ME students must satisfy the same 8 course requirements as SM students. In addition, they will spend the majority of their second year working on a substantial computational project that culminates in the submission and oral defense of a master’s thesis.
We are looking for candidates who have demonstrated a capacity for advanced computational work by excelling in courses in math, computer science, statistics or scientific computing; exploring computational or statistical approaches in undergraduate research; or through distinctive professional accomplishment.
There are no formal prerequisites for applicants to our master’s programs and students from any previous academic background are welcome to apply. However successful applicants do need to have sufficient background in Computer Science, Math, and Statistics - including fluency in at least one programming language and knowledge of calculus, linear algebra, and statistical inference.
Prerequisites we expect from applicants include knowledge of calculus, linear algebra and differential equations; familiarity with probability and statistical inference; fluency in at least one programming language such as python or R, and an understanding of basic computer science concepts.