Stevens Institute of Technology

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 field with a minimum GPA of 3.0 is required; relevant work experience or prerequisite coursework in programming and mathematics is often preferred.

About This Program

This certificate explores the integration of artificial intelligence into engineering workflows to optimize design and manufacturing processes.

Career Outcomes

Gain machine learning skills to advance as AI Engineer in Engineering AI

• 1. AI Design Engineer
• 2. Machine Learning Engineer in Manufacturing
• 3. Product Design Automation Specialist
• 4. Engineering AI Consultant

What You'll Learn

• Apply machine learning algorithms to optimize engineering design parameters
• Use generative AI models for automated product prototyping and iteration
• Integrate computer vision techniques into design validation and simulation
• Develop AI-driven tools for predictive modeling in engineering systems

Curriculum Highlights

Coursework focuses on the applications of AI in structural design, materials science, and the automation of engineering systems.

Top Employers

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

Admissions

A bachelor's degree in engineering, computer science, or a related field with a minimum GPA of 3.0 is required; relevant work experience or prerequisite coursework in programming and mathematics is often 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+)