3.0

credits

Average Course Rating

A project-based course in which Masters students work in teams on projects proposed by partner companies. Projects come from different industry sectors, including healthcare, finance, energy, pharmaceuticals, manufacturing and tech, and may involve modeling, data analytics, machine learning, optimization, and other diverse applied mathematical and computational tools. Student teams will work under the supervision of the instructor and personnel from the partner companies. Prerequisites: Background in Linear Algebra, Statistics, Data Science, Optimization; experience in computing