8 items
            1. CS 660
              3.0
            2. DSCI 501
              3.0
            3. DSCI 511
              3.0
            4. DSCI 521
              3.0
            5. DSCI 631
              3.0
            6. DSCI 632
              3.0
            7. INFO 623
              3.0
            8. INFO 659
              3.0

            Algorithmic Foundations

            10 items
            1. CS 521
              3.0
            2. CS 522
              3.0
            3. CS 525
              3.0
            4. CS 540
              3.0
            5. CS 567
              3.0
            6. CS 616
              3.0
            7. CS 770
              3.0
            8. ECES 521
              3.0
            9. MATH 504
              3.0
            10. MATH 510
              3.0

            Applications of AI/ML

            14 items
            1. CS 583
              3.0
            2. CS 589
              3.0
            3. CS 610
              3.0
            4. CS 611
              3.0
            5. CS 614
              3.0
            6. CS 618
              3.0
            7. CS 630
              3.0
            8. DSCI 641
              3.0
            9. DSCI 691
              3.0
            10. INFO 629
              3.0
            11. INFO 693
              3.0
            12. BMES 547
              3.0
            13. ECE 612
              3.0
            14. ECE 613
              3.0

            Flexible Electives

            electives · 0 items

              Choose 5 additional courses, which may include:

              0 items

                Any graduate-level courses within the College (CI, CS, CT, DSCI, INFO, SE)

                0 items

                  Up to 6 credits of independent study

                  0 items

                    Up to 6 credits of related graduate-level coursework outside of the College, with prior approval by the College

                    0 items

                      Capstone Courses

                      2 items
                      1. CS 591
                        3.0
                      2. CS 592
                        3.0

                      Optional Coop Experience

                      1 item
                      1. COOP 500
                        Career Management and Professional Development for Master's Degree Students
                        As published: “Career Management and Professional Development for Master's Degree Students *”
                        1.0
                      Source. Drexel University, catalog 2026 — https://catalog.drexel.edu/graduate/computer-information-sciences/artificialintelligenceandmachinelearning/. Captured page pages/0383.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.