Admission to the MS in Analytics is highly selective. We are looking for exceptional students with a strong interest in 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. All applicants are expected to have basic background in mathematics (at least one college-level course or equivalent knowledge in calculus, probability/statistics, and some linear algebra) and computing (at least one college-level course or equivalent knowledge in computer programming using a high-level language like C, C++, Java, Python, FORTRAN, etc.), as well as a four-year bachelor's degree or equivalent. Applicants must submit either GRE or GMAT scores, a professional resume, a personal statement, and contact information for three people who will submit letters of recommendation. TOEFL scores (minimum score of 100) or IELTS scores (minimum score of 7.5) are also required for international applicants.
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.