University of Maine

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: A bachelor's degree in engineering, computer science, or a related technical field with a minimum GPA of 3.0 is required; relevant coursework in programming and mathematics is preferred.

About This Program

A graduate certificate that deepens technical expertise in applying artificial intelligence tools to real-world engineering and design challenges.

Career Outcomes

Gain deep learning skills to advance as Machine Learning Engineer in Engineering AI

• 1. AI Systems Engineer
• 2. Machine Learning Engineer
• 3. Robotics Applications Specialist
• 4. Engineering AI Consultant

What You'll Learn

• Apply machine learning algorithms to engineering design challenges
• Implement AI models for system optimization and automation
• Develop intelligent control systems for robotics and manufacturing
• Use AI for predictive analytics in engineering processes

Curriculum Highlights

The 12-credit curriculum includes courses in neural networks, deep learning, and engineering optimization using Python or MATLAB.

Top Employers

Top employers include engineering firms like Lockheed Martin, Boeing, General Electric, and tech companies such as Google and NVIDIA.

Admissions

A bachelor's degree in engineering, computer science, or a related technical field with a minimum GPA of 3.0 is required; relevant coursework in programming and mathematics is preferred.

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: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)