Master’s in Data Science for MIT MicroMaster's Graduates
Course Descriptions and Schedule
Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
MSDS 400-DL : Math for Modelers
Description
Students learn how to build and interpret mathematical models of
real-world phenomena in many areas. The course covers linear
algebra, discrete mathematics, calculus and graph theory, with an
emphasis on applications in data science and data engineering. It
provides an introduction to these fields of mathematics prior to
enrolling in courses that assume understanding of mathematical
concepts.
As of fall 2023, course reverts back to original title, "Math
for Modelers."