统计学哲学博士-生物信息学和计算生物学

生物信息学和计算生物学（BCB）集中旨在向下一代生物统计学家提供解决关键科学和公共卫生问题所需的知识，尤其是使他们具备开发和使用定量和计算方法所需的技能以及管理，分析和整合大量复杂生物医学数据的工具。学生将学习核心统计方法，并获得有关数据分析方法和计算技能以及生物医学和公共卫生科学中处理“大数据”所必需的技术的培训。除了进行核心方法方面的培训外，该计划还非常重视交叉培训，以使学生成为需要统计数据科学专业知识的跨学科团队的一部分：1）对具有定量/计算科学背景的学生进行培训，以增强他们的能力理解生物学问题和生
The Department of Biostatistics and Computational Biology at the University of Rochester conducts teaching and research in statistical theory and methodology oriented toward the health sciences. Our unique graduate program is located within a School of Medicine environment and provides many opportunities for stimulating interaction with applied research.<br>The department interprets the term statistics very broadly, with specialization available in probability, statistical theory and analysis, biostatistics, and interdisciplinary areas of application. Department faculty participate fully in graduate teaching and individual attention is given to each student through intensive advising, extensive small seminars, and research collaboration. Students have opportunities for supervised teaching and statistical consulting experience. Prior to completing their degrees, most Ph.D. students have several publications underway based on research done in collaboration with faculty members in biostatistics/statistics and in various medical departments.<br>The program interprets the term 'statistics very broadly and permits specialization in probability, statistical theory and analysis, biostatistics, and interdisciplinary areas of application.<br>Course work in statistics is concentrated in three areas - probability, inference, and data analysis. Beginning students should expect to spend all of their first year, most of their second year, and some of their third year taking formal courses. The balance of time is spent on reading and research. Students entering with advanced training in statistics may transfer credits at the discretion of their advisor and in accordance with University policy.<br>In general, the PhD program requires a minimum of four years of study, with five years of study being more common (see Timeline for Degree Completion). Prior to completion of the PhD, most students have some publications underway, including some work related to their dissertation research, possibly other methodological work done in collaboration with other members of the faculty, and often some applied papers with scientific researchers in other fields.<br>The Bioinformatics and Computational Biology (BCB) concentration is designed to educate the next generation of biostatisticians with the knowledge required to address critical scientific and public health questions, and in particular, equip them with the skills necessary to both develop and use quantitative and computational methodologies and tools to manage, analyze, and integrate massive amounts of complex biomedical data.<br>Students learn core statistical methods and obtain training in data analysis methodologies and computational skills and techniques necessary for handling Big Data in the biomedical and public health sciences. In addition to this training in core methods, the program also places great emphasis on cross-training to prepare students to work as part of interdisciplinary teams that require expertise in statistical data science: 1) training students with quantitative/computational science backgrounds to enhance their understanding of biological questions and biological interpretation, and 2) training students with biomedical science backgrounds to proficiently use bioinformatics and computational methods and tools to address scientific questions.