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Program checklist · AI + Materials Master of Engineering

AI + Materials 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 + Materials Master of Engineering
Credential class
ceterms:MasterDegree
CIP
30.3001
Catalog edition
2026
Checklist type
degree-program
Identifiers
IPEDS UNITID
198419
CourseShelf checklist
CK_198419_2d34d431
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

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

Career Preparation Core:

15 items
  1. MENG 540
    Management of High-Tech Industries
    As published: “MENG 540 Management of High-Tech Industries”
    3
  2. MENG 570
    Business Fundamentals for Engineers
    As published: “MENG 570 Business Fundamentals for Engineers”
    3
  3. MENG 550
    Internship
    As published: “MENG 550/551 Industry Internship & Assessment”
  4. MENG 570
    Business Fundamentals for Engineers
    As published: “MEng 570: Business Fundamentals”
    3
  5. MENG 540
    Management of High-Tech Industries
    As published: “MEng 540: Leadership & Management”
    3
  6. MENG 550
    Internship
    As published: “MEng 550: Internship or Project”
  7. MENG 551
    Internship/Project Assessment
    As published: “MEng 551: Internship Assessment”
  8. STA 611
    Introduction to Mathematical Statistics
    As published: “STA 611: Intro to Mathematical Statistics”
  9. ME 555
    Intro to Python and ML for Engineers
    As published: “ME 555: Intro to Python and ML for Engineers”
  10. ME 562
    Materials Synthesis and Processing
    As published: “ME 562: Materials Synthesis and Processing”
  11. ME 514
    Applied Polymer Science
    As published: “ME 514: Applied Polymer Science”
  12. ME 582
    Applications of AI in Materials
    As published: “ME582: Applications of AI in Materials”
  13. ME 524
    Optimization in Mechanics & Materials
    As published: “ME 524: Optimization in Mechanics & Materials”
  14. ME 512
    Modern Materials
    As published: “ME 512: Modern Materials”
  15. CS 572
    Intro to Natural Language Processing
    As published: “CS 572: Intro to Natural Language Processing”

Career Preparation Core

38 items
  1. MENG 540
    Management of High-Tech Industries
    As published: “MENG 540: Management of High-Tech Industries”
    3
  2. MENG 570
    Business Fundamentals for Engineers
    As published: “MENG 570: Business Fundamentals for Engineers”
    3
  3. MENG 550
    Internship
    As published: “MENG 550/551: Internship and Internship assessment”
  4. STA 521L
    Predictive Modeling and Statistical Learning
    As published: “STA 521L: Predictive Modeling and Statistical Learning”
  5. STA 522L
    Study Design: Design of Surveys and Causal Studies
    As published: “STA 522L: Study Design: Design of Surveys and Causal Studies”
  6. STA 523L
    Programming for Statistical Science
    As published: “STA 523L: Programming for Statistical Science”
  7. STA 611
    Introduction to Mathematical Statistics
    As published: “STA 611: Introduction to Mathematical Statistics”
  8. ME 555
    Intro to Python and ML for Engineers
    As published: “ME 555-09/CEE 690 Data Science and machine learning for applied science and engineering”
  9. CS 570
    Artificial Intelligence
    As published: “CS 570: Artificial Intelligence”
  10. ECE 580
    Introduction to Machine Learning
    As published: “ECE 580: Introduction to Machine Learning”
  11. ECE 682D
    Probabilistic Machine Learning
    As published: “ECE 682D/STA 561D: Probabilistic Machine Learning”
  12. ECE 685D
    Introduction to Deep Learning
    As published: “ECE 685D/COMPSCI 675D: Introduction to Deep Learning”
  13. ECE 590
    Computer Engineering ML and Deep Neural Nets
    As published: “ECE 590: Advanced Deep Learning”
  14. ECE 590
    Computer Engineering ML and Deep Neural Nets
    As published: “ECE 590: Computer Engineering ML and Deep Neural Nets”
  15. CEE 520
    Continuum Mechanics
    As published: “CEE 520: Continuum Mechanics”
  16. CEE 521
    Elasticity
    As published: “CEE 521: Elasticity”
  17. CHEM 548
    Solid-State/Materials Chemistry
    As published: “CHEM 548: Solid-State/Materials Chemistry”
  18. CHEM 590
    Polymer Synthesis
    As published: “CHEM 590: Polymer Synthesis”
  19. ECE 524
    Introduction to Solid-State Physics
    As published: “ECE 524: Introduction to Solid-State Physics”
  20. ECE 511
    Foundations of Nanoscale Science & Technology
    As published: “ECE 511: Foundations of Nanoscale Science & Technology”
  21. ME 510
    Diffraction and Spectroscopy
    As published: “ME 510: Diffraction and Spectroscopy”
  22. ME 512
    Modern Materials
    As published: “ME 512: Modern Materials”
  23. ME 514
    Applied Polymer Science
    As published: “ME 514: Theoretical and Applied Polymer Science”
  24. ME 515
    Electronic Materials
    As published: “ME 515: Electronic Materials”
  25. ME 519
    Molecular Modeling of Soft Materials
    As published: “ME 519: Molecular Modeling of Soft Materials”
  26. ME 555
    Intro to Python and ML for Engineers
    As published: “ME 555 Intermediate Polymer Physics”
  27. ME 555
    Intro to Python and ML for Engineers
    As published: “ME 555: Intro to Rheology”
  28. ME 562
    Materials Synthesis and Processing
    As published: “ME 562: Materials Synthesis and Processing”
  29. ME 563
    Fundamentals of Soft Matter
    As published: “ME 563: Fundamentals of Soft Matter”
  30. ME 564
    Introduction to Polymer Physics
    As published: “ME 564: Introduction to Polymer Physics”
  31. PHYS 516
    Quantum Materials
    As published: “PHYS 516: Quantum Materials”
  32. ME 555
    Intro to Python and ML for Engineers
    As published: “ME 555: Numerical Optimization”
  33. ME 511
    Computational Materials Science
    As published: “ME 511: Computational Materials Science”
  34. ME 524
    Optimization in Mechanics & Materials
    As published: “ME 524: Introduction to the Finite Element Method”
  35. ME 525
    Nonlinear Finite Element Analysis
    As published: “ME 525: Nonlinear Finite Element Analysis”
  36. ME 519
    Molecular Modeling of Soft Materials
    As published: “ME 519: Molecular Modeling of Soft Materials”
  37. ME 555
    Intro to Python and ML for Engineers
    As published: “ME 555: Multiscale Methods”
  38. ME 555
    Intro to Python and ML for Engineers
    As published: “ME 555: Sci Computing, Simulation and ML”
Source. Duke University, catalog 2026 — https://mems.duke.edu/academics/masters/meng-ai-materials/. Captured page pages/1004.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.