Western New England University
Graduate Engineering Certificate In Artificial Intelligence
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 $15.9K in total tuition, the Graduate Engineering Certificate In Artificial Intelligence sits about 39% above the $11.4K average for AI certificate programs in our database β placing it in the 77th 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 or a related STEM field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, mathematics, or computer science. Professional experience in engineering is preferred but not always mandatory.
About This Program
This graduate certificate provides working professionals with a stackable credential to integrate artificial intelligence and machine learning techniques into their existing engineering careers. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 1 year.
Estimated total tuition is $15.9K, above the $11.4K average for AI certificate programs in our database and in the 77th 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 Machine Learning Engineer in Engineering AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.
Career Outcomes
Gain machine learning skills to advance as Machine Learning Engineer in Engineering AI
- 1. AI Systems Engineer
- 2. Machine Learning Engineer
- 3. Robotics AI Specialist
- 4. Data Analytics Engineer
What You'll Learn
- Design and implement machine learning models for engineering applications
- Apply deep learning techniques to optimize engineering systems
- Develop AI-driven solutions for robotics and automation
- Analyze engineering data using advanced AI algorithms
Curriculum Highlights
The 12-credit curriculum consists of four graduate-level courses that can be directly applied toward a future Master of Science in Industrial Engineering or Engineering Management.
Top Employers
Top employers include tech firms like Google, Microsoft, and Amazon, as well as engineering companies such as Boeing, Lockheed Martin, and General Electric.
Admissions
A bachelor's degree in engineering or a related STEM field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, mathematics, or computer science. Professional experience in engineering is preferred but not always mandatory.
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: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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