The University of Vermont

How this program compares

At an estimated $8.3K in total tuition, the Artificial Intelligence Graduate Certificate sits roughly 24% below the $11.0K average for AI certificate programs in our database — placing it in the 47th 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 a related field such as computer science, engineering, or mathematics is required, along with a minimum GPA of 3.0 and relevant technical background or work experience. GRE is typically not required for certificate programs.

About This Program

This professional certificate provides an overview of AI technologies with a focus on designing ethical systems that prioritize human needs and societal impact. Coursework concentrates on Natural Language Processing (NLP) and Machine Learning. Most students complete it in about 1 year.

It is one of 3 AI-related programs we track in Vermont, of which about 100% offer an online option. On price, it comes in cheaper than about 100% of the Vermont programs in our data, where typical tuition runs near $22.1K.

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

Design and implement machine learning models for real-world applications.

Estimated total tuition is $8.3K, below the $11.0K average for AI certificate programs in our database and in the 47th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Career Outcomes

The Artificial Intelligence Graduate Certificate at The University of Vermont (Burlington, Vermont) is oriented toward AI Engineer hiring, with alumni reporting pay near $120,000. Its focus on Natural Language Processing (NLP) and Machine Learning maps directly to how employers 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 Engineer
• 2. Machine Learning Specialist
• 3. Data Scientist
• 4. AI Ethics Consultant

What You'll Learn

• Design and implement machine learning models for real-world applications.
• Apply deep learning techniques to process and analyze complex datasets.
• Evaluate ethical implications and biases in AI systems.
• Develop AI solutions using programming, algorithms, and data analytics.

Curriculum Highlights

The curriculum covers core AI methods, ethical frameworks, governance, and the integration of AI tools into human-centered workflows.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and IBM, as well as consulting firms and research organizations.

Admissions

Admission to The University of Vermont's Artificial Intelligence Graduate Certificate generally expects a bachelor's degree. The GRE is not required 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
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions