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 (complete all; 6 credits)

  • MENG 540 Management of High Tech Industries

  • MENG 570 Business Fundamentals for Engineers

• Internship/ Project and Assessment (complete all; 0 credits)

  • MENG 550 Master of Engineering Internship/Project

  • MENG 551 Master of Engineering Internship/Project Assessment

• Finite Element Methods (complete all; 6 credits)

  • CEE 530/ME 524 Introduction to the Finite Element Method

  • CEE 630/ME 525 Nonlinear Finite Element Analysis

• Applied Math/Statistics (complete 3 credits)

  • MATH 541

  • MATH 551

  • MATH 561

• Computer Science (complete 3 credits)

  • ECE 551D

  • COMPSCI 590 (topic: PARALLEL COMPUTING)

• Concentration Requirements (complete any; 12 credits total)

  • Fluid Mechanics (complete any; 3 credits)

    • CEE 531

    • ME 572

    • ME 639

    • CEE 690 (topic: TURBULENCE)

  • Mechanics of Materials (complete any; 3 credits)

    • CEE 520

    • CEE 541

    • CEE 622

    • ME 555 (topic: COMPUTATIONAL MATLS SCIENCE)

  • Optimization/Data Analytics (complete any; 3 credits)

    • COMPSCI 571D

    • MATH 765

    • STA 502

    • CEE 690 (topic: NUMERICAL OPTIMIZATION)

    • ME 555 (topic: NUMERICAL OPTIMIZATION)