University of Wisconsin–Milwaukee

How this program compares

At an estimated $14.0K in total tuition, the Graduate Certificate in Artificial Intelligence and ML sits about 27% above the $11.0K average for AI certificate programs in our database — placing it in the 74th 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 computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or coursework in data structures and algorithms is preferred.

About This Program

A smart upskilling credential for professionals and graduate students designed to provide advanced training in the global AI market. Coursework concentrates on Natural Language Processing (NLP) and Computer Vision. Most students complete it in about 1 year.

It is one of 25 AI-related programs we track in Wisconsin, of which about 56% offer an online option. On price, it comes in cheaper than about 68% of the Wisconsin programs in our data, where typical tuition runs near $34.7K.

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

Design and implement machine learning models for predictive analytics.

Budget planners should note $14.0K estimated total tuition (74th percentile among AI certificate programs, above the $11.0K average). Applicants should weigh that premium against the program's outcomes and brand.

Career Outcomes

The Graduate Certificate in Artificial Intelligence and ML at University of Wisconsin–Milwaukee (Milwaukee, Wisconsin) is oriented toward AI Engineer hiring, with alumni reporting pay near $120,000. Its focus on Natural Language Processing (NLP) and Computer Vision 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. Machine Learning Engineer
• 2. AI Data Scientist
• 3. NLP Specialist
• 4. Computer Vision Engineer

What You'll Learn

• Design and implement machine learning models for predictive analytics
• Apply deep learning techniques to image and sequence data
• Develop natural language processing systems for text analysis
• Evaluate AI systems for bias, ethics, and real-world deployment

Curriculum Highlights

The 15-credit curriculum covers intro to AI, machine learning fundamentals, and applications such as natural language processing and computer vision.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and IBM, as well as industries adopting AI in healthcare, finance, and manufacturing.

Admissions

Admission to University of Wisconsin–Milwaukee's Graduate Certificate in Artificial Intelligence and ML 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: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions