Computational Science and Engineering
The Master of Science in Computational Science and Engineering is a one year full time program designed to provide students with advanced expertise in computational modeling, numerical methods, and data-driven analysis applied to engineering and scientific problems. The curriculum emphasizes scientific computing, simulation techniques, data analytics, and algorithm development, equipping students with both theoretical foundations and practical skills to address complex computational challenges. Students engage in applied projects, laboratory simulations, and research initiatives, gaining experience in modeling real-world systems, analyzing large datasets, and developing efficient computational solutions. This program prepares graduates to contribute to innovation in engineering, research, and technology development.
Throughout the program, students collaborate with faculty on research projects, simulations, and applied problem solving, developing expertise in high performance computing, computational modeling, numerical analysis, and engineering applications. The one year structure provides a focused and intensive learning pathway, allowing students to quickly gain proficiency in computational techniques and their applications across multiple disciplines. Graduates emerge ready to implement computational solutions, conduct rigorous analysis, and advance research or industry projects requiring high level technical skills.
Key information
Key Facts
- Program Title: Computational Science and Engineering
- Degree Type: S. Master
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 28 February 2026
- Location: Rice University, United States
- Field of Study: General Engineering & Technology
- Language of Instruction: English
Program Structure
Semester 1: Foundations in Computational Science and Engineering
• Numerical Methods and Algorithms
• Scientific Computing and Simulation
• Data Analysis and Visualization
• Computational Modeling of Physical Systems
Semester 2: Applied Computational Methods and Research
• High Performance Computing
• Applied Simulation Projects
• Computational Techniques in Engineering Applications
• Applied Research Project / Thesis
Career Opportunities
Graduates of this program are prepared for careers requiring expertise in computational modeling, data analysis, numerical methods, and simulation engineering. Potential roles include Computational Scientist, Data Analyst, Simulation Engineer, Research Associate, and High Performance Computing Specialist in technology companies, research institutions, engineering firms, and governmental agencies. The program equips students to design and implement computational solutions, analyze complex datasets, optimize engineering processes, and contribute to research and development projects. Graduates are also well positioned to pursue doctoral research or advanced technical roles in computational science and engineering.
Why Choose This Program
This program is ideal for students seeking an intensive, applied education focused on computational modeling, numerical methods, high performance computing, and applied research. Its one year, on campus format provides hands-on experience with simulation tools, computational software, and applied projects, allowing students to integrate theoretical knowledge with practical applications. The curriculum emphasizes solving real-world engineering and scientific problems using computational approaches, preparing graduates to develop innovative solutions, conduct rigorous analysis, and advance research initiatives. Students gain extensive experience in applied computational techniques, interdisciplinary problem solving, and research collaboration, equipping them for leadership and technical roles in computational science, engineering, and related fields.
Contact Information
For further information, please contact the admissions office at:
Phone: 713-348-7423
Email: admission@rice.edu
Address: Office of Admission – MS 17, 109 Lovett Hall, 6100 Main Street, Houston, TX 77005, United States
