斯坦福大学商业分析专业，可以用托福替代雅思吗？

"转自官方网站：A strong mathematics background, especially in probability, statistics and linear algebra, is important in the admission process. However, it is not the only factor that determines which applicants are admitted. If such is the case, it is strongly suggested that prospective applicants consider strengthening their math skills and apply later.
For the Data Science program, fundamental courses in mathematics and computing may be needed as prerequisites for other courses in the program.
 Recommended preparatory courses include advanced undergraduate level courses in linear algebra and probability, and introductory courses in PDEs, stochastic, numerical methods and proficiency in programming (Basic usage of the Python and C/C++ programming languages).
注：不接受GMAT代替GRE，不接受IELTS代替TOEFL
工作经验：最好有但不强制
专业背景：较强的数学和计算机背景"