University of Central Florida
PhD in Computer Engineering - Intelligent Systems/ML
How this program compares
Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.
Admission Snapshot
Typical admitted student: Applicants to PhD programs in Computer Engineering with Intelligent Systems/ML focus typically hold a master's degree in a related field, with a minimum GPA of 3.5, research experience, and strong letters highlighting technical expertise. GRE scores are often optional, with emphasis on prior publications or projects in ML/AI.
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
Command advanced AI Research Scientist in Engineering AI through machine learning
- 1. Machine Learning Research Scientist
- 2. AI Systems Architect
- 3. Computer Vision Engineer
- 4. University Professor in AI/ML
What You'll Learn
- Design and optimize machine learning models for intelligent systems
- Conduct original research in AI algorithms and computer engineering applications
- Implement deep learning techniques for data analysis and prediction
- Develop autonomous systems using reinforcement learning and computer vision
- Evaluate and improve AI system performance and scalability
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, Microsoft, NVIDIA, and research institutions such as national labs and defense contractors.
Admissions
Applicants to PhD programs in Computer Engineering with Intelligent Systems/ML focus typically hold a master's degree in a related field, with a minimum GPA of 3.5, research experience, and strong letters highlighting technical expertise. GRE scores are often optional, with emphasis on prior publications or projects in ML/AI.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Master's degree preferred (BS with exceptional qualifications considered)
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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