Computational Physics
The Bachelor of Science in Computational Physics at Rice University provides students with a rigorous and interdisciplinary education in physics, mathematics, and computational modeling. This four-year, full-time program emphasizes the use of computational methods to solve complex physical problems across a variety of scales, from quantum systems to astrophysical phenomena. Students develop proficiency in numerical analysis, simulation, data modeling, and algorithmic problem-solving, gaining the technical and analytical skills necessary to investigate challenging questions in theoretical and applied physics.
Throughout the curriculum, students engage in hands-on computational projects, laboratory experiments, and collaborative research, integrating theoretical understanding with practical application. The program encourages interdisciplinary exploration, allowing students to connect physics with computer science, engineering, and applied mathematics, enhancing their problem-solving capabilities. With faculty mentorship and access to high-performance computing resources, students acquire the expertise to design, implement, and interpret computational models, preparing them for careers in research, technology, and scientific innovation. Graduates leave the program equipped to analyze complex physical systems and develop computational solutions for real-world challenges.
Key information
Key Facts
- Program Title: Computational Physics
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 04 January 2026
- Location: Rice University, United States
- Field of Study: Physics
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Physics and Mathematics
- General Physics I & II with Labs
- Calculus I & II
- Introduction to Programming
- Academic Writing and Critical Thinking
Year 2 – Core Computational and Physical Concepts
- Classical Mechanics
- Electromagnetism
- Differential Equations and Linear Algebra
- Computational Methods in Physics
Year 3 – Advanced Simulation and Modeling
- Quantum Mechanics
- Statistical Mechanics and Thermodynamics
- Numerical Modeling and Simulation
- Elective: Astrophysics, Materials Science, or Biophysics
Year 4 – Capstone and Research Applications
- Senior Seminar in Computational Physics
- Independent Research Project or Honors Thesis
- Advanced Topics: High-Performance Computing or Machine Learning in Physics
- Elective: Computational Fluid Dynamics or Quantum Computing
Career Opportunities
Graduates of the Computational Physics BS program at Rice University are prepared for careers in scientific research, computational modeling, software development, data analysis, and engineering. Many pursue advanced degrees in physics, applied mathematics, computational science, or engineering, preparing for leadership roles in academic, industrial, or governmental research. Alumni work as computational physicists, simulation engineers, data scientists, or technical consultants, applying their expertise to solve complex scientific and technological problems. The program equips graduates with the ability to analyze data, develop computational models, and contribute to innovation across a variety of high-tech and research-driven industries.
Why Choose This Program
Rice University’s Computational Physics program offers a rigorous, interdisciplinary, and research-focused education that integrates physics, mathematics, and computational techniques. Students benefit from faculty mentorship, access to high-performance computing resources, and opportunities for independent or collaborative research projects. The curriculum emphasizes theoretical understanding, practical application, and computational problem-solving, preparing students for careers in scientific research, technology, and advanced study. With hands-on laboratory experience and exposure to real-world computational challenges, students develop analytical, technical, and problem-solving skills that enable them to tackle complex scientific questions and contribute meaningfully to innovation in physics 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
