哈佛大学MS in Biostatistics招生信息_申请条件_入学要求-申请方
哈佛大学MS in Biostatistics招生信息已经公布，包含申请条件、入学要求、英语语言成绩要求、申请费用、申请所需材料等信息，帮助大家查找留学项目申请信息。Department of Biostatistics, School of Public Health
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3Must have: completed calculus through multivariable integration and one semester of linear algebra, knowledge of a programming language; Encouraged to have: Completed courses in: probability, statistics, advanced calculus or real analysis, and numerical analysis Practical knowledge of a statistical computing package such as SAS, Splus, R, Stata, or SPSS Have completed courses in biology, computational biology, and genetics, if interested in bioinformatics Knowledge of a scripting language such as Python or Perl and some familiarity with relational databases, if interested in bioinformatics
Bachelor
| Examination Category | Total | Listening | Reading | Speaking | Writing |
|---|---|---|---|---|---|
| TOEFL | 100 | 23 | 23 | 23 | 23 |
Code:Institution code: 3456
The Test of English as a Foreign Language (TOEFL) is required for all applicants for whom English is not their first language and have not received any degrees from a university where English is the language of instruction. The Harvard Chan School requires a minimum of 600 on the paper-based test, 250 on the computer-based test, and 100 on the Internet-based 4-part test (we prefer individual section scores of 23 or better). Official scores from TOEFL may be reported to the School at code number 3456. If you have already started your SOPHAS application, please report your scores to code 5688.
The International English Language Testing System (IELTS) will also be accepted with a score of 7.0 or greater. Please have an official score report sent directly to the Harvard Chan School. If you have already started your SOPHAS application, please report your scores to code 5688.
Code:Institution code: 3456
Updated September 22, 2020: Standardized exams (GRE, MCAT, LSAT, GMAT, and DAT) are optional. Math proficiency is important and will be based on the following application components: grades, recommendation letters, and CV/resume.
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