ScM Data-Enabled Computational Engineering and Science at Brown University

Programme overview

Interdisciplinary master's combining advanced mathematics, numerical methods, engineering sciences and data science, covering advanced simulation, computational modelling and machine learning. Thesis, non-thesis and professional (3-6 month internship) tracks are offered.

Faculty: Division of Master's and Professional Programs | Department: School of Engineering | Duration: 1-2 years, on campus; 8 courses (8 credits) | Intake: Fall and Spring | Study mode: full-time | Location: Providence, RI, United States

What you will study

At least two courses each in an engineering or natural science focus area, applied mathematics, and data science/high-performance computing, plus two flexible courses. Sample courses include Advanced Mechanics of Solids, Continuum Mechanics, Pattern Recognition and Machine Learning, Nonlinear Dynamical Systems, and Numerical Solution of Partial Differential Equations.

Career pathways

National laboratories, industry and research organisations, or continued PhD study.

Official programme page

Application information

Entry requirements

ScM DECES (programme-specific): bachelor's degree in engineering, physical or natural sciences or a related field, generally within the last 5 years; strongest preference for undergraduate GPA of at least 3.4. Subject GRE not required; General GRE recommended. Three letters of recommendation (two for fifth-year Brown undergraduates). English for non-native speakers unless exempt: TOEFL iBT 90 (tests on or before January 20, 2026), IELTS 7.0. Deadlines: Spring - international October 1, final November 1; Fall - priority February 1, international and final April 1; fifth-year May 1.

Master's and professional master's cohorts start in fall (September), with some programmes starting in summer (June-August); billing is by Summer, Fall and Spring terms.

Professional master's programmes charge a $200 one-time application fee.

Apply through the official page: https://graduateprograms.brown.edu/

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