About the Program
Graduate students gain sophisticated technical skills and a comprehensive understanding of data-enabled computational engineering used in national laboratories and industries.
The School of Engineering at Brown is a world leader in several disciplines relevant to the Master of Science in Data-Enabled Computational Engineering and Science (DECES) program, including solid mechanics, materials science, and fluid and thermal systems. Brown has one of the highest-ranked Applied Mathematics (APMA) programs in the nation. Many of our stellar faculty in Engineering and Applied Mathematics are working on developing state-of-the-art numerical methods and machine learning approaches, with applications that are of particular relevance to the DECES ScM program. As such, Brown is uniquely positioned to offer the DECES ScM Program.
The DECES ScM program was designed for students interested in pursuing careers that involve advanced modeling and simulation in engineering and physical sciences. It may also be of interest to working professionals whose success on the job depends on their ability to competently perform high-fidelity engineering simulations with data assimilation and machine learning expertise.
Upon completion of the program coursework the students will:
- Gain the understanding of a significant role that advanced simulation plays in industry and national laboratories
- Develop an appreciation for the power of high-fidelity modeling and simulation in contemporary engineering design
- Gain technical knowledge of the foundational subjects in computational engineering, including nonlinear finite element analysis and the integration of physics-based modeling and data science
- Develop the necessary technical skills combined with machine learning expertise to knowledgeably carry out practical engineering-scale simulations
Students will take a total of eight courses to satisfy the degree requirements. To ensure breadth, students are expected to take at least two courses in an engineering or natural science focus area of choice (e.g., mechanics of solids, materials science, etc.), at least two courses in applied mathematics, and at least two courses in data science/high performance computing. This leaves two more courses to be taken to satisfy the program requirements and, to ensure depth, these may be taken in engineering, applied mathematics, data science, or other relevant disciplines.
Students are able to customize their curriculum and can choose between 3 tracks:
- Master of Science (Thesis Option)
- Master of Science (Non–Thesis Option)
- Master of Science (Professional Option)