FL

PhD in AI
On-Campus

University of Central Florida

PhD in Computer Engineering – Intelligent Systems, ML

  • Orlando
About This Program

This research-oriented doctoral program prepares students for advanced careers in academia or industry by focusing on the highest levels of theory and practice in computer engineering.

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What You'll Learn

Students will develop the ability to conduct original research, solve complex engineering problems, and master intelligent system technologies such as robotics, agents, and expert systems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program requires formal coursework in advanced computer architecture and algorithms, with specialized training in machine learning, knowledge representation, and complex adaptive systems.
Typical Course Topics
1. Advanced Machine Learning 2. Intelligent Systems and Robotics 3. Deep Learning Architectures 4. Reinforcement Learning 5. Computer Vision and Pattern Recognition 6. Embedded Systems for AI
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A master's degree in computer engineering, computer science, or a related field with a minimum GPA of 3.5, relevant research experience, and strong letters of recommendation are typically required. GRE scores are often optional, with preference given to applicants demonstrating prior publications or technical projects in intelligent systems or ML.
Academic Requirements (Typical)

• Degree Required: Master’s degree preferred
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Drive advanced AI Research Scientist in Engineering AI through machine learning

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Machine Learning Engineer: $145,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Research Scientist 2. AI Systems Architect 3. Intelligent Systems Professor 4. Embedded AI Engineer
Top AI Employers (Industry-Wide):
Top employers include tech leaders like Google, NVIDIA, Intel, and research institutions such as DARPA and national labs.
Explore AI Career Paths
Program Details
Duration
  • 4 Year
Tuition
  • 33,300
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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