数据科学理学硕士

An undergraduate degree in Computer Science from an accredited university with a GPA greater than or equal to 3.25 (out of 4).
Language Proficiency in : (C/C++, Java) or (Python - Perl) and a Unix/Linux Shell. Courses in an accredited university with an equivalent grade of B or better in Multivariate Calculus, Discrete Math, Linear Algebra, Statistics, Probability. Students with undergraduate degrees in Statistics, Mathematics, Physics, Engineering and other Sciences with a GPA above 3.5 (out of 4) , may be considered for temporal admission and will be placed in undergraduate bridge classes on Data Structures and Algorithms, Data Bases, Operating Systems and Computer Architecture. After successful completion of these remedial classes (with a grade of B or better) they will be granted full admission into the MSDS Program.

The Graduate School generally expects successful applicants to have verbal and quantitative Graduate Record Exam scores of at least 500/153 and 600/148, respectively (score scale for tests taken before/after August 1, 2011). Successful applicants to the MSDS program are likely to have quantitative scores considerably higher than 600/148. For students submitting GMAT scores, the typical requirements are a verbal score of at least 29 and a quantitative score of at least 41. However, there is often some flexibility for the verbal score for both GRE and GMAT.

The minimum paper-based TOEFL score is 550. The minimum computer-based TOEFL score is 213
The minimum IBT-internet based TOEFL is Writing 22, Speaking 23, Reading 21, Listening 17.( Totel iBT) - 83
An acceptable IELTS score is bandwidth 7.