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Program checklist · Data Science MSDS

Data Science MSDS

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
Data Science MSDS
Total credits (published)
45.0-46.0
Credits (computed from items)
45-46
Catalog edition
2026
Checklist type
degree-program
Identifiers
IPEDS UNITID
212054
CourseShelf checklist
CK_212054_7fa5d83b
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

    Required Certificates

    0 items

      Data Science Foundations

      13 items
      1. DSCI 511
        3.0
      2. DSCI 521
        3.0
      3. Choose 2 courses from the following:
        Not resolved to a course
        6.0
      4. CS 570
        Programming Foundations
        or: CS 501 Introduction to Programming
        3.0
      5. CS 503
        3.0
      6. CS 504
        3.0
      7. DSCI 501
        3.0
      8. INFO 590
        3.0
      9. INFO 605
        3.0
      10. INFO 620
        3.0
      11. INFO 633
        3.0
      12. INFO 659
        3.0
      13. INFO 725
        Information Policy and Ethics
        As published: “Information Policy and Ethics (Machine Learning for Data Science Electives (option to complete a certificate))”
        3.0

      Machine Learning for Data Science

      15 items
      1. DSCI 631
        3.0
      2. DSCI 641
        3.0
      3. Choose 2 of the following:
        Not resolved to a course
        6.0
      4. CS 570
        Programming Foundations
        or: CS 501 Introduction to Programming
        3.0
      5. CS 502
        3.0
      6. CS 583
        3.0
      7. CS 613
        3.0
      8. CS 614
        3.0
      9. CS 615
        3.0
      10. DSCI 501
        3.0
      11. DSCI 521
        3.0
      12. DSCI 690
        3.0
      13. DSCI 691
        3.0
      14. INFO 623
        3.0
      15. INFO 624
        3.0

      Required Core Course

      major core · 1 item
      1. DSCI 632
        3.0

      Required Capstone Courses

      2 items
      1. DSCI 591
        3.0
      2. DSCI 592
        3.0

      Electives of Optional Third Certificate

      electives · 1 item
      1. Student can choose any combination of any courses listed below for a total of 45.0 credits (12.0 credits beyond the required 33.0 credits). If a student choose all courses listed in a single area, they may apply for a graduate certificate in that area. A degree student may receive a maximum of three certificates.
        Not resolved to a course
        12.0

      Students can apply for a third (optional) certificate such as Big Data Analytics PBC, HCI/UX Research and Design PBC, and Applied AI/ML PBC.

      0 items

        A course cannot be used to satisfy multiple parts of the degree requirements.

        0 items

          Big Data Analytics (optional 3rd certificate)

          2 items
          1. DSCI 611
            3.0
          2. DSCI 632
            3.0

          Choose 2 of the following:

          15 items
          1. CS 570
            Programming Foundations
            or: CS 501 Introduction to Programming
            3.0
          2. CS 502
            3.0
          3. CS 540
            3.0
          4. CS 615
            3.0
          5. CS 647
            3.0
          6. CS 660
            3.0
          7. CT 500
            3.0
          8. CT 600
            3.0
          9. CT 605
            3.0
          10. DSCI 501
            3.0
          11. DSCI 521
            3.0
          12. DSCI 691
            3.0
          13. INFO 605
            3.0
          14. INFO 607
            3.0
          15. INFO 623
            3.0

          Applied AI/ML (optional 3rd certificate)

          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

          Choose 1 of the following:

          9 items
          1. CS 502
            3.0
          2. CS 503
            3.0
          3. DSCI 501
            3.0
          4. DSCI 511
            3.0
          5. DSCI 521
            3.0
          6. DSCI 631
            3.0
          7. INFO 612
            3.0
          8. INFO 692
            3.0
          9. INFO 693
            3.0

          HCI/UX Research and Design (optional 3rd certificate)

          4 items
          1. INFO 508
            Information Innovation through Design Thinking
            or: DSRE 620 Design Problem Solving
            3.0
          2. INFO 615
            3.0
          3. INFO 690
            3.0
          4. INFO 691
            3.0

          Additional appropriate graduate level (500-899) Data Science (DSCI), Information Systems (INFO), Computer Science (CS), Software Engineering (SE), or Artificial Intelligence, consulting with your advisor.

          2 items
          1. Optional Co-op Experience *
            Not resolved to a course
            0-1
          2. COOP 500
            1.0
          Source. Drexel University, catalog 2026 — https://catalog.drexel.edu/graduate/computer-information-sciences/datascience/. Captured page pages/0187.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.