The IDS graduate program will have broad appeal to students with undergraduate degrees in math, computer science, or statistics, but will also attract students with less traditional backgrounds, e.g., engineering, physics, etc.
In addition to meeting all of the University and College admission requirements for graduate study, each applicant for the MSIDS program must:
- have earned a Bachelor’s degree from an accredited institution
- have a GRE score of 146 Verbal and 155 Quantitative for GREs
GRE is currently waived for the Master's admission. - have a minimum of 3.0 GPA (B or better average) on the last 60 hours of undergraduate credits; and
- be in good standing at the institution of higher learning last attended
- provide three letters of recommendation discussing the student’s aptitude for graduate study
- provide a statement of intent describe why you wish to join the program
Required Background:
- Calculus 2 (MAC2312 or equivalent)
- College algebra
- Basic probability and statistics (STA 2023 or equivalent)
- Experience in one or more object-oriented programming languages such as C++, Python, Julia, and Matlab
Admission to some of the more advanced elective courses comprising the different majors may require additional prerequisites, which the students will either have to demonstrate in their backgrounds or take additional coursework.
Courses - M.S. in Data Science