For students entering the program after a Bachelors Degree, typically 16 to 18 courses are required. An individual plan of study is developed by the student and his or her Advisory Committee.
Knowledge of a sequence of core courses is required for all Ph.D. students. These courses are 5585-5685 (Mathematical Statistics), 5505-5605 (Applied Statistics), 5725, 6694 (Linear Models), 6315, 6515 (Theory of Statistics), 6325-6894 (Measure Theory and Probability Theory), 5515 (Design of Experiments), giving a total of 33 credits for core courses. Additional credits can be earned from the list of elective courses.
With regard to the University requirement under Foreign Language, related or supporting area of study, Ph.D. students are encouraged to take courses in Computer Science and Mathematics, as well as in application areas such as Biology or Economics.
The first formal departmental requirement for the Ph.D. program is successfully passing the Ph.D. Qualifying Examination which is a written test of certain basic courses to the program. The next requirement is passing of the General Examination which is given as an oral test and covers aspects of Applied Statistics, Linear Models, Probability Theory and Statistics. The preparation of a dissertation then follows which must present an original contribution to the general area of Statistics and/or Probability. The final requirement of the program is a defense of the Ph.D. dissertation before an audience of interested members of the department.
NOTE: For students arriving with a Bachelor's Degree and receiving financial support from the Department, we propose the following timetable for these examinations:
Ph.D. Qualifying Examination: within 3 semesters from start of program.
General Examination: within 6 semesters from start of program.
Ph.D. Thesis Defense: no later than 5 years from start of program. |
University of Connecticut |