Civil and Environmental Engineering (Computational Mechanics and Scientific Computing)
The Master of Science in Civil and Environmental Engineering (Computational Mechanics and Scientific Computing) at University of Duke offers an advanced academic framework centered on numerical modeling, high-performance computation, and simulation-based engineering. The program helps students explore how mathematical models, computational algorithms, and data-driven methods can be used to understand the behavior of complex physical systems. Through rigorous coursework and research-focused training, learners gain the ability to design simulations, analyze large datasets, and evaluate engineering scenarios with an approach that is precise, quantitative, analytical, and systematic.
Throughout the one-year curriculum, students benefit from faculty mentorship, access to advanced computing environments, and opportunities to work on applied projects that integrate mechanics, materials, and environmental processes. The structure encourages interdisciplinary experimentation, allowing learners to combine computational techniques with real engineering challenges such as structural analysis, fluid mechanics, environmental modeling, and material simulation. This educational setting supports development of evidence-based, methodical, integrated, and forward-thinking perspectives that prepare students for research and engineering roles requiring strong computational expertise.
Key information
Key Facts
- Program Title: Civil and Environmental Engineering (Computational Mechanics and Scientific Computing)
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 06 January 2026
- Location: Duke University, United States
- Field of Study: Environmental Engineering
- Language of Instruction: English
Program Structure
• Semester 1 – Foundations in Computational Mechanics
- Numerical Methods for Engineers
- Fundamentals of Continuum Mechanics
- Scientific Computing and Algorithm Development
- Applied Mathematics for Engineering Systems
• Semester 2 – Advanced Simulation & Applied Research
- Finite Element Methods and Applications
- Computational Fluid and Solid Mechanics
- Data-Driven Modeling in Engineering
- Research Project / Simulation-Based Study
Career Opportunities
Graduates of this program can pursue roles in engineering consulting firms, computational research centers, technology companies, and environmental modeling organizations, where the ability to design and interpret simulations is essential. Many work as computational mechanics analysts, simulation engineers, structural modeling specialists, scientific computing developers, or data-oriented engineering researchers contributing to infrastructure design, environmental assessment, or material behavior evaluation. Others find opportunities in renewable energy systems, transportation modeling, or advanced manufacturing sectors where digital simulations guide decisions and improve system performance. With its strong technical focus on numerical analysis, algorithmic thinking, and high-level modeling, the program prepares graduates to contribute effectively to engineering projects that rely on accurate computational interpretation.
Why Choose This Program
Students choose this program for its integration of advanced numerical modeling, engineering mechanics, and faculty known for high-level computational expertise, all of which contribute to deep technical development. The curriculum provides access to modern simulation tools, interdisciplinary collaboration, and research-oriented coursework that allows learners to strengthen both theoretical understanding and applied capabilities. This structure supports independent academic growth while helping students build a strong computational foundation valuable for industry and research environments. With its emphasis on simulation accuracy, problem-solving rigor, and computational innovation, the program offers a powerful pathway for students aiming to excel in engineering roles shaped by digital analysis and scientific computing.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 (919) 684-8111
Email: admissions@duke.edu
Address: University of Duke, Durham, North Carolina, United States
