Ph.D. in Information Technology - Cybersecurity & Machine Learning
University of Nebraska Omaha · Omaha, Nebraska, United States
Academic Overview & Description
Interdisciplinary doctoral program at the Peter Kiewit Institute addressing automated vulnerability detection, biometric authentication, secure IoT firmware, and big data graph analytics.
Funding & Financial Support
- Funding Award
- Graduate Assistantships $29,000/year plus complete tuition waiver in the Peter Kiewit Institute
- Tuition Rate
- Covered by assistantship
- Application Fee
- $50
Admission & Candidate Requirements
- Academic GPA
- BS or MS in Computer Science, Cybersecurity, or MIS with GPA 3.3+
- English Language
- TOEFL 80+
- Standardized Exam
- GRE optional
- Application Materials
- Statement of purpose and research proposal
- Letters of Recommendation
- Three letters of recommendation
Institutional Guidance
For official application submission procedures, portal logins, and faculty matching, consult University of Nebraska Omaha's detailed profile or visit the department application portal.
Verified record · Updated 2026-10-16 · Editorial standards