生物统计学理学硕士(80学分)
Master of Science in Biostatistics- Health Data Science

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
Applications from students in applied fields such as biology, biochemistry, economics, and computer science are strongly encouraged, with the understanding that necessary mathematical coursework may have to be completed before enrollment in the program.
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.
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
了解更多
- 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
CRICOS代码:
申请截止日期:请 与IDP联系 以获取详细信息。
课程简介
生物统计学理学硕士课程将训练学生以下方面的统计理论,规划研究,进行分析和撰写报告的统计学,生物统计学和生物信息学方法,解释医学和公共卫生研究中用于科学推理的数值数据以及能力与相关学科的科学家进行有效合作和沟通。应用领域包括观察研究,临床试验,计算生物学和定量基因组学,统计遗传学以及医学和公共卫生研究等。提供统计学理论方面的培训以及在医学和公共卫生中应用的各种统计和计算方法。该课程适合完成后考虑博士学位或硕士水平的医学研究职位的学生。
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.
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.
相关申请

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在校学习

跨境学习

校园授课-线上开始

在线/远程学习
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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