Ideal for aspiring computational scientists and engineers, especially those aiming for doctoral study or careers in high-end simulation, systems modeling, and data-centric R&D.
Enables collaborative work across disciplinary boundaries, leveraging MIT’s cross-departmental faculty and cutting-edge computing resources.
Designed for efficient completion (12–18 months full-time) with high academic standards and strong research support.
The CSE SM is an interdisciplinary, research-oriented master’s program in computational methods for designing and analyzing complex engineering and scientific systems.
It combines a core curriculum in numerical simulation, PDEs, and optimization, elective coursework in specialized computational areas, and culminates in a full master’s thesis.
Strong foundational skills in numerical methods, modeling, simulation, optimization, high-performance computing, uncertainty quantification, and machine learning.
Experience applying computation to real-world domains—such as aerospace, nanotech, telecommunications—through coursework and a supervised research thesis.
A deep technical portfolio, including master’s-level research, suitable for roles in advanced simulation, modeling, data-driven research, and engineering systems.
Tuition Fee:
65,000 USD
Duration:
1 Years
Country:
USA
Massachusetts, USA
#1 in QS World Rankings
Email:admissions@mit.edu
Phone:+1 617-253-1000
Address:77 Massachusetts Ave, Cambridge, MA 02139, United States of America