VIGRE in Statistics at Carnegie Mellon

在卡内基梅隆大学，统计系的VIGRE计划将涉及所有受监督的跨学科研究的学员，在那里他们将学习如何将研究问题转化为合理的统计问题，解决这些问题，并将结果转化为相关科学界可以访问的产品。这项技能也是学习基本统计的核心，并在研究和教育之间形成概念联系，促进两者的融合。 在研究生水平的过程中的经验包括一个为期一年的项目，通常与教师在另一个领域，而统计教师担任顾问;提供了一系列的步骤，以提高沟通技巧和教学效率，并在专业成长领域的导师。 将修改研究生课程，使其更有效地培养跨学科技能。 本科生将有几个新的课程，并将参与一个顶点研究项目，我们将运行一个夏季计划，强调少数民族学生。博士后研究员将参与研究项目，并将与高级教师共同教授课程。他们还将参加结构化的辅导会议。本科生，研究生和博士后实习生将被整合到研究团队中。 卡内基梅隆大学的VIGRE统计计划将（一）培养博士后研究员的职业生涯，强调在需要多功能性的环境中进行研究，（二）招募和留住美国研究生，避免过多的时间来完成博士学位，同时为学生提供毕业后成功的高概率，以及（三）帮助增加美国本科生的数量，包括女性和少数民族。受过统计学的高级训练 在保持统计实践的强大学科基础的同时，该计划强调跨学科研究和理解统计新手的需求。

At Carnegie Mellon University, the VIGRE program of the Department of Statistics will involve all trainees in supervised, cross-disciplinary research, where they will learn how to translate a research question into well-posed statistical problems, solve these problems, and translate the results back into a product that is accessible to the relevant scientific community. This skill is also central to learning basic statistics and forms a conceptual link between research and education, facilitating their integration. At the graduate level experience in the process includes a year-long project, typically with a faculty member in another domain, while a Statistics faculty member serves as advisor; provides a series of steps to improve communication skills and teaching effectiveness, and mentors in the area of professional growth. The graduate curriculum will be modified to make it more effective in building cross-disciplinary skills. Undergraduates will have several new courses available and will be involved in a capstone research project, and we will run a summer program, emphasizing minority students. Postdoctoral fellows will be involved in research projects, and will co-teach courses with senior faculty. They will also participate in structured mentoring sessions. Undergraduate, graduate, and postdoctoral trainees will be integrated in research teams. The Carnegie Mellon VIGRE program in Statistics will (i) train postdoctoral fellows for careers emphasizing research in settings that require versatility, (ii) recruit and retain U.S. graduate students, avoiding excessive time to complete Ph.D.s while providing students with a high probability of success after graduation, and (iii) help increase the numbers of U.S. undergraduates, including women and minorities, with advanced training in statistical science. While maintaining a strong disciplinary foundation for statistical practice, the program emphasizes cross-disciplinary research and understanding the needs of statistical novices.