Computational and Applied Mathematics
The Master of Science in Computational and Applied Mathematics is a one year full time program designed to provide students with advanced knowledge in mathematical modeling, numerical analysis, and computational methods. The curriculum emphasizes applied mathematics, algorithm development, data modeling, and scientific computing, equipping students with the skills to solve complex quantitative problems in science, engineering, and technology. Students engage in applied projects, computational experiments, and research assignments, gaining experience in developing models, analyzing data, and implementing mathematical solutions for real-world challenges. The program prepares graduates to bridge theoretical mathematics with practical applications across a variety of fields.
Throughout the program, students work closely with faculty on research, computational modeling, and applied problem solving, developing expertise in numerical simulations, optimization techniques, stochastic modeling, and data analysis. The one year structure provides a focused and intensive pathway, allowing learners to progress from foundational principles to advanced computational applications. Graduates gain the analytical, technical, and problem solving skills necessary to conduct research, contribute to interdisciplinary projects, and develop innovative solutions in applied mathematics, engineering, and scientific computing.
Key information
Key Facts
- Program Title: Computational and Applied Mathematics
- 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: Applied Mathematics
- Language of Instruction: English
Program Structure
Semester 1: Foundations in Computational and Applied Mathematics
• Advanced Linear Algebra
• Differential Equations and Dynamical Systems
• Probability Theory and Stochastic Models
• Computational Methods in Applied Mathematics
Semester 2: Applied Mathematical Methods and Research
• Numerical Analysis and Scientific Computing
• Optimization and Modeling Techniques
• Applied Projects in Computational Mathematics
• Applied Research Project / Thesis
Career Opportunities
Graduates of this program are prepared for careers requiring expertise in mathematical modeling, numerical computation, data analysis, and applied problem solving. Potential positions include Computational Scientist, Data Analyst, Quantitative Researcher, Operations Research Analyst, and Research Associate in technology companies, finance, engineering firms, and research institutions. The program equips students to develop mathematical models, perform computational simulations, analyze complex datasets, and implement practical solutions for interdisciplinary challenges. Graduates are also well positioned to pursue doctoral studies or advanced research roles in applied mathematics and computational science.
Why Choose This Program
This program is ideal for students seeking an intensive, application oriented education in computational methods, mathematical modeling, optimization techniques, and applied research. Its one year, on campus format provides hands-on experience with computational software, applied projects, and research mentorship, allowing students to integrate theoretical knowledge with practical applications. The curriculum emphasizes bridging mathematical theory with real-world problems, preparing graduates to conduct research, develop innovative solutions, and contribute to interdisciplinary projects. Students gain expertise in numerical simulations, data-driven modeling, and applied mathematics applications, equipping them for successful careers in research, industry, and technology development.
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
