国际学生入学条件
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.
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.
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雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:80
- 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
由艺术与科学学院授予的哈佛大学卫生政策博士学位,是哈佛大学六个学院之间的合作计划:艺术与科学研究生院,哈佛商学院,哈佛肯尼迪学院,哈佛法学院,哈佛医学院和哈佛大学陈陈公共卫生学院。尽管该计划本质上是跨学科的,但学生专注于六个集中领域之一:决策科学,经济学,伦理学,管理,政策研究方法或政治分析。该大学的学校中大约有110名教职员工参与了该计划,学生可以自由地在整个大学上课。该计划的标志是教师对学生的可及性以及教师对参与该计划的学生的承诺。该计划始于1992年,目前有200名毕业生和63名学生报名参加。<br
Decision sciences are the collection of quantitative techniques that are used for decision-making at the individual and collective level. They include decision analysis, risk analysis, cost-benefit and cost-effectiveness analysis, decision modeling, and behavioral decision theory, as well as parts of operations research, microeconomics, statistical inference, management control, cognitive and social psychology, and computer science. The concentration in decision sciences prepares students for research careers that involve the application of these methods to health problems. Examples of research topics in health decision sciences include: cost-effectiveness analysis of medical technologies and pharmaceuticals, optimal screening policies for cancer and other chronic diseases, measurement and evaluation of health outcomes, including quality of life, policy simulation modeling of diseases such as AIDS, tuberculosis, cancer, and asthma and optimal resource allocation for biomedical research.
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