学历文凭
Masters Degree
专业院系
生物统计学
开学时间
课程时长
课程学费
国际学生入学条件
Prerequisites: Students entering the Master's degree program are assumed to have the necessary background, including:
two to three semesters of calculus
one semester of linear algebra
at least one semester of probability
Students who have not taken the probability course will be strongly urged to take this in the summer before matriculation.
Experience with numerical computing is recommended.
Application Requirements
Official transcripts for all undergraduate and graduate work (Applicants may also upload an unofficial transcript in the Documents section under Other)
Three letters of recommendation by persons well qualified to speak from first-hand knowledge about the applicant's potential for graduate study. In addition, we like to see letters of support from those who can attest to your interest in and aptitude for quantitative work related to biostatistics as well as those who have supervised you in a biostatistics-related job or internship.
Statement of Purpose and Objectives that describes your understanding of, and desire to pursue a career in, biostatistics or public health data science. Please discuss previous academic/professional activities that align with a career in biostatistics or public health data science.
Graduate Record Examination (GRE): General test is required.
Official GRE scores should be sent to SOPHAS using Brown SPH GRE reporting code 7765.
CV/Resume that highlights academic/professional experience relevant to biostatistics or public health data science. It should also include the statistical software languages with which the applicant is familiar.
All international applicants whose native language is not English must submit an official Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS) score. The minimum score for admission consideration is 577 on the paper-based test and 90 on the Internet-based test. For IELTS, the recommended minimum overall band score is 7.
IDP—雅思考试联合主办方
雅思考试总分
7.0
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- 雅思总分:7
- 托福网考总分:90
- 托福笔试总分:577
- 其他语言考试:NA
课程简介
Data related to health and life sciences has never been more challenging and complex. Biostatistical data scientists with rigorous methodologic training, experience in modern computing and collaboration, and involvement in domain research are in high demand in the health sector and beyond. Students in the Biostatistics Master's Health Data Science track will receive in-depth training in biostatistical theory and methods, augmented by specialized training in modern data science techniques. Data science by its very nature is interdisciplinary. It cannot be accomplished without mathematics, computer science, statistics and knowledge of the application field. The Health Data Science track in the Biostatistics Master's Graduate Program will give students in-depth skills in the key areas of data science where statistics lie. In addition, students will acquire familiarity with all other aspects of data science. This Health Data Science track will provide training in: Modeling, Statistical Learning, and High Dimensional Data, Fundamental Data Science Concepts and Approaches, Statistical Computing, Communication, Collaboration, Familiarity with Full Process of Data Science.
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学校排名
世界排名
53
数据源:泰晤士高等教育世界大学排名
关于布朗大学
布朗大学是最为开放的顶尖大学之一美国排名前三十的大学中,多数很难在学术上分出明显的高低。而布朗之所以能一直成为全世界学生最向往的大学之一,其开放式的教学模式功不可没。布朗的Open Curriculum允许学生像其他大学的学生一样选择自己的专业,但同时自己选择理想的课程搭配。布朗本科78个专业方向中大部分是跨学科的,学生可从多达2000门课程中挑选自己喜欢的课程来DIY自己的大学之旅。与其他常青藤学校相比,布朗气氛和谐,学生们并不为竞争而烦恼,大多数学生都是很能平衡学习和娱乐生活,并善于社交的。校园里更多的是相互尊重,向对方学习。“唯一能感受到的竞争,就是不断挑战自己做的更好。”
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