数据科学理学硕士

A minimum 3.00 grade point average (GPA) in a completed undergraduate degree program
A bachelor's degree that is appropriate for the selected specialization, from a regionally accredited institution.
Computational Data Analytics students are required to have a bachelor's degree in computer science, computer engineering, information technology, mathematics, statistics, or a related discipline. Students seeking to specialize in other tracks are required to have the appropriate academic background.
Business Analytics students are required to have a highly quantitative undergraduate business degree, including Accounting, Finance or Information Systems. The program also encourages applicants with degrees in Computer Science, Industrial Engineering, Mathematics, and Statistics. Applicants with several years work experience in a quantitative role would also be competitive absent a relevant undergraduate degree and coursework completed.
Biostatistics Data Analytics students are required to have the appropriate background as judged by the track's Admissions Committee.
‘B' average or better in all coursework attempted while registered as an upper-division student in the bachelor's program (3.0 on a 4.0 scale). Applicants should have achieved undergraduate grades of B (at a minimum) in all undergraduate mathematics, statistics, and quantitative methods coursework.
For applicants whose native language is not English, English proficiency exam scores of at least 550 (paper-based) or 80 (internet-based) on the TOEFL or 6.5 on the IELTS. English proficiency exam exemptions are based on the country in which the applicant completed their undergraduate degree, not on nationality. See the list of TOEFL exempt countries here: http://gradschool.fiu.edu/toefl-exempt-countries/.
GRE scores with a minimum quantitative score of 148. The GRE requirement will not be waived.