PhD - Biostatistics and Data Science

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Admission Requirements for the PhD in Biostatistics and Data Science

Students matriculating into the PhD program in Biostatistics & Data Science must have documented training in calculus (covering multiple integration and differentiation) and linear algebra. Additional training in statistical or computer programming languages is preferred.

  • BA baccalaureate degree in a relevant scientific discipline, past academic performance in undergraduate and graduate (if applicable) degree programs (prefer a grade point average; 3.0 on a 4.0 scale)
  • Official scores on the Graduate Record Examination (GRE; prefer 300 on the combined verbal and quantitative sections). The applicant is allowed to petition the School of Population Health to submit GRE scores from more than 5 years ago if they have completed a master's degree in an appropriate field of study.
  • Three letters of recommendation Personal statement

Applicants may submit code exhibiting their knowledge in a statistical or computer programming language and/or slides presenting a completed data analysis project (these materials are optional but may strengthen the overall application).

International Students

Demonstrate proficiency in written and spoken English through the Test of English as a Foreign Language (TOEFL), International English Language Testing System (IELTS), or Pearson Test of English-Academic (PTE-A). This requirement may be waived for students who are currently enrolled at a college or university in the United States and/or who demonstrate a proficiency in written and spoken English following a personal interview.