Doctor's degree Statistics - Harvard University

Doctor's degree Statistics from Harvard University is a Campus Ph.D Statistics degree that prepares you for a Education career. The department encourages applications from students with strong mathematical backgrounds who plan to concentrate on theoretical statistics, students with training in substantive fields whose primary interest is in applied statistics, and students whose backgrounds and interests lie between these two extremes. In addition to formal course work and dissertation research, students are encouraged to work closely with faculty and to attend seminars concerning current problems in empirical research and thereby to gain experience with interdisciplinary statistical research and consulting. All PhD candidates are expected to engage in some teaching during their period of training. The minimum mathematical preparation for admission to graduate study in statistics is linear algebra and advanced calculus. Ideally, each student’s preparation should include at least one term each of mathematical probability and mathematical statistics. Additional study in statistics and related mathematical areas, such as analysis and measure theory, is helpful. In the initial stages of graduate study, students should give high priority to acquiring the mathematical level required to satisfy their objectives. Before registering for their fall term classes, all entering students will be required to take a diagnostic test in mathematics. Performance on this test will assist the department in determining whether students need additional mathematics preparation. Successful applicants demonstrate that they understand what the discipline of statistics entails, and show evidence of involvement in applications or a strong theoretical interest. They are able to articulate a strong motivation for studying statistics. As statistics is so intimately connected with computation, computation is an important part of almost all courses and research projects in the department. Ideally, students should have programming experience in, or exposure to, some high-level computer language, such as SAS, S+, Fortran, and C. View more details on Harvard University . Ask your questions and apply online for this program or find other related Statistics courses.