生物统计学哲学博士

GSAS welcomes applications for admission from individuals who have or will have by the time of matriculation a BA, BS, or equivalent undergraduate degree (for prospective international students, a three- or four-year undergraduate degree from an institution of recognized standing) and actively seeks applicants from groups historically underrepresented in graduate schools.
Applicants are required to upload transcript copies from each college/university they attended into our online application system: official hard copy/paper transcripts are not required at the time of application.

Post-secondary transcripts or mark sheets (World Education Services credential evaluation for applicants with degrees from outside of the United States.)
All candidates for admission to the PhD in biostatistics program must have a strong background in mathematics-with college-level coursework successfully completed through multivariable calculus and at least one semester of linear algebra-as well as knowledge of at least one computer programming language. We strongly encourage additional coursework in quantitative areas including probability, statistics, numerical analysis, and advanced calculus or real analysis, as well as in biology, computational biology, and genetics (if interested in bioinformatics). Experience using a statistical computing platform such as SAS, Splus, R, Stata, or SPSS is also encouraged. Knowledge of a scripting language such as Python or Perl and some familiarity with relational databases is recommended for those interested in bioinformatics.

Applicants who are non-native English speakers and who received their undergraduate degree from an academic institution where English is not the primary language of instruction must prove their English proficiency by earning either a minimum score of 80 on the Internet based test (iBT) of the Test of English as a Foreign Language (TOEFL) or a minimum score of 6.5 on the International English Language Testing System (IELTS) Academic test.