Mathematical and Computational Science
Bachelor's degree
In Stanford (USA)
Description
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Type
Bachelor's degree
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Location
Stanford (USA)
The mission of the Mathematical and Computational Science Program is to provide students with a core of mathematics basic to all the mathematical sciences and an introduction to concepts and techniques of computation, optimal decision making, probabilistic modeling and statistical inference. The program is interdisciplinary in its focus, and students are required to complete course work in mathematics, computer science, statistics, and management science and engineering. A computational biology track is available for students interested in biomedical applications. The program prepares students for careers in academic, financial and government settings as well as for study in graduate or professional schools.
The program expects undergraduate majors to be able to demonstrate the following learning outcomes. These learning outcomes are used in evaluating students and the department's undergraduate program. Students are expected to be able to demonstrate:
understanding of principles and tools of statistics.
command of optimization and its applications and the ability to analyze and interpret problems from various disciplines.
an understanding of computer applications emphasizing modern software engineering principles.
an understanding of multivariate calculus, linear algebra, and algebraic and geometric proofs.
Facilities
Location
Start date
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About this course
English Language Requirements This programme may require students to demonstrate proficiency in English. Schedule a TOEFL® test Schedule an IELTS test
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Subjects
- GCSE Mathematics
- Computational
- Engineering
- Computational Science
- Algebra
- Calculus
- Mathematics
- Statistics
Course programme
Courses included:
- Calculus
- Linear Algebra and Differential Calculus of Several Variables
- Integral Calculus of Several Variables
- Ordinary Differential Equations with Linear Algebra
- Applied Matrix Theory
- Mathematical Foundations of Computing
- Programming Methodology
- Programming Abstractions
- Introduction to Scientific Computing
- Computer Organization and Systems
- Linear and Nonlinear Optimization
- Stochastic Modeling
- Introduction to Optimization
Mathematical and Computational Science