Computational and Mathematical Engineering - Mathematical & Computational Finance Track, M.Sc.
Master
In Stanford (USA)
Description
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Type
Master
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Location
Stanford (USA)
The MCF track is designed to prepare students to assume positions in the financial industry as data and information scientists, quantitative strategists, risk managers, regulators, financial technologists, or to continue on to doctoral programs in related fields. Recommended background: strong foundation in mathematics with courses in linear algebra, numerical methods, probabilities, stochastics, real analysis/pde, programming, proficiency in C++, and interest in finance/internship or industry experience.
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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
- Computational
- Financial Training
- Engineering
- Industry
- Financial
- Finance
Course programme
Courses included:
- Numerical Linear Algebra
- Computation and Simulation in Finance
- Partial Differential Equations of Applied Mathematics
- Numerical Optimization
- Convex Optimization I
- Stochastic Methods in Engineering
- Introduction to Stochastic Differential Equations
- Debt Markets
- Financial Markets I
- Financial Markets II
- Dynamic Asset Pricing Theory
- Algorithmic Trading and Quantitative Strategies
- Quantitative Trading: Algorithms, Data, and Optimization
Computational and Mathematical Engineering - Mathematical & Computational Finance Track, M.Sc.