The Ph.D. in Information Technology provides a research-intensive focus in the interdisciplinary areas of information systems, cyber security, data analytics and artificial intelligence. Optional concentrations are also available in Cyber Security or Artificial Intelligence and Machine Learning. Both part-time and full-time admission is available for students. Full-time professionals can balance career and academic aspirations by completing the program as a part-time student.
This program prepares individuals for careers in academia, government and/or industry. Students collaborate with faculty on research projects, research colloquia and departmental seminars.
Admission to the program is limited and competitive. Meeting the minimum admission requirements does not guarantee acceptance into the program.
Must complete university-wide graduate requirements in addition to the following
- A completed online application form
- Official transcripts of all undergraduate and graduate coursework completed
- Foreign credential evaluation (if applicable)
- Recent GMAT or General GRE scores (from the last five years)
- TOEFL or IELTS (international students)
- Personal statement of academic interest and goals
- Resume or Curriculum Vitae
- Three recommendation letters from academic or professional sources
The annual application deadline for full-time students is February 1. The deadline to apply for the fall semester is February 1 and the spring semester is September 1 for part-time students.
The primary goal of the doctoral program in information technology is to prepare students for academic careers in higher education, as well as selected research positions in government and industry. It provides students with a strong grounding in IS/IT research methodology and the current state of research in information systems, cyber security, data analytics and artificial intelligence. Students can choose to focus their studies on traditional Information Systems, or may select an optional concentration in either Cyber Security or Artificial Intelligence and Machine Learning.
Doctoral-level coursework focuses on research methodology and statistics courses and seminars on information technology topics. In the latter stages, students choose free electives to support their specific interests. While the major part of the first two years is devoted to coursework, students participate in research projects with faculty members. Following completion of coursework, the student will demonstrate proficiency in research by completing a dissertation.
Faculty & Research
Our faculty research interests range from highly technical to highly behavioral areas. These include, but are not limited to, computer and network security, cloud security, digital forensics, electronic commerce, knowledge management, IT innovation and performance, IS/IT economics and IS strategy. Our faculty consistently publishes in premier information systems journals such as MIS Quarterly, Information Systems Research and Journal of Management Information Systems and premier cyber security and data analytics journals such as IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Big Data.
Scholarships & Assistantships
Early application is strongly recommended to be considered for scholarships, assistantships or other forms of financial support. Please note that admission into the program is not a guarantee of financial support. Ph.D. students who are selected for funding typically receive a financial package for a period of up to four years.
For more information contact Charles Liu, Ph.D. program advisor at email@example.com.