Master of Engineering in Mechanical Engineering
Program Code: E-EGR-ME
Degree Designation: Master of Engineering
Department: Mechanical Engineering and Materials Science
Website: mems.duke.edu/masters/degrees/meng
Program Summary
The Duke MEMS Master of Engineering degree provides a unique combination of advantages that only Duke can offer:
Interdisciplinary training in engineering, science, and management
Flexible, individualized curriculum combined with a required industry internship
Three-semester study plans without a thesis
Excellent career outcomes in the industry
The Duke Master of Engineering includes a flexible curriculum of engineering, science, and business training over three semesters—about 1.5 years:
Get rigorous training while developing an engineering specialty of your design
Business courses are enhanced by an internship with a leading company
Academic Requirements
Core Industry Preparatory Courses (complete all)
MENG 540 Management of High Tech Industries
MENG 570 Business Fundamentals for Engineers
Internship/Project and Assessment (complete all)
MENG 550 Master of Engineering Internship/Project
MENG 551 Master of Engineering Internship/Project Assessment
Specialty Requirement (complete any)
Autonomous, Intelligent Systems & Machines (complete 12 credits)
ME 535
ME 627
ME 555 (topics: DATA DRIVEN DYNAMIC SYSTEMS; EXP DESIGN & RESEARCH METHODS; MODEL PREDICTIVE CONTROL; NUMERICAL OPTIMIZATION)
Energy, Propulsion, & Structures for Earth & Space (complete 12 credits): CEE 622, CHEM 548, ME 512, ME 516, ME 524, ME 525, ME 527, ME 531, ME 532, ME 536, ME 539, ME 541, ME 543, ME 544, ME 571, ME 572, ME 631, ME 639, ME 671, ME 672, ME 676, ME 742, ME 775, ME 555 (topics: EXP DESIGN & RESEARCH METHODS; MECHANICS DEFORMABLE STRUCTURE; SOLAR THERMAL ENERGY APPLS; WIND TURBINE DESIGN & ANALYSIS)
Optimal Design for Virtual & Physical Systems (complete 12 credits): CEE 622, ME 524, ME 525, ME 527, ME 531, ME 532, ME 535, ME 541, ME 742, ME 555 (topics: DATA DRIVEN DYNAMIC SYSTEMS; EXP DESIGN & RESEARCH METHODS; MODEL PREDICTIVE CONTROL; NUMERICAL OPTIMIZATION; SCI COMPUTING, SIMULATION & ML)
Mathematics (complete 3 credits)
ME 511, ME 524, ME 525, ME 639
COMPSCI 500 to COMPSCI 790
MATH 500 to MATH 798
STA 500 to STA 799
ME 555 (topics: INTRO TO PROGRAMMING; NUMERICAL OPTIMIZATION; PHYSICS OF COLOIDAL DISPERSION; SCI COMPUTING, SIMULATION & ML)
Electives (complete 9 credits)
AIPI 510 to AIPI 590L
BME 500 to BME 850
CEE 500 to CEE 890
CYBERSEC 510 to CYBERSEC 590L
ECE 500 to ECE 781
EGRMGMT 510 to EGRMGMT 590L
FINTECH 510 to FINTECH 590L
ME 500 to ME 775