Admission to the MS in Analytics program is highly selective. We admit approximately 100 student each Fall. We are looking for exceptional students with a strong interest in data science and analytics and a high level of ability that has been demonstrated by past performance on appropriate coursework and/or by workplace experience as well as standardized testing. Overall, we're looking for people with outstanding analytics potential, regardless of background. The admissions committee evaluates each application holistically, considering all parts of your application, including, but not limited to, academic background (college/university, grades, courses, major, etc.), GRE or GMAT test scores, resume, experience, letters of recommendation, personal statement, etc.
All applicants must have a four-year bachelor's degree or equivalent and should have a basic background in mathematics and computing. This includes at least one college-level course or equivalent knowledge in each of the following:
Some Linear Algebra
A high-level programming language (e.g., C, C++, Java, Python, FORTRAN, etc.)
Applicants who do not have sufficient background in mathematics and computing may still be admitted, with the expectation that they either learn the necessary background material on their own before arriving, or take one or more preparatory courses such as MATH 1712, ISYE 6739, MATH 1553, and/or CS 1301 when they arrive on campus.