国际学生入学条件
GRE and/or TOEFL scores must be sent to institution code 3987. The Graduate School requires the General GRE tests (no GMAT scores are accepted). MCAT scores are accepted ONLY for the MS programs in Chronic Disease Epidemiology, Health Informatics and Epidemiology of Infectious Diseases. TOEFL scores are required for all applicants whose native language is not English. This requirement is waived only for applicants who will have received a baccalaureate degree, or its foreign equivalent, prior to matriculation at Yale, from a university or college where English is the primary language of instruction.
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IDP—雅思考试联合主办方

雅思考试总分
6.0
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雅思考试指南
- 雅思总分:6
- 托福网考总分:60
- 托福笔试总分:160
- 其他语言考试:NA
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
生物统计学的博士生接受了统计建模,推理和计算方面的高级培训,以应对现代生物医学的挑战。与公共卫生,医学,基因组学,进化科学和许多其他学科的经验研究人员直接接触,使学生受益。广泛的课程选择和跨学科合作的机会使学生能够建立适合其兴趣的培训和研究计划。该计划的毕业生继续在主要研究型大学,政府机构,生物技术/制药公司和技术行业任职。<br> <br> <br>博士学位课程的申请者应具有生物学的基本背景并应具有良好的数学记录,包括高级微积分课程,线性代数课程和概率课程。强烈建议有意申请博士学位的申请人与他们可能有兴
Biostatistics involves the development and application of sound statistical and mathematical principles to research in the health sciences. Because original theoretical research in biostatistics flows from medical research, the foundations of methodological development must be firmly grounded in sound principles of statistical inference and a thorough knowledge of the substantive area that provides the source of the medical questions being addressed. Thus, the Department of Biostatistics encourages excellent methodological work that is motivated by sound science that includes but is not limited to active collaborations with other investigators. Research collaborations for biostatisticians take place both within and across departments in the School of Public Health, as well as with other departments in the School of Medicine and the University at large. Areas of current research include the development of general methods that have wide applicability across different areas of health research, as well as more specific techniques for dealing with the underlying processes that give rise to the data of interest. A broad range of health topics addressed by students in this department includes chronic diseases such as cancer, genetic epidemiology, clinical research, and mathematical models for infectious diseases.
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