You do not need an undergraduate degree to enroll in this program. For our Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI Program, a background in college-level mathematics including differential calculus, linear algebra, and statistics will be necessary. If you do not have a background in these subjects, or would like to refresh your memory, please see below for suggested, free courses that may be helpful. Please note, these courses are not required and we encourage you to audit them for free. MATLAB experience is useful, but **not** a pre-requisite.

Two different types, of course, are available to provide this knowledge: courses offered on edX, and courses offered on MIT Open Courseware. The edX courses are live, with live discussion forums and TA’s to answer questions. They are instructor-led and occur during specific dates. The OpenCourseWare(OCW) courses are archived, so they are self-paced and available at any time but do not offer live support such as discussion forums or support from TAs.

For learners without a strong knowledge of calculus:

For learners without a strong knowledge of linear algebra:

- edX: Linear Algebra Unit 1
- edX: Linear Algebra Unit 2
- OCW: Linear Algebra (In-Depth)

For learners without a strong knowledge of statistics: