Professional Master of Science in Data Science and Applied Statistics - Computational Biology

The interdisciplinary Professional Master's Program in Data Science and Applied Statistics is designed to target working professionals with strong technical backgrounds who seek to add advanced statistical and data science theory and tools to their arsenal. The interdisciplinary nature of the degree makes it accessible and attractive to prospective students in virtually any industry. The program bridges academics and industry closely, from the curriculum to experiential training to job placement. The core curriculum for the degree has two 3-course sequences, balancing between the foundational theory of data science and industry application tools. The degree requires three additional courses from an area of emphasis - Earth Science or Computational Biology - and completion of a capstone experience. For those whose educational goals are more targeted, completion of any three-course sequences will result in a granting of a graduate certificate.

Applicants are expected to have the following:
Earned bachelor's degree
Two semesters of calculus
One semester of linear algebra
One semester of a programming language, e.g., python (preferred), R, Matlab, or C
Minimum GPA 3.0, this is the absolute minimum as required by the Graduate College. A typical accepted student will have a 3.2 minimum GPA.
Statement of Purpose
GRE Scores (not required), you will need to attach a copy of the GRE score sheet to your application.

Standardized Tests
There are no required standardized tests.

International English Language Testing System (IELTS) - minimum composite score of 7, with no subject area below a 6
Test of English as a Foreign Language (TOEFL) - minimum score of 79 iBT (or 60 on the revised PBT with no section score lower than 15). Individual MyBest scores must also be dated within 2 years of the enrollment term to be considered valid.