This graduate certificate introduces students to the core concepts and techniques used for building and evaluating intelligent systems. It provides hands-on practice with real-world engineering problems.
Participants learn about decision trees, rule-based systems, and Bayesian learning. They also gain experience with neural networks, support vector machines, and fuzzy logic systems.
• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required
Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.
Gain data mining skills to advance as Machine Learning Engineer in Engineering AI