国际学生入学条件
Applicants may have training in any discipline including but not limited to mathematics, public health, the biological or physical sciences, computer science, engineering, psychology, sociology, business, statistics or biostatistics. Previous coursework or standardized test results should demonstrate strong quantitative skills.
Students are expected to have epidemiological and biostatistical knowledge at the Master of Public Health (MPH) level, as for instance taught in our EPID 7010 and BIOS 7010 courses.
One unofficial transcript from each institution of higher education attended, except the University of Georgia. University of Georgia transcripts are on file. Official transcripts are not required during the review process and will only be required for applicants who are offered admission. Do not mail official transcripts until offered admission.
[OPTIONAL] Official GRE general test score report sent by testing agency. The UGA institutional code for ETS reporting is 5813. No departmental code is required.
A resume/CV.
A personal statement. In this statement, please address the following topics.
Tell us the area of emphasis/concentration that you want to apply to. Also provide some details on the topics and areas of research that interest you most, and specific faculty you might be interested in working with. We understand that this can change should you end up joining our program, but it will be useful for us to know what topics, and with which faculty, you want to work with. If you already have specific ideas for research projects, please describe them. A strong research plan will certainly strengthen your application.
In your own words, let us know why you would be a great candidate for our program, highlight what you have done to prepare for success in our program, and why you want to pursue a degree in our program in the chosen area of emphasis. Anything that makes you stand out as a candidate, please highlight.
Explain if you will require financial support (stipend/assistantship) or not. If not, please describe how you will support yourself financially for the duration of the Ph.D. program. This information is important since we often have limited funded positions available and if a strong candidate has independent, reliable funding, this will be important information for us to consider.
Also use this document to explain anything in your CV that could use some explanation. For instance, if you took a year off to care for a relative, explain that. Or if you had a semester of difficulties during your undergraduate degree in which your grades suffered, describe this. Anything you think could use some additional details and explanation, please provide it in this statement.
Three letters of recommendation. List the names of recommenders in the fields on page three of the online application along with their e-mail addresses. They will receive a link to access a secure page where they can submit your recommendation quickly and easily via the Web.
Minimum TOEFL score requirement: overall score of 80 with at least 20 on speaking and writing
Minimum IELTS score requirement: overall band-width of 6.5, with no single band (score) below 6.0
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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:550
- 其他语言考试:Minimum Duolingo score requirement: overall score of 105
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申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
博士 生物统计学专业培训个人,以开发和应用创新的生物统计学方法,从而提高公共卫生和生物医学研究与实践的质量。博士学位的主要目标 生物统计学计划旨在为学生提供基础,以开发用于公共卫生和生物医学的新型创新生物统计学方法。完成课程的学生将接受核心生物统计学方法,实验设计和公共卫生调查,生物统计学研究,统计计算,生物统计学咨询,概率和数学统计学的最新发展方面的培训。生物统计学学院在生物信息学,生物标记数据,数据挖掘,因果模型,分类器开发和验证,协变量测量误差模型,生态瞬时评估,环境统计,实验设计,高维数据分析,纵
The Ph.D. Program in Biostatistics trains individuals to develop and apply new and innovative biostatistical methods and thus improve the quality of public health and biomedical research and practice. The primary objective of the Ph.D. program in biostatistics is to provide students with the foundations to develop new and innovative biostatistical methods for applications in public health and biomedicine. Student completing the program are trained in core biostatistical methods, design of experiments and public health surveys, recent developments in biostatistical research, statistical computing, biostatistical consulting, probability, and mathematical statistics. The Faculty of Biostatistics have expertise in bioinformatics, biomarker data, data mining, causal modeling, classifier development and validation, covariate measurement error models, ecological momentary assessment, environmental statistics, experimental design, high dimensional data analysis, longitudinal data analysis, machine learning, medical diagnostic testing, missing data problems in clinical trials, nonparametric methods, recurrent events analysis, ROC curves, semiparametric regression, spatial epidemiology, spatial statistics, statistical genetics and survival analysis.
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