统计学哲学博士

在统计系研究生课程中，我们的目标是不仅培养学术界的统计学家，还要培养将成为医学，法律，金融，技术，政府和工业等领域领导者的统计学家。我们的研究生课程是成功从事统计学工作的垫脚石。我们的毕业生在大学，银行和金融服务，信息技术，医学研究，经济研究和公共政策等职业方面都有出色的录取记录。我们过去的几位博士生通过发展基本统计方法论，在统计学的学术领域中取得了自己的成就。<br> <br>我们的博士课程的一个独特方面是我们的综合且均衡的培训，涵盖研究，教学和职业发展。该系鼓励在理论和应用统计方面进行研究。该系的教职
In the Department of Statistics graduate program, we aim to develop statisticians not only for academia, but also ones who will become leaders in endeavors such as medicine, law, finance, technology, government, and industry. Our graduate program is a stepping stone to a successful career in statistics. Our graduates have an outstanding placement record, having had their choice of careers in academia, banking and financial services, information technology, medical research, economic research and public policy. Several of our past PhD students have made their own marks in the academic world of statistics through development of fundamental statistical methodology. A unique aspect of our PhD program is our integrated and balanced training, covering research, teaching, and career development. The department encourages research in both theoretical and applied statistics. Faculty members of the department lead the field in research on a multitude of topics that include statistical inference, statistical computing and Monte-Carlo methods, analysis of missing data, causal inference, stochastic processes, multilevel models, experimental design, network models and the interface of statistics, and the social, physical, and biological sciences. A unique feature of the department lies in the fact that apart from methodological research, all the faculty members are also heavily involved in applied research, developing novel methodology that can be applied to a wide array of fields like astrophysics, biology, chemistry, economics, engineering, public policy, sociology, education, and many others. Two carefully designed special courses offered to PhD students form a unique feature of our program. Among these, Stat 303 equips students with the basic skills necessary to teach statistics, as well as to be better overall statistics communicators. Stat 366 equips them with skills necessary for research and scientific communication. Our PhD students often receive substantial guidance from several faculty members, not just from their primary advisors, and in several settings. For example, every PhD candidate who passes the qualifying exam gives a 30-minute presentation each semester (in Stat 300), in which the faculty ask questions and make comments.