Mathematical and Computational Science (Honors)
The Bachelor of Science in Mathematical and Computational Science (Honors) at University of Stanford offers students an advanced, research-oriented program that integrates mathematics, computation, and scientific problem-solving. In the early years, students develop a strong foundation in calculus, linear algebra, discrete mathematics, probability, and introductory programming. These courses cultivate analytical thinking, computational skills, quantitative reasoning, and research proficiency, enabling students to approach complex problems with rigor and precision. Through lectures, problem-solving exercises, and collaborative projects, learners acquire the theoretical and practical tools needed for interdisciplinary computational analysis and modeling.
As students progress, the honors curriculum emphasizes advanced mathematical theory, scientific computing, numerical analysis, optimization, and algorithm design. Students engage in independent research, seminars, and capstone projects that promote critical thinking and interdisciplinary collaboration. This structure refines their research methodology, computational expertise, problem-solving skills, and technical competence, preparing graduates to tackle challenging problems in science, engineering, data analysis, and technology. By graduation, students possess the skills and intellectual foundation to pursue professional careers, technological innovation, or graduate study in applied mathematics, computational science, or engineering disciplines.
Key information
Key Facts
- Program Title: Mathematical and Computational Science (Honors)
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: Stanford University, United States
- Field of Study: Computational Mathematics
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Mathematical and Computational Sciences
• Calculus and Linear Algebra
• Introduction to Programming and Computational Thinking
• Discrete Mathematics and Probability
• Physics for Science and Engineering
• Writing and Research in Computational Sciences
Year 2 – Core Computational and Mathematical Studies
• Differential Equations and Mathematical Modeling
• Data Structures and Algorithms
• Numerical Methods and Scientific Computing
• Statistics and Probability for Engineering and Science
• Seminar: Computational Problem Solving
Year 3 – Advanced Analysis and Applications
• Optimization and Operations Research
• Advanced Algorithms and Complexity
• Scientific Computing and Simulations
• Applied Projects in Mathematics and Computation
• Electives in Computational Mathematics, Physics, or Engineering
Year 4 – Honors Research and Capstone
• Senior Thesis or Independent Research Project
• Advanced Seminar in Mathematical and Computational Science
• Computational Modeling and Data Analysis
• Interdisciplinary Applied Research Projects
• Specialized Electives in Computational Mathematics
Career Opportunities
Graduates of this honors program are prepared for careers in computational science, engineering, data science, software development, finance, and academia. The curriculum develops analytical reasoning, research proficiency, computational expertise, and problem-solving abilities, enabling students to pursue roles as computational engineers, data scientists, quantitative analysts, software developers, or research scientists. The honors component also strengthens preparation for graduate study in applied mathematics, computer science, engineering, or interdisciplinary research. With rigorous training and practical experience, graduates are equipped to design innovative solutions for complex computational and scientific challenges.
Why Choose This Program
This program is ideal for students who want an advanced, research-focused curriculum combining mathematics, computation, and applied problem-solving. Its structure emphasizes critical thinking, quantitative analysis, computational modeling, and research competence, providing students with both theoretical knowledge and hands-on experience. Through seminars, independent research, computational projects, and interdisciplinary collaboration, learners develop the expertise to tackle complex scientific and engineering challenges, analyze large datasets, and implement innovative solutions. Graduates leave with the skills, confidence, and professional readiness to excel in computational science, engineering, technology, or advanced graduate study, contributing meaningfully to scientific and technological innovation.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 650 000 0000
Email: admissions@standord.edu
Address: University of Standord, 450 Serra Mall, Stanford, CA 94305, United States
