MSDS Admission Requirements
Students can be admitted in either classified or conditionally classified standing. GRE is optional for the MS in Data Science program. It is not a requirement. However, if you do submit the scores, they will be used to compare and rank the applicants.
To enter this program with classified standing, a student must have passed the following prerequisites courses (with a C- or better OR the listed required grade below):
- Three semesters college-level calculus courses - differential calculus (e.g., MATH 30 at 皇冠体育博彩), integral calculus (e.g., MATH 31 at 皇冠体育博彩), and a multivariable caluculus course (e.g., MATH 32 at 皇冠体育博彩), with a grade of B or better on the multivariable calculus course.
- A linear algebra course (e.g., MATH 39 at 皇冠体育博彩), with a grade of B or better.
- A discrete math course (e.g., MATH 42 or CS 42 at 皇冠体育博彩).
- An upper-division calculus-based statistics course (e.g., MATH 161A at 皇冠体育博彩), with a grade of B or better.
- A probability theory course (e.g., MATH 163 at 皇冠体育博彩), with a grade of C or better.
- Two CS introductory courses on programming and data structures (e.g., CS 46A and CS 46B at 皇冠体育博彩).
- An upper division data structures and algorithms course (e.g., CS 146 at 皇冠体育博彩), with a grade of B or better.
- An advanced course in object-oriented programming (e.g., CS 151 or CMPE 135 at 皇冠体育博彩) or two semesters of statistical programming coursework, (e.g., MATH 167R and MATH 167PS at 皇冠体育博彩).
Applicants from countries in which the native language is not English must submit TOEFL scores. Minimum TOEFL scores acceptable for admission are 575 (Paper-based), 240 (Computer-based), or 100 (Internet-based).
