The Ph.D. program prepares students for careers in research and
teaching at the highest levels. The program leading to the Ph.D. in
Information Technology is an interdisciplinary program that assumes
students have already earned an M.S. degree in some allied field. The
prospective doctoral candidate must complete a total of 18 credits in
core requirements. Core courses are drawn from electrical engineering,
systems engineering, computer science, operations research, and
statistics and probability. In addition, a minimum of 18 credits in
an area of specialization must also be completed. A minimum total of
48 credits beyond the masters degree is required. The interdisciplinary
nature of the program allows students substantial flexibility in
designing a customized set of courses ranging from a traditional
program in mathematical statistics to a highly interdisciplinary program
involving systems, computing, and applied statistics. Students must pass
written and oral comprehensives and write a dissertation. A full-time
student can complete the program in about three years, although many
students have demonstrated the feasibility of pursuing the Ph.D. on a
part-time basis. Advanced courses are taught in the late afternoon and
evening to facilitate part-time study.
Further information is available about the
Statistics Component of the Ph.D. Program in Information Technology.
Return to
Top Level Statistics Home Page
Return to
Applied and Engineering Statistics Home Page
Return to
Graduate Study in Statistics Home Page