Western New England University

How this program compares

At an estimated $15.9K in total tuition, the Graduate Engineering Certificate In Artificial Intelligence sits about 45% above the $11.0K average for AI certificate programs in our database — placing it in the 79th percentile on cost among the 180 we track at this level. It is one of the 54% 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. Most students complete it in about 1 year.

Design and implement machine learning models for engineering applications.

At roughly $15.9K total, Western New England University's Graduate Engineering Certificate In Artificial Intelligence sits above the $11.0K average among AI certificate programs we track — the 79th percentile on price. Applicants should weigh that premium against the program's outcomes and brand.

It is one of 27 AI-related programs we track in Massachusetts, of which about 56% offer an online option. On price, it comes in cheaper than about 88% of the Massachusetts programs in our data, where typical tuition runs near $58.9K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Graduates of Western New England University's Graduate Engineering Certificate In Artificial Intelligence most often target Machine Learning Engineer roles, where reported compensation runs around $120,000. Its focus on Machine Learning and Deep Learning maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Western New England University's Graduate Engineering Certificate In Artificial Intelligence generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions