Stevens Institute of Technology
Graduate Certificate in AI in Engineering Design
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $23.5K in total tuition, the Graduate Certificate in AI in Engineering Design sits about 106% above the $11.4K average for AI certificate programs in our database β placing it in the 89th percentile on cost among the 236 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
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. Coursework concentrates on AI in Marketing / Design and AI Engineering / Applied AI. Most students complete it in about 1 year.
Estimated total tuition is $23.5K, above the $11.4K average for AI certificate programs in our database and in the 89th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Gain machine learning skills to advance as AI Engineer in Engineering AI Graduates frequently move into roles such as AI Engineer, with reported salaries around $125,000.
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: 2β3
- 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+)
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