Overview
The Computational and Mathematical Engineering programme at Stanford University offers a sophisticated curriculum designed for students seeking to master technical analysis. This academic pathway integrates high-level mathematical theory with practical engineering applications to address modern industrial and scientific challenges.
Why Computational and Mathematical Engineering?
As a premier global institution, the university provides an environment where students can explore the boundaries of computational science. The department emphasises a multidisciplinary approach, ensuring that graduates are equipped with the versatile skills required to excel in diverse research and professional settings.
The curriculum is structured to provide deep insights into general engineering and technology while maintaining a strong focus on computational mathematics.
Tuition Fee Breakdown
- International fee: USD 22562 per semester
- National fee: USD 22562 per semester
- Local fee: USD 14100 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
Modules may include:
- Mathematical modeling
- Scientific computing
- Numerical methods
- Optimization
- Probability and stochastic processes
- Computational algorithms
- Data science and machine learning
- High-performance computing
- Partial differential equations
- Interdisciplinary applications in engineering and science
Careers with Computational and Mathematical Engineering
Graduates from this programme are prepared for careers in data science, software engineering, quantitative finance, and advanced engineering fields. The interdisciplinary training in mathematical modeling and computational methods enables graduates to work across industries such as technology, finance, research, and scientific innovation, as well as pursue doctoral studies or roles in academia.
Programme Structure
Courses included:
- Explorations in Calculus
- Vector Calculus for Engineers
- Vector Calculus for Engineers
- Ordinary Differential Equations for Engineers
- Ordinary Differential Equations for Engineers, ACE
- Matrix Methods
- Linear Algebra and Partial Differential Equations for Engineers
- Linear Algebra and Partial Differential Equations for Engineers, ACE.
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Credits
Delivered
Campus Location
- Stanford, United States
Disciplines
General Engineering & Technology Computational Mathematics View 37 other Masters in Computational Mathematics in United StatesWhat students do after studying
Academic requirements
English requirements
Other requirements
General requirements
To be eligible for admission to graduate programs at Stanford, applicants must meet one of the following conditions:
Applicants must hold, or expect to hold before enrollment at Stanford, a bachelor’s degree from a U.S. college or university accredited by a regional accrediting association.
- Applicants from institutions outside the U.S. must hold the equivalent of a U.S. bachelor’s degree from a college or university of recognized standing.
- See minimum level of study required of International applicants.
Tuition Fees
-
International Applies to you
Applies to youNon-residents45124 USD / year≈ 45124 USD / year - Out-of-State45124 USD / year≈ 45124 USD / year
-
Domestic
Applies to youIn-State45124 USD / year≈ 45124 USD / year
Additional Details
per quarter
Living costs
Stanford
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Computational and Mathematical Engineering.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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