We want to make sure that you are fully prepared to take on the program's challenging coursework. It's recommended that prospective students explore and become comfortable with the courses below in preparation for the MSBA curriculum.
Statistics and Probability
MSBA students are expected to have prior coding experience in some widely used programming languages (e.g., C/C++, Java). However, the predominant language that will be used throughout the coursework is Python.
DataCamp offers a free introduction tutorial (4 hours) with videos and exercises. A wide range of intermediate and advance tutorials are available for a small fee.
Students are expected to be comfortable with calculus and linear algebra at the level covered in the book Mathematics for Economists by Simon and Blume. An alternative reference is Mathematics for Economics by Hoy et al. (Parts I-IV).
MIT's OpenCourseWare provides open source courses on calculus and linear algebra for students that need a quick refresher. Check the following links: