Computational and Mathematical Engineering - Mathematical & Computational Finance Track, M.Sc.

Master

In Stanford (USA)

Price on request

Description

  • Type

    Master

  • 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.

Facilities

Location

Start date

Stanford (USA)
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Start date

On request

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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Reviews

This centre's achievements

2019

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 5 years

Subjects

  • Computational
  • Financial Training
  • Engineering
  • Industry
  • Financial
  • Finance

Course programme

Programme Structure

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.

Price on request