DoctoralOn-CampusFull-Time

University of Central Florida

PhD in Computer Engineering – Intelligent Systems, ML

Orlando, Florida4 years$33K total tuition
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Est. Salary$145,000
Job Growth+23%
Top RoleAI Research Scientist
FormatOn-Campus

Admission Snapshot

Degree Required
Master's degree preferred
Duration
4 years
Est. Tuition
$33K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Machine Learning, Tech

Typical admitted student: 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.

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.

Career Outcomes

Drive advanced AI Research Scientist in Engineering AI through machine learning

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

What You'll Learn

  • Design and optimize machine learning models for real-world intelligent systems applications.
  • Develop embedded hardware architectures supporting AI and ML workloads.
  • Conduct original research in reinforcement learning and deep neural networks.
  • Integrate intelligent systems with computer engineering principles for scalable deployment.

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 institutions such as DARPA and national labs.

Admissions

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.

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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