Fred K. Boadu
boadu@duke.eduCEE Director of Master’s Studies, Associate Professor of Civil & Environmental Engineering
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.
More and more systems are designed and tested virtually.
Success requires solid knowledge of engineering physics, computer science, probability, data sciences and applied mathematics—this master’s degree provides strong foundations in each of those over a three-semester study plan.
Duke will help get you there. Rare for professional master’s programs, we offer scholarships—up to $30,000 to competitive applicants.
Development EngineerThe problem-solving skills I learned were the most valuable part of my Duke experience.
An engineering degree is suitable, but not required.
If you have an interest in computer modeling and have a background in physics, computer science or mathematics—this may be an ideal master’s degree program for you.
Typically $20,000 to $30,000 for competitive applicants.
30 credits:
Choose one:
Choose one:
Choose four courses total; at least one in each application area:
Other course offerings may be substituted with consent of the Director of Masters Studies.
CE 703/ME 703: Industrial Colloquia in Computational Mechanics & Scientific Computing
Category | Fall 1 | Spring 1 | Summer 1 | Fall 2 |
---|---|---|---|---|
Core Industry Preparation Courses | MENG 570 Business Fundamentals for Engineers | MENG 540 Leadership & Management Principles for Technology-Based Organizations | MENG 550 Internship or Applied Research Project | MENG 551 Internship/Project Assessment |
Finite Element Method Courses | CEE 530/ME 524 Introduction to the Finite Element Method | CEE 630/ME 525 Nonlinear Finite Element Method | ||
Applied Math/Statistics Course | MATH 561 Numerical Linear Algebra | |||
Computer Science Course | CS 590 Parallel Computing | |||
Technical Electives | Elective 1 | Elective 2 | Elective 3 Elective 4 | |
Proseminar | CE 703/ME 703 Industrial Colloquium in Computational Mechanics & Scientific Computing |
Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science
Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science
Paul Ruffin Scarborough Associate Professor of Engineering
Professor in the Department of Civil and Environmental Engineering
Associate Professor in the Department of Civil and Environmental Engineering
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CEE Director of Master’s Studies, Associate Professor of Civil & Environmental Engineering