University of Wisconsin–Madison

How this program compares

At an estimated $11.7K in total tuition, the Capstone Certificate in AI for Engineering Data Analytics sits about 7% above the $11.0K average for AI certificate programs in our database — placing it in the 67th 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, computer science, or a related technical field with a minimum GPA of 3.0 is required, along with relevant professional experience preferred for this graduate-level certificate.

About This Program

A nine-credit, fully online certificate that equips practicing engineers with specialized expertise in AI-driven data analysis and application deployment. Coursework concentrates on Machine Learning and Generative AI and LLMs. Most students complete it in about 1 year.

Budget planners should note $11.7K estimated total tuition (67th percentile among AI certificate programs, above the $11.0K average). Applicants should weigh that premium against the program's outcomes and brand.

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 80% of the Wisconsin programs in our data, where typical tuition runs near $34.7K.

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

Apply AI and machine learning tools to automate engineering workflows and solve technical challenges.

Career Outcomes

The Capstone Certificate in AI for Engineering Data Analytics at University of Wisconsin–Madison (Madison, Wisconsin) is oriented toward AI Research Scientist hiring, with alumni reporting pay near $120,000. Its focus on Machine Learning and Generative AI and LLMs 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 Engineer for Manufacturing
• 2. Data Analytics Engineer
• 3. Machine Learning Specialist in Engineering
• 4. Technical AI Consultant

What You'll Learn

• Apply AI and machine learning tools to automate engineering workflows and solve technical challenges.
• Analyze engineering datasets to derive actionable insights for design and operations.
• Develop generative AI applications like chatbots for real-world engineering contexts.
• Optimize systems using predictive analytics and data-driven decision-making.

Curriculum Highlights

The curriculum features core courses in machine learning for industrial engineers and generative AI, with electives in engineering statistics or decision analysis.

Top Employers

Top employers include engineering firms like Boeing and General Electric, tech companies such as Google and Microsoft, manufacturing leaders like Caterpillar, and consulting groups focused on industrial AI.

Admissions

Admission to University of Wisconsin–Madison's Capstone Certificate in AI for Engineering Data Analytics 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