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Knowledge • Skills • Abilities
Program checklist · MS

Data Science, MS

Pace 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
MS
Credential class
ceterms:MasterDegree
CIP
30.7104
Total credits (published)
30
Credits (computed from items)
30
Catalog edition
2022-2023
Checklist type
degree-program
Identifiers
IPEDS UNITID
194310
CourseShelf checklist
CK_194310_eb4b889c
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

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

Bridge Courses

0 items

    Required if no previous background or coursework in database management or python programming; courses will count toward electives.

    electives · 2 items
    1. 3
    2. 3

    Core Courses (18 Credits)

    major core · 6 items
    1. 3
    2. 3
    3. 3
    4. 3
    5. 3
    6. 3

    Data Science Capstone Module (6 Credits)

    2 items
    1. CS 667
      Practical Data Science 1
      Not resolved to a course
      3
    2. 3

    Electives (6 Credits)

    electives · 0 items

      Choose two courses (6 credits) with advising consultation. Three credits must be in Computer Science Courses.

      0 items

        Bridge courses, if taken, will count as electives.

        electives · 0 items
          Source. Pace University, catalog 2022-2023 — https://catalog.pace.edu/graduate/schools/seidenberg-school-computer-science-information-systems/graduate-degree-programs/masters-science-programs/data-science-ms/. Captured page pages/0085.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.