MS in Computational and Mathematical Engineering offered by Stanford University
- Private University
8180 acre campus- Estd. 1885
MS in Computational and Mathematical Engineering at Stanford University Overview
Duration | 24 months |
Start from | Start Now |
Total fee | ₹1.46 Crores |
Mode of learning | Online |
Official Website | Go to Website  |
Course Level | PG Degree |
MS in Computational and Mathematical Engineering at Stanford University Highlights
- Earn a degree after completion of the course
- Financial aid facility available
MS in Computational and Mathematical Engineering at Stanford University Course details
- Recent graduates with bachelor's degrees in engineering, mathematics, computer science, physics, or related fields who want to deepen their knowledge and expertise in computational and mathematical engineering and pursue specialized career paths or further education at the doctoral level
- Working professionals in industries such as technology, finance, healthcare, and research institutions seeking to enhance their qualifications, expand their technical expertise, or transition into roles that require advanced computational and mathematical skills
- Numerical Methods
- Linear Algebra
- Probability and Statistics
- Mathematical Modeling
- Advanced Calculus
- Partial Differential Equations
- Optimization Theory
- This course focuses on the development and application of computational and mathematical techniques to solve complex engineering problems across various domains, including but not limited to, computer science, engineering, finance, and the sciences
- This course provides a rigorous and interdisciplinary education that prepares graduates to excel in a wide range of industries and research areas where computational and mathematical skills are in high demand for solving complex engineering problems and driving innovation
MS in Computational and Mathematical Engineering at Stanford University Curriculum
How to learn Mathematics - New ideas from the science of learning
Vector Calculus for Engineers
Vector Calculus for Engineers, ACE
Ordinary Differential Equations for Engineers
Ordinary Differential Equations for Engineers, ACE
Linear Algebra and Partial Differential Equations for Engineers
Introduction to Probability and Statistics for Engineers
Introduction to Probability and Statistics for Engineers
Introduction to Machine Learning
Introduction to Scientific Computing
Mathematical Population Biology
Introduction to MATLAB
Introduction to Scientific Python
Human-Centered Design Methods in Data Science
Linear Algebra with Application to Engineering Computations
Partial Differential Equations in Engineering
Introduction to Numerical Methods for Engineering
Mathematical Modeling of Biological Systems
MS in Computational and Mathematical Engineering at Stanford University Entry Requirements
- Education: Bachelor's degree
- Not mentioned
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