MSc (Sc.M.) in Data-Enabled Computational Engineering and Science in Providence United States | Brown University

Brown University's on-campus master's program in data-driven computational engineering and science provides the technical expertise and profound knowledge required for practical applications in national labs and industry settings.
To complete the degree, students must finish eight courses. For a well-rounded education, the curriculum requires at least two engineering courses, two applied mathematics courses, and two data science/high-performance computing courses. Students can choose their remaining two courses from engineering, applied mathematics, data science, or related fields to specialize in their area of interest.
This program equips graduates to thrive in PhD programs or cutting-edge careers involving advanced modeling and simulation in engineering and physical sciences. Whether you're a new graduate, advancing professional, or seasoned engineer, you'll gain mastery in high-fidelity simulations, data integration, and machine learning methods crucial for tackling real-world challenges.