University of North Florida
PhD in Computing – Intelligent Systems
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $35.5K in total tuition, the PhD in Computing – Intelligent Systems sits roughly 57% below the $82.9K average for AI doctoral programs in our database — placing it in the 29th percentile on cost among the 42 we track at this level.
Admission Snapshot
Typical admitted student: A master's degree in computer science, computing, or a related field with a minimum GPA of 3.5 is typically required, along with demonstrated research experience or publications in intelligent systems or AI. GRE scores are often optional, with strong emphasis on letters of recommendation and a research proposal.
About This Program
This research-based doctoral program prepares students for advanced leadership roles in academia and industry through a focus on intelligent computing systems. Coursework concentrates on Data Science & Intelligent Systems and Tech. Most students complete it in about 4 years.
Estimated total tuition is $35.5K, below the $82.9K average for AI doctoral programs in our database and in the 29th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Pursue advanced AI Research Scientist in Cross-Industry AI through intelligent computing Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $145,000.
Career Outcomes
Pursue advanced AI Research Scientist in Cross-Industry AI through intelligent computing
- 1. AI Research Scientist
- 2. Machine Learning Engineer
- 3. Intelligent Systems Architect
- 4. University Professor in AI
What You'll Learn
- Design and implement advanced AI algorithms for intelligent decision-making.
- Conduct original research in machine learning models and applications.
- Develop intelligent systems for autonomous agents and robotics.
- Analyze and optimize computational intelligence techniques for real-world problems.
Curriculum Highlights
The curriculum features graduate coursework in research methods and computing theory, leading to a major doctoral dissertation project.
Top Employers
Top employers include tech leaders like Google, Microsoft, Amazon, and research institutions such as DARPA and national labs.
Admissions
A master's degree in computer science, computing, or a related field with a minimum GPA of 3.5 is typically required, along with demonstrated research experience or publications in intelligent systems or AI. GRE scores are often optional, with strong emphasis on letters of recommendation and a research proposal.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Master's degree preferred
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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