Master of Engineering in Computational Mechanics and Scientific Computing
Program Code: E-EGR-CMSC
Degree Designation: Master of Engineering
Department: Engineering Management Program
Website: cee.duke.edu/grad/masters/meng-computational-mechanics
Program Summary
Duke’s Master of Engineering in Computational Mechanics and Scientific Computing is one of the most comprehensive in the world—and features a top-notch faculty.
Increasingly, engineering systems are being designed and tested virtually. The successful use of model-based simulation in modern applications requires a solid background in engineering physics, computer science, probability, data sciences, and applied mathematics. This Master of Engineering program provides a strong foundation in all of these areas.
The program emphasizes the use and development of modern numerical tools for model-based simulations such as finite element methods, uncertainty quantification procedures, and data analysis techniques, among others.
We offer a large number of core and elective courses in finite element methods for applications in solid mechanics, fluid mechanics, and coupled field problems.
In the Duke Master of Engineering program, you take specialized technical classes and a core of business leadership and management courses, with a required internship or a project to complete the degree.
Academic Requirements
Core Industry Preparatory Courses (2 courses)
MENG 540
MENG 570
Internship/ Project and Assessment (2 courses)
MENG 550
MENG 551
Finite Element Methods (2 courses)
CEE 530/ME 524
CEE 630/ME 525
Applied Math/Statistics (1 course)
MATH 541
MATH 551
MATH 561
Computer Science (1 course)
ECE 551D
COMPSCI 590 (PARALLEL COMPUTING)
Concentration Requirements (4 courses)
1 Fluid Mechanics course
1 Mechanics of Materials course
1 Optimization/Data Analytics course
1 additional course
A comprehensive list of elective courses is available to students on the program webpage and the Stellic degree audit site.