University of Central Florida

How this program compares

At an estimated $33.3K in total tuition, the Doctorate in Computer Engineering – Intelligent Systems & ML sits roughly 60% below the $82.9K average for AI doctoral programs in our database — placing it in the 19th percentile on cost among the 42 we track at this level.

Admission Snapshot

Typical admitted student: A master's degree in computer engineering, computer science, or a related field with a minimum GPA of 3.0, relevant research experience, and technical prerequisites in algorithms, programming, and linear algebra are typically required. GRE scores are often optional, with strong emphasis on research potential and prior publications.

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. Coursework concentrates on Generative AI and LLMs and Tech. Most students complete it in about 5 years.

Estimated total tuition is $33.3K, below the $82.9K average for AI doctoral programs in our database and in the 19th 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 Engineering AI through machine learning Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $145,000.

Career Outcomes

Pursue advanced AI Research Scientist in Engineering AI through machine learning

• 1. Machine Learning Research Scientist
• 2. AI Systems Architect
• 3. Intelligent Systems Engineer
• 4. Computer Engineering Professor

What You'll Learn

• Design and optimize intelligent systems using machine learning frameworks.
• Develop advanced ML models for real-world computer engineering challenges.
• Apply reinforcement learning and deep learning to autonomous systems.
• Conduct original research in AI-driven hardware-software integration.

Curriculum Highlights

The program requires formal coursework in advanced computer architecture and algorithms, with specialized training in machine learning, knowledge representation, and complex adaptive systems.

Top Employers

Top employers include tech leaders like Google, NVIDIA, Intel, and research labs such as DARPA and national AI centers.

Admissions

A master's degree in computer engineering, computer science, or a related field with a minimum GPA of 3.0, relevant research experience, and technical prerequisites in algorithms, programming, and linear algebra are typically required. GRE scores are often optional, with strong emphasis on research potential and prior publications.

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+)