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 2% above the $11.4K average for AI certificate programs in our database — placing it in the 64th 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, 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.

Estimated total tuition is $11.7K, above the $11.4K average for AI certificate programs in our database and in the 64th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Strengthen machine learning skills to advance as AI Research Scientist in Engineering AI Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $120,000.

Career Outcomes

Strengthen machine learning skills to advance as AI Research Scientist in Engineering AI

• 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

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.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)