The Doctor of Philosophy (PhD) program in Statistics is designed to prepare you to work on the frontiers ofthe discipline of Statistics, whether your career choice leads you into research and teaching or into leadership roles in business, industry and government. The program is very flexible particularly in the choice of electives and of research topic. You may even choose to do research on the interface of Statistics and some other discipline, such as Computer Science, Genetics, Forestry, Bioinformatics, Economics, etc. The course requirements are designed to ensure that you have sufficient training in Probability, Statistical Inference, Computing, and Applications to prepare you for research on the cutting edge of Statistics. The MS degree is not a prerequisite for the PhD program, but training equivalent to that specified in the MS program is necessary preparation for the PhD core courses. An incoming PhD student may waive the MS-level core with the appropriate equivalent training from another institution; however, a student who is missing any element of the MS-level core will be required to pass the PhD Qualifying Examination. Proficiency in mathematics, particularly in Real Analysis, and in computing is indispensable for successful completion of the PhD program. Many items in this section, with some modifications for the Department’s purposes, are taken from the Graduate Bulletin. Course Requirements Program Requirements
