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Program checklist · AI for Product Innovation Master of Engineering

AI for Product Innovation Master of Engineering

Duke University · Durham, NC

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
AI for Product Innovation Master of Engineering
Credential class
ceterms:MasterDegree
Catalog edition
1003
Checklist type
degree-program
Identifiers
IPEDS UNITID
198419
CourseShelf checklist
CK_198419_c93ceb42_1
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

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

Additional Requirements

32 items
  1. AIPI 503
    Python & Data Science Math Bootcamp
    As published: “AIPI 503: Python & Data Science Math Bootcamp”
  2. AIPI 510
    Sourcing Data for Analytics
    As published: “AIPI 510: Sourcing Data for Analytics”
  3. MENG 540
    Management of High-Tech Industries
    As published: “MENG 540: Management of High-tech Industries”
    3
  4. AIPI 560
    Legal
    As published: “AIPI 560: Legal, Societal & Ethical Implications of AI”
  5. AIPI 520
    Modeling Process & Algorithms
    As published: “AIPI 520: Modeling Process & Algorithms”
  6. AIPI 540
    Deep Learning Applications
    As published: “AIPI 540: Deep Learning Applications”
  7. AIPI 561
    Operationalizing AI (MLOps)
    As published: “AIPI 561: Operationalizing AI (MLOps)”
  8. AIPI 549
    Industry Capstone Project
    As published: “AIPI 549: Industry Capstone Project”
  9. MENG 570
    Business Fundamentals for Engineers
    As published: “MENG 570: Business Fundamentals for Engineers”
    3
  10. AIPI 501
    Industry Seminar Series
    As published: “AIPI 501: Industry Seminar Series”
  11. EGR 590
    Career Strategy & Design
    As published: “EGR 590: Career Strategy & Design”
  12. AIPI 503
    Python & Data Science Math Bootcamp
    As published: “AIPI 503: Python & Data Science Math Bootcamp”
  13. AIPI 510
    Sourcing Data for Analytics
    As published: “AIPI 510: Sourcing Data for Analytics”
  14. AIPI 540
    Deep Learning Applications
    As published: “AIPI 540: Deep Learning Applications”
  15. AIPI 560
    Legal
    As published: “AIPI 560: Legal, Societal & Ethical Implications of AI”
  16. AIPI 520
    Modeling Process & Algorithms
    As published: “AIPI 520: Modeling Process & Algorithms”
  17. AIPI 549
    Industry Capstone Project
    As published: “AIPI 549: Industry Capstone Project”
  18. AIPI 561
    Operationalizing AI (MLOps)
    As published: “AIPI 561: Operationalizing AI (MLOps)”
  19. MENG 570
    Business Fundamentals for Engineers
    As published: “MENG 570: Business Fundamentals for Engineers”
    3
  20. MENG 540
    Management of High-Tech Industries
    As published: “MENG 540: Management of High-Tech Industries”
    3
  21. AIPI 501
    Industry Seminar Series
    As published: “AIPI 501: Industry Seminar Series”
  22. EGR 590
    Career Strategy & Design
    As published: “EGR 590: Career Strategy & Design”
  23. AIPI 503
    Python & Data Science Math Bootcamp
    As published: “AIPI 503”
  24. AIPI 510
    Sourcing Data for Analytics
    As published: “AIPI 510”
  25. AIPI 520
    Modeling Process & Algorithms
    As published: “AIPI 520”
  26. AIPI 540
    Deep Learning Applications
    As published: “AIPI 540”
  27. MENG 570
    Business Fundamentals for Engineers
    As published: “MENG 570”
    3
  28. MENG 540
    Management of High-Tech Industries
    As published: “MENG 540”
    3
  29. AIPI 501
    Industry Seminar Series
    As published: “AIPI 501”
  30. AIPI 549
    Industry Capstone Project
    As published: “AIPI 549”
  31. AIPI 560
    Legal
    As published: “AIPI 560: Legal”
  32. AIPI 561
    Operationalizing AI (MLOps)
    As published: “AIPI 561: Operationalizing”
Source. Duke University, catalog 1003 — https://masters.pratt.duke.edu/aipi/. Captured page pages/1003.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.