Preparing for your MSBA experience


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.

Linear Algebra

Multivariable Calculus

Statistics and Probability





Python Resources


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.

Visit Datacamp offers tutorials supported by DataCamp in a user-friendly environment that allows testing inline code.



TutorialsPoint offers no-frills basic and advanced tutorials.

Visit TutorialsPoint

After Hours Programming

After Hours Programming offers a very basic introduction tutorial for those who want to start from square one.

Visit After Hours Programming

Execute Python Online

Execute Python Online is a web-based tool that allows users to test and execute code.

Visit Execute Python Online


Math Resources


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:

Calculus online textbook Multivariable calculus Linear algebra


Additional Resources


Cognitive Class

Online data science and cognitive computing courses with programming lab components offered for free by IBM.

Visit Cognitive Class