Typical admitted student: A bachelor's degree in engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with demonstrated programming skills and relevant coursework in math or AI.

About This Program

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.

Career Outcomes

Gain data mining skills to advance as Machine Learning Engineer in Engineering AI

1. Intelligent Systems Engineer
2. Robotics Applications Engineer
3. AI Engineering Specialist
4. Automation Controls Engineer

What You'll Learn

Design intelligent systems for engineering optimization and automation
Apply machine learning algorithms to real-world engineering data
Develop AI-driven control and robotics solutions
Analyze and predict system performance using intelligent techniques

Curriculum Highlights

The 12-credit curriculum requires three courses chosen from a list including data mining, information engineering, and pattern recognition. Courses are scheduled to accommodate working professionals.

Top Employers

Top employers include automotive manufacturers like Ford and GM, tech firms such as Google and IBM, aerospace companies, and engineering consultancies.

Admissions

A bachelor's degree in engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with demonstrated programming skills and relevant coursework in math or AI.

Application Materials

Statement of Purpose: Required
Letters of Recommendation: 2–3
Resume: Required
Transcripts: Official transcripts required

Academic Requirements

Degree Required: Bachelor's degree
GRE/GMAT: Optional
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Student Reviews

Loading reviews...

Ready to Apply?

Visit the official program page for the latest deadlines, tuition, and application requirements.

Visit Official Program Page ↗Compare Programs