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Program checklist · MS

Data Analytics Engineering, MS (Vancouver)

Northeastern University · Boston, MA

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
26.1104
Credits (computed from items)
45
Catalog edition
2026-2027
Checklist type
degree-program
Identifiers
IPEDS UNITID
167358
CourseShelf checklist
CK_167358_1daa0c0d
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

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

Core Requirements

major core · 5 items
  1. IE 6400
    4
  2. IE 6600
    4
  3. IE 6700
    4
  4. IE 7275
    Data Mining in Engineering
    As published: “Machine Learning and Data Analytics”
    4
  5. IE 7615
    Neural Networks and Deep Learning
    As published: “Deep Learning for AI”
    4

Project Option

2 items
  1. IE 7945
    4
  2. Complete 8 semester hours from the elective course list below.
    Not resolved to a course
    8

Thesis Option 1

3 items
  1. IE 7945
    4
  2. IE 7990
    4
  3. Complete 4 semester hours from the elective course list below.
    Not resolved to a course
    4

In addition to completing the thesis course, students must successfully complete the thesis submission process, including securing committee and Graduate School of Engineering signatures and submission of an electronic copy of their MS thesis to ProQuest.

0 items

    Optional Co-op Experience

    0 items

      Complete the following. Students must complete ENCP 6100 to qualify for co-op experience:

      2 items
      1. ENCP 6100
        1
      2. ENCP 6964
        Co-op Work Experience
        or: ENCP 6954 Co-op Work Experience - Half-Time
        or: ENCP 6955 Co-op Work Experience Abroad - Half-Time
        or: ENCP 6965 Co-op Work Experience Abroad
        0

      Elective Course List

      electives · 0 items

        Some elective options require completion of prerequisites outside of this program.

        electives · 38 items
        1. CS 5100
          4
        2. CS 5180
          4
        3. CS 5330
          4
        4. CS 6240
          4
        5. CS 6620
          4
        6. CS 7240
          4
        7. DADS 7305
          4
        8. DADS 7650
          4
        9. EECE 5645
          4
        10. EECE 7205
          4
        11. EMGT 5220
          4
        12. EMGT 6225
          4
        13. EMGT 6305
          4
        14. IE 5137
        15. IE 5200
          Mathematics for Machine Learning
          Not resolved to a course
        16. IE 5374
          Special Topics in Industrial Engineering (System Dynamics in Healthcare)
          As published: “Special Topics in Industrial Engineering”
        17. IE 5390
        18. IE 5400
          4
        19. IE 5630
        20. IE 5640
        21. IE 6300
        22. IE 6750
        23. IE 7200
          4
        24. IE 7215
        25. IE 7280
          4
        26. IE 7285
          4
        27. IE 7290
        28. IE 7295
        29. IE 7300
        30. IE 7374
        31. IE 7500
        32. INFO 6215
        33. INFO 7260
          Business Process Engineering
          Not resolved to a course
        34. ME 6200
          Mathematical Methods for Mechanical Engineers
          As published: “Mathematical Methods for Mechanical Engineers 1”
          1
        35. OR 6205
          4
        36. OR 7230
          4
        37. OR 7245
          4
        38. OR 7310
        Source. Northeastern University, catalog 2026-2027 — https://catalog.northeastern.edu/graduate/engineering/mechanical-industrial/data-analytics-engineering-ms-van/. Captured page pages/0684.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.